bluuebunny/crossref_metadata_2025 huggingface dataset:
Reverse Encoding Distortion Correction for DWI: Improving Image Quality and Differention Capability of Malignant from Benign Prostatic Areas
Authors: Ueda Takahiro , Ohno Yoshiharu , Shinohara Maiko , Yamamoto Kaori , Ikedo Masato , Yui Masao , Iwase Akiyoshi , Furuta Minami , Obama Yuki , Nagata Hiroyuki , Ikeda Hirotaka , Ozawa Yoshiyuki , Toyama Hiroshi
Published: August 2024

We hypothesize that RDC is useful for image quality and diagnostic performance improvements on DWI with b value at 1500 s/mm2 in suspected prostatic cancer patients, although there was little influence of RDC on DWI at in vitro study. The purpose of this study was to determine the influence of RDC for ADC measurement at in vitro study and its’ utility for improving image quality and diagnostic performance of malignant from benign prostatic areas on prostatic DWI as in vivo study.
Magnetic Resonance Imaging-based Radiomics for Clinically Significant Prostate Cancer in PSA Gray Zone to Reduce Unnecessary Biopsies
Authors: Qiao Xiaomeng , Hu Chenhan , Bao Jie , Wang Ximing , Song Yang , Wu Yunzhu
Published: August 2024

Radiomics was a promising method for csPCa with PSA levels in the gray zone and outperformed PI-RADS assessments.
GAMER-MRI and modified Layer-wise Relevance Propagation identify on quantitative MRI regions sensitive to clinical disability in MS patients
Authors: Lu Po-Jui , Odry Benjamin , Barakovic Muhamed , Weigel Matthias , Sandkühler Robin , Rahmanzadeh Reza , Chen Xinjie , Ocampo-Pineda Mario , Kuhle Jens , Kappos Ludwig , Cattin Philippe , Granziera Cristina
Published: August 2024

The decision process of artificial intelligence is elusive. We proposed a new method that by combining an attention-based convolutional neural network (GAMER-MRI) with the modified Layer-wise Relevance Propagation could reveal relevant regions on quantitative imaging maps in differentiating multiple sclerosis patients with mild-moderate and severe disabilities. The assessment of the relevant regions included the impact of inverting values within the regions and the heatmap on the MNI152 template. Our results show good network performance and identify brain regions relevant to the corticospinal tract. The proposed method might be useful to further explore patterns of brain microstructural alterations associated with disability.
Application of Pulmonary Perfusion Analysis in Phenotyping COVID-19 Cardiopulmonary Disease with Magnetic Resonance Imaging
Authors: Lancaster Andrew , Kato Yoko , Liu Chia-Ying , Kassai Yoshimori , Sesso Jaclyn , Lima Joao A. C. , Ambale-Venkatesh Bharath
Published: August 2024

Pulmonary perfusion analysis of cardiac magnetic resonance imaging in patients with previous COVID-19 may help phenotype patients with advanced cardiopulmonary disease. Lung perfusion analysis was performed and results were correlated with clinical data in patients who were treated for COVID-19 at Johns Hopkins institutions. Older age and hospitalization for COVID-19 were found to be related to worse pulmonary perfusion, as measured by the perfusion parameter 50% max intensity, suggesting that one long-term sequela of severe COVID-19 that requires hospitalization, particularly in older patients, is a global bilateral decrease in the speed at which the lungs are perfused.
Cardiovascular Magnetic Resonance Imaging Appearance During the Acute, Intermediate and Convalescent Phase of COVID-19 Patient
Authors: Qian Yufan , Chen Weibo , Zhou Yan , Zhao Lei , Wu Lian-Ming
Published: August 2024

The purpose is to find the cardiac involvement features of COVID-19 using cardiac MRI, and set forth the relationship of these cardiac features with their clinical presentation. We analyzed the results under the separate cardiovascular magnetic resonance sequences combining different stages, as well as consider the unique conditions when cardiovascular signs and symptoms are present.
Investigation of the biophysical basis of relaxivity contrast imaging as a biomarker for myofiber microstructural changes in an ALS model
Authors: Semmineh Natenael , Mathew Ethan , Damon Bruce , Quarles C
Published: August 2024

