bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthetic MRI derived quantitative mapping in predicting Lymphovascular interstitial infiltration status of cervical cancer
Authors: Huang Zebo , Dou Weiqiang , Tang Wenwei
Published: August 2024

This study aimed to investigate whether synthetic-MRI derived quantitative maps can predict lymphovascular interstitial infiltration (LVSI) status in cervical cancer. 49 patients with cervical cancer were recruited with the status of LVSI confirmed by pathology. Synthetic MRI derived T1, T2 and PD mapping were obtained for each patient. Statistical differences were shown in T1 and PD values between LVSI-positive and LVSI-negative patients. An optimal diagnostic efficacy was further shown for T1+PD with high AUC of 0.777. With these findings, it can be concluded that relaxation maps derived from synthetic MRI may be helpful for predicting LVSI status in cervical cancer.
Reduction of artifacts and background signals in ex vivo mouse embryo MRI by potato starch suspension
Authors: Tsurugizawa Tomokazu , Kumamoto Takuma , Yoshioka Yoshichika
Published: August 2024

The high-field MRI enables to investigate the microstructure in the mouse embryo. The proton-free fluid is used for the surrounding liquid around the specimen in MR-microimaging, but the potential issue of the image quality remains due to the air bubbles on the edge of the specimen and the motion artifact. Here, we demonstrated that the potato starch suspension with phosphate-buffered saline showed a low T1 and T2 signal intensity and strongly prevent the motion of the embryo during the scanning. These results indicate the utility of potato starch suspension for MR-microimaging of mouse embryos.
Imaging findings and differential diagnosis of hyperintense hepatocellular carcinoma on hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI
Authors: Gu Ji , Xing Fei , Wang Yi , Zhao Xian
Published: August 2024

This study evaluates imaging features that can help to differentiate hyperintense HCC from non-HCC benign and malignant lesions. On HBP images, hyperintense nodules can be differentiated with several imaging characteristics, especially HBP hypointense rim, and a focal defect in contrast uptake, that indicate the diagnosis of hyperintense HCCs.
Magnetic Resonance Diffusion Imaging for Colorectal Liver Metastases: A Prospective Study for Model Comparison and Early Response Biomarker
Authors: Li Yue , Zhang Huan , Yue Lei , Fu Caixia , Grimm Robert , Li Wenhua , Guo Weijian , Tong Tong
Published: August 2024

This study investigated and compared the feasibility of whole tumor based texture analysis of various magnetic resonance diffusion imaging as early predictors of the clinical response to chemotherapy in patients with colorectal liver metastases (CRLM). The results showed that baseline DWI parameters and the follow-up changes of IVIM and DKI parameters can be conductive to predict the chemotherapeutic response of patients with CRLM. And Changes in D-parameters (Δ% DMean, Δ% D5th percentile, and Δ% DDiff-entropy) are superior to other diffusion related parameters. This suggests that DKI-related parameters could effectively predict the response in short period after treatment (2-3 weeks).
The value of IVIM for preoperative evaluation of liver regeneration after hepatectomy in hepatocellular carcinoma
Authors: Li Qian , Zhang Tong , Nie Lisha , Wei Xiaocheng , Wei Yi , Song Bin
Published: August 2024

The D value derived from IVIM diffusion-weighted imaging may be a useful marker for the preoperative prediction of liver regeneration in patients with HCC. and the D value derived from IVIM diffusion-weighted imaging shows a significant negative correlation with fibrosis, an important predictor of liver regeneration. No IVIM parameters were associated with liver regeneration in patients who underwent major hepatectomy, but the D value was a significant predictor of liver regeneration in patients who underwent minor hepatectomy.
Deep learning reconstruction for liver T2-weighted and diffusion-weighted imaging：Improvement of image quality and lesion delineation
Authors: Chen Qian , Lin Huimin , Fang Shu , Dai Jiankun , Fu Guifeng , Li Ruokun , Yan Fuhua
Published: August 2024

In this study, deep learning reconstruction (DLR) of liver fast spin echo T2-weighted (FSE-T2WI) and diffusion-weighted (DWI) was performed. The results showed the liver SNR, and lesion CNR were dramatically increased for both the FSE-T2WI and DWI with DLR compared with conventional reconstruction. The image quality of DLR FSE-T2WI even surpassed that of the routinely used PROPELLER T2WI. DLR didn’t impact the quantitative apparent coefficient derived from DWI. T2WI and DWI with DLR also improved the delineation of lesion structure due to improvement of image quality. Our study indicated DLR FSE-T2WI and DWI would be beneficial for liver disease diagnosing.
Bone marrow fat composition assessed by fast and simple 1D MRS combined with intermolecular double-quantum coherence on 3.0 T
Authors: Bao Jianfeng , Wang Xiao , Zhuang Yuchuan , Lin Liangjie , Zhang Yong , Cheng Jingliang
Published: August 2024

Unsaturated fatty acids in the bone marrow may play a critical role in bone metabolism, however, these peaks cannot be well resolved by conventional MRS techniques due to local intensive B0 inhomogeneities. We introduced intermolecular double-quantum coherence to enhance the spectrum resolution on clinical 3.0 T within one minute and more unsaturated peaks can be identified.
Accurate and quantitative assessment of rheumatoid joint synovitis based on DCE-MRI pixel-level analysis
Authors: Mao Jinling , Zhu Zhongqi , Li Yinghao , Wang Hongzhi , Shi Jie
Published: August 2024