Amyotrophic lateral sclerosis (ALS) is a fatal upper and lower motor neuron degradation disease that leads to progressive myofiber abnormalities (e.g., decreased size and distribution). The relaxivity contrast imaging (RCI) parameter, TRATE (tissue transverse relaxivity at tracer equilibrium), has been shown to decrease during ALS induced myofiber degradation. The goal of this study is to expand a validated computational method to investigate the biophysical basis of TRATE in muscles of ALS patients and to optimize RCI acquisition parameters.
Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition
Authors: Chen Yufan , Gong Tao , Sun Cong , Gao Fei , Chen Tong , Chen Weibo , Wang Guangbin
Published: August 2024

The study investigated age-related neuromelanin signal variation and iron content changes in the subregions of substantia nigra simultaneously by magnetization transfer contrast neuromelanin-sensitive multi-echo fast field echo sequence in a normal population. We manually delineated neuromelanin, iron deposition regions and the overlap regions. The correlation analysis revealed contrast ratio increased over age, while volume showed an age-related decline in the overlap region which were similar to those in the neuromelanin region. No significant correlations were found between susceptibility and age in any subregion. This study may provide more insight for the future degenerative elucidations of substantia nigra.
Evaluation of Brain Iron Deposition in Different Cerebral Artery of Acute Ischemic Stroke by using Quantitative Susceptibility Mapping
Authors: Yang Jie , Zhong Jianquan , Lv Minli , Li Yan , Han Limei , Feng Hao , He Chaoliang , Zheng Chunyan , Wang Zhejun , Wu Yunzhu
Published: August 2024

In this study, QSM was used to investigate susceptibility differences among infarct region, non- infarct regions of responsible artery and non-responsible artery in acute ischemic stroke (AIS) patients. The results showed that only susceptibility of the infarct region was significantly higher than that of healthy controls. In AIS patients, the susceptibility of infarct region were significantly higher than those of normal cerebral artery regions and non-infarction regions of responsible artery. These results suggest that abnormal iron deposition exists in the infarct region and may not affect other non-infarct regions.
Prognostic value of the baseline magnetic resonance score with acute posterior circulation ischemic stroke after mechanical thrombectomy
Authors: shan huang
Published: August 2024

To investigate the predictive value of baseline DWI-pcASPECTS combined with MRA-collateral circulation score in patients with acute posterior circulation ischemic stroke after mechanical thrombectomy. DWI-pcASPECTS score and MRA-collateral circulation score before treatment were retrospectively analyzed in patients with acute posterior circulation ischemic stroke after mechanical thrombolectomy. Multivariate Logistic regression was used to analyze the independent predictors of functional outcomes 90 days after mechanical thrombectomy. MR-pcASCO score can be used as an important means to predict the prognostic function of patients with acute posterior circulation ischemic stroke after mechanical thrombectomy.
Association between diffusion-weighted image analysis along the perivascular space index and early-onset post‑stroke cognitive impairment
Authors: Li Hongwei , Chu Min , Liu Lianlian , Wang He , Zhao Jing
Published: August 2024

The mechanism of cognitive impairment following stroke is uncertain. It has been demonstrated that the glymphatic system has an impact on cognitive function, which can be measured by the diffusion weighted image analysis along the perivascular space (DWI-ALPS) index. The purpose of this study was to see whether the DWI-ALPS index was associated with early-onset post-stroke cognitive impairment. Our data revealed that DWI-ALPS index in PSCI group was significantly lower than in non-PSCI group, and it had a good predictive value for PSCI.
MRI histogram analysis of tumor-infiltrating CD8+ T cell levels in patients with glioblastoma
Authors: Xue Caiqiang , Zhou Qing , Zhou Junlin
Published: August 2024

CD8+ T cell infiltration in tumors is a powerful predictor of the clinical and postoperative prognosis of GBM patients. Immunohistochemical staining was used to assess tumor-infiltrating CD8+ T cell expression in patient-derived tumor tissue samples. Histogram analysis of GBM was performed using Firevoxel software. Among the T1C histogram features, the CV, mean, 5th, 10th, 25th, and 50th percentiles were correlated with the levels of CD8+ T cells. The ROC curve analysis revealed that the CV had the highest AUC value (0.783). Histogram analysis is an efficient non-invasive imaging modality for the prediction of tumor-infiltrating CD8+ T cells in glioblastoma.
MRI-Based Radiomics Approach with Deep Learning for Distinguishing IDH-Mutant from IDH Wild-type Grade-4 Astrocytomas
Authors: Hosseini Seyyed Ali , Hosseini Elahe , Shiri Isaac , Hajianfar Ghasem , Servaes Stijn , Rosa-Neto Pedro , Godoy Laiz , Bagley Stephen , Nasrallah MacLean , O’Rourke Donald , Mohan Suyash , CHAWLA SANJEEV
Published: August 2024

Patients (n=57) with isocitrate dehydrogenase (IDH) mutant grade-4 astrocytomas and IDH wild-type glioblastomas underwent anatomical imaging (post-contrast T1 and T2-FLAIR) on 3T magnet. Neoplasms were segmented into 5 ROIs and 105 radiomics features were extracted from each ROI. Features were subsequently selected using various algorithms. Patients were divided into two groups (50%-training and 50%-testing). A GAN-based deep learning algorithm was used to generate 1000 synthesized data-sets and four distinct deep-learning modules were implemented. The best model for differentiating two genotypes of neoplasms was obtained from core tumor regions by using K-best feature selection and Ensembled algorithm with high diagnostic performance.
The Association of Peritumoral Vasculature Radiomics of Lung Cancer Brain Metastasis with Patient Outcome after Radiosurgery
Authors: Liao Chien-Yi , Lee Cheng-Chia , Yang Huai-Che , Chung Wen-Yuh , Wu Hsiu-Mei , Guo Wan-Yuo , Liu Ren-Shyan , Lu Chia-Feng
Published: August 2024

Gamma Knife radiosurgery (GKRS) is a first-line treatment for brain metastases (BMs) from non-small cell lung cancer (NSCLC). The convolutedness, leakiness and disorganized structure of the peritumoral vasculature have been suggested to be related to the treatment resistance of the tumor. In this study, radiomic features that measure the morphology and spatial organization of peritumoral vasculature were extracted from pre-GKRS MRI. These features were applied to predict overall survival after GKRS in NSCLC-BM patients. We suggested that peritumoral vasculature radiomics could facilitate patient management by identifying potential benefits of GKRS.
The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion
Authors: Jiang Jun , Yu Juan , Liu Xiajing , Deng Kan , Lin Fan , Luo Liangping
Published: August 2024

The purpose of this study is to explore the efficacy of clinical and MRI-specific features for tumor grading and the brain invasion assessment in patient with meningioma. Our results showed that the tumor-brain interface is considered as a key factor, preoperative MRI has excellent performance in diagnosing meningioma WHO grade and brain invasion.
Joint relaxometry-diffusion imaging and spectra of the fetal lungs.
Authors: Avena-Zampieri Carla , Slator Paddy , Uus Alena , Rutherford Mary , Greenough Anne , Hutter Jana , Story Lisa
Published: August 2024

We scanned the fetal lungs of healthy controls and fetuses that subsequently delivered preterm, to characterise typical and atypical lung development in-utero, with a combined T2*-diffusion protocol. We analysed our data with a joint T2*-ADC model, yielding voxelwise maps of T2* and ADC, plus calculated whole-lung T2*-ADC spectra. A reduction in both T2* and ADC values was demonstrated in the preterm cohort, potentially reflecting alterations in pulmonary development commencing in-utero. Our study demonstrates that voxelwise T2* and ADC maps, and whole-lung T2*-ADC spectra have the potential to provide additional information on fetal lung microstructure and improve detection of atypical development.
A combined model-based and ML-based approach performs better than model-based or ML-based applied individually
Authors: Iyer Srikant Kamesh , Haji-Valizadeh Hassan , Sharma Samir
Published: August 2024