In this paper, 18 cases of wrist magnetic resonance enhancement were collected, a pixel-by-pixel time-intensity curves (TIC) analysis method was proposed, four types of enhancement curves were customized, and compared with the synovitis score, the results showed that the area of the rapidly rising and descending pixel area was extremely correlated with the synovitis score (r=0.812).
The value of zero echo time MR imaging for demonstrating bony change of sacroiliac joint in ankylosing spondylitis: a comparative study with CT
Authors: Zhang Ziwei , Song Lingling , He Weixin , Zeng Qi , Nie Lisha , Wei Xiaocheng , Wang Jiawei , Sui He , Huang Zhaoshu , Zhu Xia , Liang Chen , Li Yu
Published: August 2024

The current study aims to compare the detection ability of zero echo time(ZTE) MRI and CT in presenting bony change of sacroiliac joint in ankylosing spondylitis. It was concluded that the ankylosing spondylitis detection rate was comparable between ZTE MRI and CT, where the detection rate of bony erosions by ZTE MRI was higher than that by CT. Our observations indicated that in the future, the ZTE MRI may potentially replace the ionization-related CT method by providing a more comprehensive evaluation of sacroiliitis in ankylosing spondylitis patients.
Estimation of 11C-PE2I PET based cerebral perfusion in Parkinson’s disease patients using quantitative transport mapping network (QTMnet)
Authors: Zhang Qihao , Romano Dominick , Gillen Kelly , Skudin Carly , Alexander Shtilbans , Nguyen Thanh , Spincemaille Pascal , Wang Yi
Published: August 2024

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Using R2* map to evaluate the changes of deep brain nuclei in patients with Parkinson 's disease
Authors: Wang Man , Gao Bingbing , Miao Yanwei , Zheng Dandan
Published: August 2024

R2* is highly sensitive not only to tissue iron level, but also to the microscopic iron distribution. In this study, we first characterize the distribution of R2* within the deep brain nuclei in Parkinson's disease patients and health controls, especially the lateral difference. Secondly, we also evaluate the clinical usefulness of regional R2* for the differential diagnosis between PD and HC group. The results showed that there was no lateral difference in R2* values in the HC and PD groups. The R2* value of the right thalamus in the HC group was statistically higher than that in the PD group.
Alterations of T1 and proton density values of deep brain nuclei based on synthetic MRI in Parkinson’s disease patients
Authors: Zhao Jinghan , Guo Yinghua , Miao Yanwei
Published: August 2024

The objective of this study was to explore whether the alterations of T1 and proton density values could reflect the occurrence of Parkinson's disease (PD) and contribute to the prevention and diagnosis of PD. The T1 values of the left caudate nucleus (CN) and the proton density values of all nuclei were significantly reduced in the PD group compared with the control group. The T1 values of the left globus pallidus (GP) and right thalamus (THU) in the PD group were significantly reduced compared with those of the contralateral side.
Effects of high-grade asymptomatic carotid artery stenosis on grey and white matter structure
Authors: Schmitzer Lena , Kaczmarz Stephan , Göttler Jens , Kallmayer Michael , Eckstein Hans-Henning , Hedderich Dennis , Kufer Jan , Zimmer Claus , Preibisch Christine , Sollmann Nico
Published: August 2024

Internal carotid artery stenosis (ICAS) is a known risk factor for stroke, additionally affecting brain structure and function. We investigated ICAS effects on white and grey matter structure using diffusion tensor imaging (DTI) and cortical thickness assessment, revealing alterations in various indices focused on the corpus callosum without signs of atrophy in grey matter. In addition, small vessel disease (SVD) burden, assessed by peak width of skeletonized mean diffusivity (PSMD), was increased in ICAS patients. Taken together, the structural alterations in white matter might precede those in grey matter, supporting the relevance of assessment of microstructure to detect early changes.
Comparison of Arterial Pulsatility of Cerebral Perforating Arteries between Dual-VENC and Single-VENC Phase-Contrast MRI at 7T
Authors: Tang Jianing , Joe Elizabeth , Chui Helena , Yan Lirong
Published: August 2024

Dysfunction of cerebral perforating arteries is a major pathology of small vessel disease. Previous study has demonstrated the pulsatility of cerebral perforating arteries can be measured by 7T high-resolution PC-MRI. In this study, we systematically compared the performance of PC-MRI with single and dual-VENC on pulsatility index (PI) measurements of cerebral perforating arteries. Our results showed that dual-VENC provides more reliable PI measurements than single VENC. PI measurements were insensitive to the temporal resolution of PC-MRI acquisition but showed greater variations with single VENC. The pilot study suggests that PI of cerebral perforating arteries was significantly higher in aged participants.
Comprehensive Analysis Of APTw Imaging In Diagnosis And Grading Of Gliomas – Bridging The Gap Between Imaging And Histopathological Outcomes
Authors: Yegnaraman Lavanya , Chidambaranathan Natesan , Rajendran Adhityan , Rao Rashmi , Mariyapillai Manikandan , Rolla Narayana
Published: August 2024

The utility of Amide Proton Transfer weighted imaging in preoperative grading of gliomas was studied. 64 patients with various primary intraaxial tumours were included in the study. Mean APTw was able to differentiate between IDH mutant grade 2 and grade 3 gliomas (astrocytomas and oligodendrogliomas) with statistical significance (p<0.05). APTw imaging can well delineate between the tumour core and the tumour periphery and the difference in the APT means between the two regions is statistically significant. APTw imaging also identifies grade 3 tumours misclassified as grade 2 on other sequences.
Analysis of fasting-induced metabolic changes in glioma tissue detected by non-invasive 1H/31P MR-Spectroscopy
Authors: Alcicek Seyma , Divé Iris , Pilatus Ulrich , Prinz Vincent , Steinbach Joachim P. , Forster Marie-Thérèse , Hattingen Elke , Ronellenfitsch Michael W. , Wenger Katharina J.
Published: August 2024