A motion correction framework was developed to suppress artifacts from rigid and non-rigid motion using a combination of model-based and ML-based approaches. The performance of this framework was compared with model-based only and ML-based only motion correction approaches on motion-simulated data and motion-corrupted in-vivo data using visual inspection and image quality metrics. The combined approach showed superior image quality than model-based and ML-based approaches applied individually.
Iterative Motion-Compensated Reconstruction with Convolutional Neural Network (iMoCo-Net) for Ultrashort Echo Time (UTE) Proton Lung MRI
Authors: Tan Fei , Wang Ke , Lustig Michael , Larson Peder
Published: August 2024

This abstract explores the feasibility of machine learning-based motion-compensated reconstruction for free-breathing UTE lung MRI. Specifically, we used respiratory motion-resolved Non-uniform Fourier Transform (NuFFT) reconstruction as input, iterative motion-compensated (iMoCo) reconstruction as target, and a 2D U-Net convolutional neural network. Test results demonstrate a sharper diaphragm and a higher apparent SNR compared to the averaged input. In conclusion, iMoCo-Net accelerates the reconstruction of 3D radial UTE data substantially, shortening the required time from hours to minutes.
Artifacts Map-guided Nonlocal Mean denoising for abdominal 4D-MR images acquired by 3D view-sharing sequence
Authors: Wong Yat Lam , Chang Hing Chiu Charles , Liu Weiwei , Wang Weihu , Zhang Yibao , Wu Hao , LEE Victor Ho Fun , Cheung Lai Yin Andy , Li Tian , Cai Jing
Published: August 2024

3D view-sharing sequences have been demonstrated its great promise for abdominal 4D-MRI due to its high temporal resolution and availability in clinical scanners. However, the sub-optimal sampling methods in these sequences under free-breathing condition deteriorates the image quality by ghost artifacts. Here, we propose a novel technique, Artifacts Map-guided Nonlocal Mean (AM-NLM), to suppress motion artifacts and to increase image quality of the 4D-MR images of liver cancer patients acquired by a 3D view-sharing sequence, TRICKS, on a 1.5T scanner.
Motion robust multi-shot EPI of the abdomen using VFA-FLEET
Authors: Utkur Mustafa , Wallace Tess , Kurugol Sila , Afacan Onur
Published: August 2024

Multi-shot EPI can be a promising technique to improve the resolution limits of the single shot EPI. However, its application has been so far limited in the abdominal MRI, as phase errors between shots due to unavoidable breathing motion creates artifacts in the images. Here, we tested a Variable-Flip-Angle Fast Low-angle Excitation Echo planar Technique (VFA-FLEET) pulse sequence and showed that it can be used to create high-resolution motion-robust images with high geometric fidelity without breath holding.
Swin golden angle: a radial profile order for golden ratio sampling with navigator compatibility and eddy-current suppression
Authors: Li Zhongsen , Sun Aiqi , Wang Shuai , Liu Chuyu , Wu Sirui , Sun Haozhong , Guo Rui , Ding Haiyan , Li Rui
Published: August 2024

Golden angle radial trajectory suffers from eddy-current when combined with trueFISP sequence. If additional navigators are required, how to keep golden ratio sampling while maintain stable steady-state is still a problem to be solved. In this work, we propose a novel radial profile order, named "swin golden angle"(swinGA), which is able to achieve golden ratio sampling, stable trueFISP signal, and navigator acquisition simultaneously. We validated the proposed profile in static phantom study and in-vivo study for free-running cardiac imaging. The results show that the proposed swinGA significantly outperforms other sampling profiles and achieves good image quality.
Suppressing MRI Background Noise via Modeling Phase Variations
Authors: Chang Yuchou , Saju Gulfam , Yu Jasina , Abiri Reza , Li Zhiqiang , Liu Tianming
Published: August 2024

The background phase variations exist in coil sensitivities. Optimized phase distribution can minimize the noise of the parallel MRI reconstruction. However, phase variation may be originated from different factors, and it is difficult to be modeled. A random feature method is proposed to model phase variations in coil sensitivities. Through a linear reconstruction using the random phase feature, background noise can be suppressed. Augmented phase features make the linear reconstruction better remove background noise.
Whole Upper Abdominal T1 Mapping on Free-Breathing 3D Look-Looker Sequence using Radial Sampling Acquisition: A Phantom and Volunteer Study
Authors: Noda Tomohiro , Sofue Keitaro , Shimada Ryuji , Ueda Yu , Ueno Yoshiko , Somiya Yuichiro , Horii Shintaro , Kusaka Akiko , Murakami Takamichi
Published: August 2024

We developed a free-breathing 3D Look-Locker sequence with radial sampling acquisition (3D-Radial LL) to acquire T1 map of the whole upper abdomen. To evaluate the quantitative accuracy, T1 values obtained from 3D-Radial LL and modified Look-Locker inversion recovery (MOLLI) in a phantom and volunteers were compared. The phantom study showed excellent correlation regarding T1 values between on the MOLLI and 3D-Radial LL. In the volunteer study, the difference in T1 values were within 6% for the liver, pancreas, spleen, and paraspinal muscle. The 3D-Radial LL enables accurate measurement of T1 values in the upper abdomen.
The Effects of Menstrual Cycle on Hepatic Glycogen Stores Before and After Exercise: Preliminary Data From a 13C MRS Study
Authors: Bawden Stephen , Dexter Louise , Matsuda Tomoka , Kaviani Mehri , Gowland Penny , Aithal Guruprasad
Published: August 2024

The aim of this study was to investigate the effects of hormonal changes throughout the menstrual cycle on moderate exercise induced liver glycogen changes in healthy women. Preliminary results show variation in hepatic glycogen stores and changes following exercise throughout the menstrual cycle.
Influence of fat deposition in T1 measurement of the liver: The value of T1 mapping with water component only using the 2D DIXON Look-Locker method
Authors: Higashi Mayumi , Tanabe Masahiro , Yamane Masatoshi , Keerthivasan Mahesh B. , Imai Hiroshi , Yonezawa Teppei , Ito Katsuyoshi
Published: August 2024

The purpose of this study was to elucidate the clinical importance of T1 mapping of the liver with the water component only using the 2D DIXON Look-Locker sequence. T1 values of the liver were compared among T1 maps obtained by IP, OP and DIXON Look-Locker sequences. T1 values of the liver on the T1 maps obtained from IP- and OP-based sequences were significantly influenced by an increased fat component. In contrast, the T1 value of the liver on the T1 maps with the water component only calculated from DIXON water images was unlikely to be influenced by hepatic steatosis.
Feasibility of Prostate MR Fingerprinting and ADC Mapping in the quantitative characterization of malignant transition zone lesions
Authors: Lavrova Anna , Panda Ananya , Wido Sarah , Ponsky Lee , Masotti Maria , Chenevert Thomas , Jiang Yun , Bittencourt Leonardo Kayat , Ramachandran Anupama , Wright Katherine , Seiberlich Nicole , Hussain Hero , Gulani Vikas
Published: August 2024

The purpose of this study is to assess the feasibility of the use of MR Fingerprinting combined with ADC mapping for characterizing prostate transition zone (TZ) cancers. This quantitative approach has shown promising results in differentiating prostate cancer from normal prostate tissue in peripheral and transition zones, and in separating low from intermediate/high grade tumors in the PZ. Our study aimed to confirm previous observations of quantitative differences in T1, T2 and ADC between cancers and normal appearing TZ, and to assess the utility of MRF-derived T1 and T2 mapping in distinguishing low grade lesions from high/intermediate-grade cancers in TZ.
The value of the combination of Intravoxel incoherent motion and TAF11 in predicting positive margins of radical prostatectomy
Authors: Gan Wanting , Meng Shuang , Chen Lihua , Wang Nan , Liu Yunsong , Liu Ailian
Published: August 2024