Nutritional interventions such as fasting are currently under evaluation as anti-cancer treatment. In glioma patient cohorts, the feasibility and safety of fasting in addition to antitumor treatment has been shown. However, it is still unclear whether fasting exerts effects on the glioma tumor tissue at all, and whether fasting causes metabolic or immunological changes in the glioma microenvironment that could be exploited therapeutically. This is a report on the metabolic flexibility of tumor cells induced by a fasting cycle of 72 hours prior to biopsy or resection analyzed by MR-Spectroscopy (MRS) as part of the ERGO3-trial.
Metabolic Alternations in Normal Appearing Brain in Brain Tumor Patients: Potential Mechanism of Chemo-Brain
Authors: Najam Natasha , Jiang Sam , Liao Huijun , Lin Alexander
Published: August 2024

Patients that undergo chemotherapy have been shown to develop cognitive dysfunction after treatment. Previous studies have shown changes in white matter metabolism; however, few have examined grey matter metabolism. Our results show that glutamate, glutathione, creatine, N-acetylaspartate, and myoinositol were reduced in the posterior cingulate in tumor patients that underwent chemotherapy when compared to healthy controls. The effect of radiotherapy was also examined but did not show metabolic differences.
Prediction of IDH status of Glioma using Diffusion Tensor Imaging and Clinical features
Authors: Liang Yuxia , Ren Yuhan , Shang Yu , Liu Xiang , Wang Maode , Zhang Ming , Niu Chen
Published: August 2024

Isocitrate dehydrogenase (IDH) is critical to prognosis of glioma. While, reliable techniques for preoperative assessment of IDH status remain scarce. In this study, we investigated mean diffusivity (MD) and anisotropy fraction (FA) using Diffusion Tensor Imaging (DTI) combined with the clinical features to predict IDH status. Our results found significant differences in FAmean/FAnawm, MDmin, NLR, and age between IDH mutant and IDH wild groups. The model incorporating FAmean/FAnawm, MDmin, NLR, and age predicted IDH status with area under ROC curve of 0.85, 95% CI: 74.3%~95.7%. Our findings suggested that DTI combined with clinical features can non-invasively prediction of IDH status.
Multi-modal multi-resolution atlas of the human neonatal cerebral cortex based on microstructural similarity
Authors: Li Mingyang , Xu Xinyi , Cao Zuozhen , Chen Ruike , Zhao Ruoke , Zhao Zhiyong , Wu Dan
Published: August 2024

In this work, we aimed to generate a comprehensive parcellation of the human neonatal cortex based on multi-modal MRI features. We collected the dataset from the developing human connectome project and estimated ten different MRI features to calculate the similarity between different locations in the neonatal cortex. We developed an automated algorithm based on gradient of the integrated similarity map to generate parcellations at different resolutions. We also provided a manual parcellation based on the multimodal similarity for higher anatomical interpretability. The present work may facilitate structural-functional connectome analysis in early brain development.
Associations between Maternal Depression during Pregnancy and Neonatal Brain Resting-State Functional Connectivity
Authors: Na Xiaoxu , Andres Aline , Glasier Charles , Bellando Jayne , Chen Haitao , Gao Wei , Ou Xiawei
Published: August 2024

This study reports associations between maternal depression symptoms during pregnancy and neonatal brain functional connectivity. The mothers self-rated their depression symptoms during pregnancy using Beck Depression Inventory-II, and their newborns underwent a brain MRI examination including structural 3D T1-weighted images and resting-state fMRI for functional connectivity measurements. Most participants scored in the minimal range for depressive symptoms. Significant negative associations between maternal depression symptoms at ~36 weeks of pregnancy and newborn functional connectivity were observed in multiple brain regions/networks, indicating a negative influence of antenatal depression symptoms on neonatal brain functional development even in women with low symptoms of depression.
Cerebral perfusion in neonates with severe congenital heart disease
Authors: De Silvestro Alexandra , Natalucci Giancarlo , Feldmann Maria , Hagmann Cornelia , Nguyen Thi Dao , Coraj Seline , Latal Beatrice , Knirsch Walter , Tuura Ruth
Published: August 2024

We aimed to compare cerebral perfusion in neonates with severe congenital heart disease (CHD) and healthy controls using arterial spin labeling magnetic resonance imaging. Sixty-seven scans of CHD patients and 23 scans of controls were analyzed (postmenstrual age at scan 41.6±1.8 and 41.9±2.1 weeks, respectively). As in healthy neonates, cerebral perfusion in CHD patients increased with age. Whereas age-adjusted whole brain perfusion was similar to controls, redistribution of regional perfusion was detected in CHD patients. Furthermore, the presence of a systemic-to-pulmonary shunt was associated with cerebral hypoperfusion. Effects of cerebral perfusion alterations on neurodevelopment need to be further assessed.
Distance-dependent changes in functional connectivity in neonatal brain
Authors: Wu Yihan , Li Ruolin , Shuai Yifan , Zhao Zhiyong , Wu Dan
Published: August 2024

The present study aimed to explore functional connectivity changes with anatomical distance in neonatal brain by using the second dHCP resting-state fMRI dataset. We calculated distance-dependent functional connectivity density (FCD) maps to test for the effect of age, preterm-birth, and gender. Results found that the FCD in neonatal brains showed distance-dependent changes with PMA, in which the short- and long-range FCD changes were associated with maternal environment and postnatal experience, respectively. Moreover, the preterm- and term-born infants showed different patterns in short- and long-range FCD. These findings suggested distance-dependent changes in functional connectivity in neonatal brain during early development.
Pre and Post contrast Simultaneous Parametric Mapping of Glioblastomas from routine T1 weighted images for Quantitative Enhancement Assessment
Authors: Moya-Sáez Elisa , de Luis-García Rodrigo , Hernández-Tamames Juan A. , Alberola-López Carlos
Published: August 2024