Positive surgical margins (PSMs) mean incomplete tumor excision which related with prostate cancer-specific mortality and may lead to additional treatments. As a new technique, Intravoxel incoherent motion can simultaneously demonstrate information about diffusion and perfusion. The result of this study indicate the combination of ADC, D, PPC and TAF11 can be used as a potential method in PSMs of radical prostatectomy.
Subclinical vascular damage is associated with cognitive decline in middle-to-old age community subjects with high vascular risks
Authors: Zhang Yao , Xu Shan , Zhang Ruiting , Huang Peiyu
Published: August 2024

Due to the insidious development of vascular degeneration, assessing subclinical vascular changes in people at high risks may aid early detection and intervention. We explored the relationship between the subclinical vascular function changes and vascular risks, vascular imaging markers, and cognition in a middle-to-old age community cohort. We found that larger vascular contractility in the intracranial arteries was related to younger age, less lacune, and better cognition. Participants with diabetes had a longer blood transit time from the ICAs to the capillary. These results suggested that subclinical vascular imaging markers were associated with brain parenchymal damage and cognitive decline.
Brain abnormalities in systemic lupus erythematosus using an advanced multi-parametric MR imaging method of MULTIPLEX: a feasibility study
Authors: Mo Jiaying , Lin Hai , Dai Yongming , Tan Xiangliang , Xu Yikai
Published: August 2024

Quantitative MRI can measure a variety of physiological tissue parameters, such as longitudinal T1 value, transverse T2 value and proton density, iron content and fat content. We applied an advanced multi-parametric MR imaging technique of MULTIPLEX that provides the maps of T1, T2*, proton density and quantitative susceptibility mapping, to investigate the brain abnormalities in systemic lupus erythematosus (SLE). We found that the MULTIPLEX could provide comprehensive and quantitative assessment of SLE-related regions captured in multiple MRI parameters, which might assist in our understanding of the neuropathological mechanism of SLE.
Flow augmentation after occlusion maintains functional connectivity and mean diffusivity
Authors: Warioba Chisondi , Liu Mira , Foxley Sean , Bertini Julian , Christoforidis Gregory , Carroll Timothy
Published: August 2024

Through the use of resting state functional MRI, diffusion tensor imaging (DTI), and a unique canine stroke model, our study explored the functional and structural effects of maintaining perfusion pressure as a means of extending the window of opportunity for thrombectomy. In our preliminary results, the employment of flow augmentation indicated a maintenance of functional connectivity, mean T2* signal intensity, and mean diffusivity in the ischemic region. Through this we have shown a potential method of extending the "door-to-needle time" in stroke treatment and possible therapeutic effects of flow augmentation therapy in acute stroke.
Radiomics and Machine Learning for Prediction of Relapsed and Refractory Primary Central Nervous System Lymphoma
Authors: Liu Yan-Lin , Ko Ching-Chung , Zhang Yang , Yeh Lee-Ren , Chen Jeon-Hor , Su Min-Ying
Published: August 2024

A subset of primary central nervous system lymphoma (PCNSL) may show early relapsed/refractory (R/R) disease after treatments. This study investigated the role of radiomics and machine learning for the prediction of R/R in PCNSL after treatments. Total 46 patients with pathologically confirmed PCNSL were included. Total 321 radiomic features were extracted from various pre-treatment MR sequences in each patient to build prediction models. Among various machine learning algorithms, the best predictive performance with accuracy of 82.6%, precision of 80%, and AUC of 0.85 were obtained in support vector machine.
Synthesize conventional MRI Sequences by Generative Adversarial Networks with only T2 for Use in a Multisequence gliomas classification Model
Authors: Xiong Diaohan , Ren Xinying , Li Yujing , Wang Rui , Ai Kai , Zhang Jing
Published: August 2024