Gadolinium based contrast agents (GBCAs) have the ability to uncover blood brain barrier damage, which appears in the images as contrast enhancement caused by the leakage into the perivascular tissues. However, in clinical practice, this assessment is performed by visual comparison between the weighted images obtained before and after the GBCA injection; enhancement quantification is still an unmet need. In this work we propose a deep learning approach for the computation of pre- and post-contrast parametric maps from conventional T1 weighted images. Results show how those maps can enable an automatic quantification of the tumor enhancement.
Magnetic resonance fingerprinting in patients with Parkinson's disease
Authors: Wu Yaping , Xie Qian , Zhang Ge , Bai Yan , Yue Xipeng , Wei Wei , Fu Fangfang , Meng Nan , Zhang Xianchang , Lin Yusong , Wang Meiyun
Published: August 2024

This study investigated the utility of 3D high resolution magnetic resonance fingerprinting (MRF) to detect potential brain changes in Parkinson’s disease (PD). MRF T1 and T2 maps of the brains of 22 PD patients and 22 volunteers were non-linearly normalized into the MNI space to explore the group differences using whole-brain analysis. PD patients had significantly higher T1 and T2 values in the right inferior temporal gyrus anterior/posterior division, right temporal fusiform cortex anterior division, right planum polare and red nucleus. Our findings suggest that quantitative parameters acquired from 3D MRF may provide additional information for precise diagnosis of PD.
Role of MULTIPLEX MRI Study in Evaluating Brain Tumors
Authors: Gao Min , Liu Jun , Zheng Liyun , Dai Yongming
Published: August 2024

Multi-parametric MR imaging methods have been intensively developed and investigated throughout the last decade. The purpose of this study was to utilize the single-scan 3D multi-parametric MRI technique, MULTIPLEX, to characterize and grade intracranial tumors. According to the results, MULTIPLEX MRI can effectively decrease the scan time while obtaining multi-parametric images and mappings. Besides, the simultaneous quantitative estimation of multiple MR parameters can reliably characterize and grade intracranial tumors.
Repeatability and reproducibility of MRF-based Myelin Water Fraction maps of healthy human brains
Authors: Lancione Marta , Cencini Matteo , Buonincontri Guido , Kurzawski Jan , Kaggie Joshua , Matys Tomasz , Gallagher Ferdia , Donatelli Graziella , Cecchi Paolo , Cosottini Mirco , Martini Nicola , Frijia Francesca , Montanaro Domenico , Gómez Pedro , Schulte Rolf , Retico Alessandra , Biagi Laura , Tosetti Michela
Published: August 2024

Myelin Water Fraction (MWF) can measure White Matter (WM) myelination and integrity and can be quantified using Magnetic Resonance Fingerprinting (MRF) which allows short scan time. In this work, we assessed the repeatability and the reproducibility of MWF using 3D SSFP MRF in a traveling head study performed on healthy volunteers scanned at five different scanners from the same vendor. We computed coefficients-of-variation to estimate voxelwise variability in WM and GLM analysis to measure biases. We reported a variability of ∼3% for repeated scans at the same site and ∼5% for different sites, with an average bias of 5%.
Highly efficient T1, T2 and Diffusion-prepared radial Magnetic Resonance Fingerprinting
Authors: Velasco Carlos , Castillo-Passi Carlos , Chaher Nadia , Phinikaridou Alkystis , Botnar René , Prieto Claudia
Published: August 2024

In this study we present a golden-angle-radial efficient magnetic resonance fingerprinting approach that enables simultaneous T1, T2 and ADC quantification in a single scan of ~18s and offers the possibility to be extended to a multi-echo acquisition for additional water-fat separation estimation. A quantitative comparison between reference maps and the proposed MRF maps has shown excellent agreement, and a proof-of-concept brain MRF multiparametric T1, T2 and ADC has shown comparable image quality compared to the longer and sequential clinical reference scans.
Synthetic MRI in differentiating benign from metastatic retropharyngeal lymph nodes: combination with diffusion-weighted imaging
Authors: Wang Peng , Hu Shudong , Dou Weiqiang , Shi Jie , Zhang Heng
Published: August 2024

This study aimed to evaluate MAGiC imaging (one synthetic MRI technique, syMRI) and its combination with diffusion-weighted imaging (DWI) in discriminating benign from metastatic retropharyngeal lymph nodes (RLNs). With MAGiC derived relaxation parameters, 58 patients with 21 benign and 42 metastatic RLNs were measured. The resultant T1, T2, PD and T1SD values showed significant different values between benign and metastatic RLNs with an optimal diagnostic performance from T1SD. Moreover, the combination of MAGiC, DWI, and morphological features demonstrated a significantly improved performance on overall diagnosis.
Optimized Phase Cycling for Coherence Pathway Selection in Pi Echo Planar Imaging
Authors: Armstrong Mark , Xiao Dan
Published: August 2024

Pi Echo Planar Imaging (PEPI) has a significantly reduced gradient duty cycle compared to FSE. It has a great potential for low field MRI where concomitant fields are significant. However, its application is limited due to the requirement of a near perfect refocusing pulse to avoid coherence pathway artifacts. In this work an optimized phase cycling scheme is proposed which minimizes coherence pathway contributions to the signal. This method has been validated in simulations and experiments showing a reduced sensitivity to flip angle compared to the conventional XY-16 method. Artifact-free 2D PEPI was achieved.
Quadratic phase-modulated xSPEN (QxSPEN): A new route to high resolution single-shot imaging
Authors: Dai Ke , Zhang Zhiyong , Frydman Lucio
Published: August 2024