The aim of this study was to test deep learning classification models of glioma subtypes using the generated images. GANs were created based on the two frameworks, pix2pix and cycleGAN. The source domain was T2 and the target domain was T1c, T2-FLAIR or ADC. The results demonstrated that the T2 to T1c pix2pix model has the highest PSNR and SSI. When only the T2-flair or T1c sequence is replaced with the generated image, the classification accuracy is same as the original image. Therefore, depending solely on T2 sequences, GANs networks could generate other sequences for Use in gliomas classification Model.
Histogram model of MRI arteriolar blood volume in detecting subclinical recurrence of high-grade glioma after chemoradiotherapy
Authors: Wu Yuankui , Huang Zhousan , Huang Yingxia , Li Mingxi , Cao Haimei , Huang Guanglong , Zhang Hao , Xu Yikai
Published: August 2024

Early detection of disease progression is of important relevance for the management of high-grade glioma (HGG) patients. Related studies showed that perfusion-weighted MR imaging (PWI) has power to detect early recurrence of glioblastoma. Inflow-based vascular space occupancy (iVASO) is a noninvasive perfusion technology that can provide absolute blood volume of precapillary arterioles (arteriolar blood volume, BVa). In this preliminary study, the potential value of BVa in detecting subclinical recurrence of HGG was investigated. The results showed that the histogram features of BVa might have the potential to detect subclinical recurrence.
Free-water Investigation In Parkinsonian Disorders Using Diffusion-weighted Imaging
Authors: Shah Apurva , Saini Jitender , Ingalhalikar Madhura , Prasasd Shweta , Pal Pramod
Published: August 2024

Parkinson's disease(PD), multiple system atrophy(MSA), and progressive supranuclear palsy(PSP) are neurodegenerative disorders with parkinsonism as a central feature. Although MSA and PSP are atypical parkinsonian disorders, they may be difficult to differentiate from PD particularly in the early stages. Multiple studies have demonstrated that patients with Parkinsonian disorders have higher freewater(FW) in the substantia-nigra-pars-compacta(SNc) and basal ganglia(BG), and FW was shown to reliably distinguish between these patients, making it a potential biomarker. Our investigation into the alterations of FW in PD and atypical parkinsonian disorders, we attempt to evaluate the alterations of freewater in the SNc and basal ganglia structures.
Comparison of Constrained Quantitative BOLD with Dual-Gas Calibrated BOLD for 3D Mapping of Cerebral Oxygen Extraction Fraction
Authors: Lee Hyunyeol , Xu Jing , Fernandez-Seara Maria , Wehrli Felix
Published: August 2024

Recent advances of the cBOLD technique by means of dual-gas calibration have shown its ability in producing baseline OEF and CMRO2 in absolute physiologic units. A recently proposed constrained qBOLD method has shown its feasibility in proper separation of numerous confounders, yielding physiologically plausible values for both Yv and DBV across the entire brain. The purpose of this work was to compare the two oximetric techniques, dual-gas cBOLD versus constrained qBOLD, in terms of measured OEF and CMRO2 at baseline. Results suggest that the two methods yield statistically insignificant differences in OEF and CMRO2 quantifications for GM regions.
Parallel transmit (pTx) kT-points pulses improve 500µm resolution quantitative multi-parameter mapping (MPM) at 7T
Authors: Pine Kerrin , Groß-Weege Nicolas , Edwards Luke , Leutritz Tobias , Freund Patrick , Weiskopf Nikolaus
Published: August 2024

Quantitative multi-parameter mapping (MPM) at 7T can provide detailed information about brain microstructure. However, it is limited by B1+ radio-frequency (RF) transmit field inhomogeneities leading to bias and dropouts. We implemented a kt-points RF pulse approach in 500µm resolution multi-echo spoiled GRE acquisitions and AFI B1+ mapping used for MPM. It was optimized for a homogeneous non-selective excitation with short RF pulse durations, SAR compliance and high usability. In a group of 8 volunteers, bias and shading artifacts were significantly reduced. The approach is integrated in the routine scanning workflow, improving whole brain ultra-high resolution MPM at 7T.
Quantitative assessment of secondary white matter injury in hypothalamic subnuclei by pituitary adenomas utilizing 7-Tesla MRI
Authors: Langan Mackenzie , Marshall Deborah , Delman Bradley , Shrivastava Raj , Balchandani Priti
Published: August 2024