Single-shot cross-term SPatiotemporal ENcoding (xSPEN) is a single-shot approach to MRI with exceptional resilience to field inhomogeneities. xSPEN’s non-Fourier nature and sinc-like point-spread function demands SNR/resolution compromises which, so far, no post-processing has managed to solve. This study shows that introducing a quadratic phase modulation in conjunction with the hyperbolic phase modulation demanded by xSPEN can solve this, enabling the use of deconvolution principles providing resolution enhancement. The principles and examples of the ensuing quadratic xSPEN (QxSPEN) experiment, are presented on synthetic, phantom and human brain single-shot data.
CMRSeq - A Python package for intuitive sequence design
Authors: Weine Jonathan , McGrath Charles , Kozerke Sebastian
Published: August 2024

We present CMRseq, a new python package for MR sequence definitions. The package builds upon successful concepts of previous frameworks, while leveraging Python functionality to increase usability and maintainability. CMRseq features physical unit checks, adheres to coding style conventions and includes unit-test coverage and continuous integration infrastructure for documentation. Import and export functionality to facilitate compatibility with popular formats is also included. The API reference as well as information on installation and how to get started is publicly available at: https://people.ee.ethz.ch/~jweine/cmrseq/latest/index.html Keywords: Open source, reproducible science, sequence design, software tools, visualization
PyGRASP: A standalone python image reconstruction library for DCE-MRI acquired with radial sampling
Authors: Ariyurek Cemre , Koçanaoğulları Aziz , Sari Can , Vasylechko Serge , Afacan Onur , Kurugol Sila
Published: August 2024

Dynamic contrast enhanced MRI (DCE-MRI) is capable of quantitative assessment of renal function and evaluation of the detailed anatomy of the urinary tract and renal arteries in patients. To reconstruct the dynamic volumes in DCE-MRI, Golden-angle RAdial Sparse Parallel (GRASP) reconstruction algorithm is commonly used. In this software, we have developed an efficient open-source, purely Python-based, standalone GRASP reconstruction library called pyGRASP that allows researchers to access the source code for development, facilitating flexible deployment with readable code and no compilation, and easy utilization without requirement of a steep learning curve.
Implementation of a convolutional neural network for brainstem landmark detection and co-registration
Authors: Woodward Owen , Driver Ian , Germuska Michael , Wise Richard
Published: August 2024

Accurate brainstem co-registration is important when analysing brainstem functional MRI data. We trained a convolutional neural network (CNN) to detect a set of brainstem landmarks and to define a brainstem region-of-interest and used these to co-register the brainstem between functional and anatomical space using previously developed landmark-based and automated brainstem co-registration (LBC and ABC) methods. The use of CNNs to supply these features to LBC and ABC produced results that compared well to conventional methods. Similar CNNs could be applied to other brain regions and such methods may be useful to automate the analysis of large functional datasets.
DECOMPOSE-QSM improves the tracking of iron-related neurodegenerative pathology
Authors: Ahmed Maruf , Chen Jingjia , Cobigo Yann , Baker Suzanne , Liu Chunlei
Published: August 2024

DECOMPOSE-QSM method is used to extract a sub-voxel level paramagnetic component susceptibility (PCS) in Alzheimer’s disease (AD) related neurodegeneration. Correlation between both PCS and thresholded QSM values with tau PET SUVr are studied. PCS shows stronger association strength with tau PET measures compared to susceptibility measured using only the thresholded positive voxels (positive QSM) in the QSM map in known regions related to tau pathological progression. By separating sub-voxel paramagnetic and diamagnetic sources, DECOMPOSE-QSM provides a more specific and sensitive measure of iron-related pathology.
Automatic Quantification of Total Cerebral Blood Flow from Phase-Contrast MRI Using Deep Learning
Authors: Kim Jinwon , Lee Hyebin , Jang Jinhee , Lee Hyunyeol
Published: August 2024

In this work, we aim to develop a deep learning (DL)-based processing pipeline that enables rapid and correct segmentation of brain-feeding arteries in neck phase-contrast (PC) MR images, thereby achieving accurate quantification of total cerebral blood flow (tCBF) in an automated manner. To this end, we implemented a U-Net architecture where magnitude/phase-combined PC images are provided for network training. The results suggest that the present, automated method yields accurate measurements of tCBF in comparison to ground truth values obtained from manual vessel segmentation.
Preoperative gadoxetic acid-enhanced MRI combined with MVI can effectively predicte early recurrence in hepatocellular carcinoma
Authors: Zhang Jiyun , Zhang Tao , Zhang Xueqin , Zhao Xiance
Published: August 2024

Synopsis: The purpose of this study is to determine whether preoperative gadoxetic acid-enhanced MRI combined with microvascular invasion can effectively improve the predictive efficacy of early recurrence in HCC. We retrospectively reviewed patients with HBV who underwent curative resection for HCC, analysed preoperative factors to develop a preoperative model, and analysed both preoperative factors and microvascular invasion to develop a pre-/postoperative prediction model. Our study showed that the preoperative and pre-/postoperative prediction models demonstrate good performance for predicting early recurrence, the AUC of the two prediction model better than only the MVI risk factor.
Quantitative assessment of the adipose tissue around the knee joint in patients with KOA using IDEAL-IQ and T2 mapping sequences with 3.0 T MRI
Authors: Qiu Lin , Qian Long , Cai Xiang-Ran
Published: August 2024

IDEAL-IQ and T2 mapping sequences are capable of objectively assessing fat and water content in the adipose tissue around the knee joint. The severity of KOA is related to the fat and water content of knee adipose tissue.
Scan-Rescan Repeatability of 10-Minutes Long MAPSS Sequence for Simultaneous MR T2 and T1ρ Mapping of Cartilage and Meniscus at 7 Tesla
Authors: Zbyn Stefan , Lartey Richard , Kim Jeehun , Winalski Carl , Li Xiaojuan
Published: August 2024

The aim of this study was to evaluate the in vivo scan-rescan repeatability of T2 and T1ρ quantification in knee cartilage and meniscus of patients with knee pain at 7 Tesla. Four subjects were scanned-rescanned on the same day using the 10-minutes-long MAPSS sequence for simultaneous T2 and T1ρ mapping. Coefficients of variation and Bland-Altman plots showed excellent scan-rescan repeatability of in vivo T2 and T1ρ quantification in cartilage and meniscus at 7 Tesla. Our results indicate that fast T2 and T1ρ mapping with four echo and four spin-lock times remains sensitive to cartilage degeneration.
Quantitative phase contrast MRI of penetrating arterioles in cerebral white matter in patients with diabetes at 7T
Authors: Zong Xiaopeng , Jimenez Jordan , Li Tengfei , Powers William
Published: August 2024

Brain lesions caused by cerebral small vessel disease (SVD) are commonly observed in the elderly. However, it remains challenging to noninvasively measure the early pathological changes of the underlying vessels. To this end, we evaluated the feasibility of detecting changes in white matter penetrating arterioles (PA) with 7T MRI in patients with diabetes, a known risk factor for SVD, but without severe SVD and in age and gender matched healthy controls (HC). We observed lower flow velocities in PAs in the patients, suggesting that early changes in PA that are discriminative of overt SVD risks can be detected at 7T.
Optimisation of 1H MRS quantitation with tissue water referencing in the presence of brain tumour heterogeneity
Authors: Howe Franklyn , Jones Timothy , Rich Philip , Raschke Felix , Dehmeshki Jamshid , Barrick Thomas
Published: August 2024

A tissue water signal is frequently used as a reference for metabolite quantitation by 1H MRS. We have determined the variability of T1, T2 and PD in glial brain tumours and normal brain to assess how tumour heterogeneity affects the reference signal at 3T. The typical short echo time MRS parameters TR 2000ms and TE 32ms reside within a “sweet spot” of minimum variation in the product PD*exp(-TE/T2)*[1-exp(-TR/T1)] that determines the water reference signal across a wide range of tissues (NWM, tumour core, necrosis and oedema). This choice also provides good SNR per unit time for the key metabolite singlets.
Optimization of 2D-APT imaging of brain tumor based on saturated RF pulse parameters
Authors: liu na , liu ailian , sun peng , song qingwei , miao yanwei
Published: August 2024

2D APTw imaging is a single-slice imaging method focusing on the selected plane, with low spatial coverage and a much shorter scan time than its 3D counterpart, which makes it an optional scan sequence for patients who cannot tolerate long scan times. However, there is still a lack of an optimal setting for 2D APTw imaging in clinics for human brain tumors. Therefore, this study aims to explore the different combinations of pulse power and duration of saturation RF pulse in 2D APTw imaging on brain tumors and to find an optimal setting suitable for clinical use.
Hyperpolarized 129Xe Magnetic Resonance Imaging in Patients with Brain Tumors
Authors: Cheng Kun , Li Chenxi , Duan Caohui , Bian Xiangbing , Li Haidong , Zhou Xin , Lou Xin
Published: August 2024

This study explored the application of hyperpolarized 129Xe (HP 129Xe) MR imaging in patients with brain tumors. HP129Xe MR and 1H MR imaging was performed on three subjects. The results showed that HP 129Xe MRI has the ability to detect brain tumors, but the HP 129Xe brain MR imaging showed the lesion range was mismatched with T2 weighted image (T2WI) and arterial spin labeling (ASL)image, these are needed to be addressed in the future.
Using 3D APTw and ASL imaging to differentiate solitary brain metastases from glioblastomas
Authors: Chen Ling , Li Tao , Zeng Zisan , Li Yao , Deng Kan , Li Shuanghong , Zhang Jinhuan , Tang Lifang
Published: August 2024

This study is to determine whether APTw and ASL imaging are useful for distinguishing GBMs and SBMs. The differences in APT and CBF values between GBMs and SBMs were compared. The result showed that 3D APTw is an important MRI technique for distinguishing SBMs and GBMs. Particularly, APTw combined with ASL demonstrated a more satisfactory discrimination and a higher diagnostic performance.
Convolutional neural network to predict IDH mutation status in glioma from 7T chemical exchange saturation transfer imaging
Authors: Yuan Yifan , Yu Yang , Chang Jun , Chu Ying-Hua , Hsu Yi-Cheng , Liu Mianxin , Yue Qi
Published: August 2024

Noninvasive prediction of isocitrate dehydrogenase (IDH) mutation status in glioma guides surgical strategies and individualized management. We explored the capability of preoperatively identifying IDH status by combining a 2D convolutional neural network (CNN) and amide proton transfer chemical exchange saturation transfer (APT-CEST) imaging. Five-fold cross-validation suggested the APT-CEST with the tumor shape information predicts IDH status optimally. The novel CNN model designed for 7T APT-CEST offers improved discriminatory accuracy in predicting the IDH status of glioma, holding great potential for facilitating decision-making in clinical practice.
Vascular territorial analysis of cerebral blood flow in pediatric Moyamoya to exclude arterial transit time bias
Authors: Heule Rahel , Kottke Raimund , Tuura Ruth
Published: August 2024

Delayed perfusion in patients with Moyamoya vasculopathy can lead to a bias in CBF quantification, especially for single-delay ASL acquisitions. In this work, we investigate the clinical utility of arterial transit time corrected CBF derived from a 7-delay prototype ASL sequence for assessment of hemodynamically mediated perfusion failure in pediatric Moyamoya patients. The multi-delay ASL acquisition proved successful in capturing the whole distribution of transit times in the investigated patient cohort and may thus be a valid contrast agent-free alternative to DSC-enhanced perfusion imaging.
Multimodal quantitative MRI for the assessment of different disease processes in a childhood hypomyelinating leukodystrophy
Authors: Sahoo Prativa , Köhler Caroline , Gkalimani Irini , Kunte Paul , Dechent Peter , Helms Gunter , Deoni Sean , Kitzler Hagen , Kulaczewski Steffi
Published: August 2024

X-linked Pelizaeus Merzbacher disease is characterized by failure of myelin formation and subsequent axonal damage. Severity of disease courses varies depending on the underlying gene mutation. Eight male patients were recruited for the study. MR-imaging protocol included MTI, MWI for evaluation of myelin related parameters and DTI for assessment of axonal integrity. Decreased values in quantitative MTI and MWI parameter maps and ROI analyses indicated severe myelin deficit in all patients. However, FA reflected various degrees of axonal involvement among patients with deferent genotypes. Multimodal MRI can facilitate assessment of simultaneous disease processes in childhood hypomyelinating leukodystrophies.
The diagnostic performance of time-dependent diffusion technique in differentiating benign and malignant breast tumors
Authors: Ding Jie , Zhang Zhen , Gu Yajia , Wang Yishi , Yue Xiuzheng , Chen Dazhi , Zhu Rongrong , Ha Ruoshui
Published: August 2024

Some novel biomarkers have emerged from the fact that the ADC depends strongly on the diffusion time, such as the rate of ADC change using two diffusion times for the differentiation of breast tumor types and cell size modeling. In this study, we propose to use Multiband (MB) SENSE to accelerate the data acquisition of OGSE and PGSE sequences and compare the diagnostic value of ADC at different diffusion times as well as cell size imaging parameters using IMPULSED model for breast tumor. Our data showed vin and cellularity and the rate of ADC change have superior diagnostic performance.
MultiBand Acquisition for Breast Restriction Spectrum Imaging
Authors: Loubrie Stephane , Rodriguez-Soto Ana , Carl Michael , Batasin Summer , Conlin Christopher , Seibert Tyler , Hahn Michael , Kuperman Joshua , Guidon Arnaud , Dale Anders , Ojeda-Fournier Haydee , Rakow-Penner Rebecca
Published: August 2024

Diffusion-weighted imaging holds great potential in improving specificity in breast cancer MRI, potentially reducing the number of unnecessary biopsies. Additionally, breast cancer screening protocols would benefit from high-resolution DWI acquisitions, especially in the through-plane direction. In this abstract we explore multi-slice excitation as a promising parallel-imaging tool to improve through-plane image resolution.
An ADC-based Radiomics model: differential diagnosis of mucinous breast carcinoma from similar morphological invasive ductal breast carcinoma
Authors: li yuanfei , ning ning , zhang lina , wu qi , zhao siqi , liu ailian , zhang qinhe , chen jianzhou , cui jingjing , xie lizhi
Published: August 2024

Mucinous breast carcinomas (MBCs) always have similar morphological manifestations with invasive ductal breast carcinomas (IDCs) on conventional MRI. MBCs have a better prognosis and early treatment can achieve good results. Radiomics is a novel tool automated data feature extraction algorithms，which has the potential to uncover disease characteristics that are difficult to identify by human vision alone. We develop a radiomics model for explore the preoperative differentiation of combining the intratumoral signal intensity (SI) on T2WI and ADC derived from DWI in MBCs and IDC. The results confirm that the model has potential in the differential diagnosis of MBCs and IDC.
Longitudinal assessment of variability in a multicenter MRI QC program using the CaliberMRI breast phantom: protocol adherence and ADC values
Authors: Wilmes Lisa , Gibbs Jessica , Le Nu , Karaulanov Todor , Newitt David , Keenan Kathryn , Tudorica Alina , Bowden Gwen , Liu Yucheng , Fang Lauren , Bolan Patrick , Malyarenko Dariya , Chenevert Thomas , Van Wie David , Pyle Chelsea , Niell Bethany , Ha Richard , Rakow-Penner Rebecca , Ojeda-Fournier Haydee , Church An , Joe Bonnie , Hylton Nola
Published: August 2024

CaliberMRI’s multiparametric quantitative breast MRI phantom was scanned with a standard protocol, including DWI, at seven clinical sites as part of a quality control program. Protocol adherence was assessed. ADC values for fibroglandular and malignant breast tissue DWI mimics were calculated and corrected for temperature using the qCal software, and summary reports were generated. Inter- and intra-site variations in ADC derived from DWI phantom scans acquired longitudinally over the last 16 months provided information that can be used to troubleshoot imaging acquisition issues with sites and vendors as part of a phantom-based QC program.
Reproducibility of Pseudocontinuous Arterial Spin Labeling Measured Perfusion in Healthy Volunteers and Glioblastoma Patients
Authors: Zhou Limin , Wang Yiming , Pinho Marco , Udayakumar Durga , Youssef Michael , Maldjian Joseph , Madhuranthakam Ananth
Published: August 2024

We evaluated the intra-session repeatability and inter-session reproducibility of brain and tumor perfusion measured using 3D pseudo-continuous Arterial spin labeled (PCASL) MRI with TSE based Cartesian acquisition with spiral profile reordering (CASPR) in comparison to 3D pCASL with GRASE in healthy volunteers and glioblastoma (GBM) patients at 3T. 3D pCASL with TSE-CASPR or GRASE provided high intra-session repeatability and 3 weeks inter-session reproducibility in both volunteers and GBM patients. While both readouts generated robust images, TSE-CASPR provided images with reduced distortion particularly in GBM patients and could be a better readout for pCASL measured perfusion in GBM patients.
Feasibility of high-resolution multi-shot DW-EPI for DTI of peripheral nerves in the knee
Authors: Yoon Daehyun , Hargreaves Brian , Lutz Amelie
Published: August 2024

DTI of peripheral nerves for detecting nerve damage has been very challenging due to limited resolution and imaging artifacts of the conventional single-shot diffusion-weighted echoplanar imaging (SS-DW-EPI). Here, we have evaluated the feasibility of improved DTI with multi-shot DW-EPI (MUSE) by comparing mean diffusivity (MD) and fractional anisotropy (FA) estimates of tibial and peroneal nerves with those from SS-DW-EPI in ten healthy subjects. MUSE showed lower within-subject coefficient of variation in diffusion estimates, indicating improved repeatability, while correlation analysis showed noticeable differences between FA estimates. Our results show the feasibility of MUSE for in vivo evaluation of peripheral nerves.
Effects of HIV-associated chronic inflammation on intracranial vessels using semi-automatic segmentation of MRA cerebrovascular features
Authors: Hoang Nhat , Wang Henry , Bogachan Sahin , Khan Muhammad , Faiyaz Abrar , Singh Meera , Pang Jinjiang , Wang Shumin , Chen Li , Yuan Chun , Zhong Jianhui , Yang Hongmei , Uddin Md Nasir , Schifitto Giovanni
Published: August 2024

HIV infected individuals (HIV+) are subjected to high risks of neurological complications, including cerebrovascular disease. Quantification of vascular features may provide a tool to investigate pathomechanisms and monitor cerebrovascular disease progression. In this study we used intracranial artery feature extraction (iCafe) to compare HIV+ with age matched controls.
Sensitivity of magnetic resonance elastography to white matter alterations in a rat model of Fetal Alcohol Spectrum Disorders
Authors: Milbocker Katrina , Williams L. , Smith Ian , Caban-Rivera Diego , Kurtz Samuel , McGarry Matthew , Van Houten Elijah , Johnson Curtis , Klintsova Anna
Published: August 2024

Magnetic resonance elastography (MRE) produces spatially-resolved maps of brain tissue mechanical properties by estimating parameters, such as stiffness and viscosity, via inverse solution of the underlying equations of motion. When measured in the brain, estimated properties from MRE detect effects of disease or interventions with high fidelity and relate to functional outcomes, making it a potentially invaluable technique in neuroradiology. Application of MRE in white matter (WM) tracts is limited. To evaluate the sensitivity of MRE to WM alterations, this study compared values of total brain stiffness and damping ratio derived from MRE scanning of rats with impaired WM development.
Alterations in white matter integrity of the pain modulatory system in patients with fibromyalgia
Authors: Huang Yu-Ting , Lin Ting-Chun , Liang Yao-Wen , Chen You-Yin , Kang Jiunn-Horng , Lo Yu-Chun
Published: August 2024

The relationship between abnormal pain sensation and alterations in the central nervous system of fibromyalgia patients is unknown. In this study, diffusion tensor imaging was used to systematically investigate the alterations in white matter tracts of the pain modulatory pathways. The findings revealed the altered integrity of spinothalamic tract-thalamus, thalamus-insula tracts, tracts connected thalamus, midbrain and pons, were associated with the physical and psychological dysfunction in patients with fibromyalgia.
THE RELATIONSHIP BETWEEN VASCULAR REACTIVITY AND MICROSTRUCTURAL WHITE MATTER INTEGRITY IN DUTCH-TYPE CEREBRAL AMYLOID ANGIOPATHY
Authors: Schipper Manon , Vlegels Naomi , Voigt Sabine , van Harten Thijs , de Luca Alberto , Rasing Ingeborg , Biessels Geert Jan , van Osch Matthias , van Walderveen Marianne , Wermer Marieke
Published: August 2024

Vascular reactivity is an early marker of Cerebral Amyloid Angiopathy (CAA), but its relation to structural brain damage remains unclear. We aimed to study this relationship in Dutch-type CAA (D-CAA; genetic form of CAA): vascular reactivity and microstructural white matter integrity were studied through visually stimulated fMRI and ‘Peak width Skeletonized Mean Diffusivity (PSMD)’. Reduced BOLD amplitude, delayed time to peak, and delayed time to baseline were significantly related to a higher PSMD (β=-1.15e-02, β =1.08e-05, β=8.64e-06, respectively). These results indicate that vascular reactivity and microstructural white matter integrity may deteriorate hand-in-hand in D-CAA.
Improved DCE-MRI analyses of blood-brain barrier integrity in subjective memory and mild cognitive impairment: New results from the CANN trial
Authors: Sobhan Rashed , Willis David , Gillings Rachel , Thrippleton Michael , Wardlaw Joanna , Minihane Anne-Marie , Berry Narelle , Cameron Donnie
Published: August 2024

We implemented recent developments in DCE-MRI pre-processing and analysis techniques to compare local differences in blood brain barrier (BBB) integrity in subjective memory impairment (SMI) and mild cognitive impairment (MCI), two early indicators of Alzheimer’s disease. Also, as part of the CANN trial, we explored the impact of a combined flavanol and omega-3 fatty acid-based nutritional intervention on BBB leakage. The results show that BBB leakage in memory processing regions can distinguish between SMI and MCI, and thus can be used to quantitatively assess the progress of cSVD towards onset of MCI and/or early indication of Alzheimer’s disease.
Graph theory-based analysis of brain diffusion data reveals network alterations in World Trade Center first responders with chronic PTSD
Authors: Suite Daniel , Hagan Thomas , Huang Chuan , Kritikos Minos , Clouston Sean , Horton Megan , Kotov Roman , Lucchini Roberto , Bromet Evelyn , Luft Benjamin
Published: August 2024

Many World Trade Center (WTC) responders continue to suffer from chronic Post-Traumatic Stress Disorder (PTSD). Multimodal imaging techniques have shown potential as putative markers for PTSD but still lie in the developmental stages. Network connectivity techniques are showing promise for investigating neuropathology influencing PTSD symptom maintenance and course. This work utilizes a graph theory approach with brain diffusion images to probe the network alterations in WTC responders with PTSD. We identified a significant difference in Characteristic Path Length (CPL) between responders with and without chronic PTSD.