Here we outline a preliminary analysis using a novel method that leverages UHF neuroimaging to measure detectable differences in volumetric, microstructural and tractographic measures in the hypothalamus in patients with pituitary tumors and matched controls. We uncovered significant detectable volumetric and differences within five hypothalamic subnuclei, and the whole left hypothalamus. We observed subtle differences in microstructural integrity, and although not statistically significant warrant further investigations in a larger cohort of pituitary adenoma patients. This may also facilitate exploration of microstructural integrity within other tumor types that may have effects on the hypothalamus.
A New Framework for 3D MR Fingerprinting with Efficient Subspace Reconstruction and Joint Posterior Distribution Estimation
Authors: Zou Jiaren , Liu Yuchi , Hamilton Jesse , Jiang Yun , Seiberlich Nicole , Cao Yue
Published: August 2024

Iterative image reconstruction of highly undersampled high-resolution 3D MR fingerprinting (MRF) is time-consuming and has high memory requirements. In this work, we propose to use stochastic gradient descent to accelerate the reconstruction and reduce the memory footprint. In addition, a conditional invertible neural network is used as a fast and flexible tool for estimating the posterior distribution of tissue properties from MRF. In a simulation study, we achieved an 11-fold and 45.5GB reduction in reconstruction time and memory requirement, respectively, compared with a conventional iterative method. Uncertainty maps of tissue properties derived from the estimated posterior distributions correlate well with reconstruction errors.
Quantifying 3D-MRF Reproducibility Across Subjects, Sessions, and Scanners Automatically Using MNI Atlases
Authors: Dupuis Andrew , Chen Yong , Hansen Michael , Chow Kelvin , Ma Dan , Griswold Mark , Boyacioglu Rasim
Published: August 2024

We evaluate the reproducibility of 3D-MRF versus clinical-standard MPRAGE and TSE acquisitions for ten subjects across three acquisition sets on two scanner via a fully-automated registration and regional analysis framework. T1 and T2 quantitative maps from 3D-MRF were found to be highly reproducible (T1+/-4.6%, T2+/-6.3%) across scanners and sessions, with no significant difference between repeating a scan immediately on the same scanner, repeating a scan after repositioning the subject and reshimming, and repeating a scan on a different scanner entirely. The same is not true for MPRAGE (+/-12.4%) or TSE (+/-28.8%) acquisitions.
T1ρ Dispersion Characterization by Magnetic Resonance Fingerprinting
Authors: Eck Brendan , Kim Jeehun , Yang Mingrui , Li Xiaojuan
Published: August 2024

T1ρ dispersion is a potential biomarker that can characterize chemical exchange or diffusive exchange, complementary to other MR relaxometry parameters (e.g. T1, T2). However, T1ρ dispersion conventionally involves quantification of T1ρ at multiple spin-lock frequencies, which can require prohibitively long scan times and high radiofrequency pulse energy deposition. MR Fingerprinting (MRF) has been reported for quantification of T1ρ at a single spin-lock frequency. We propose a framework to enable T1ρ dispersion MRF data acquisition and reconstruction. We report initial simulation and real-world phantom results that demonstrate the feasibility of this MRF-based T1ρ dispersion characterization method.
Synthetic MRI derived Quantitative Maps in Diagnosis of Endometrial Carcinoma
Authors: Gu Hailei , Dou Weiqiang , Tang Wenwei
Published: August 2024

This study aimed to investigate whether synthetic-MRI can diagnose endometrial carcinoma (EC). 116 patients were recruited, including submucous myomas(SM),endometrial hyperplasia and endometrial polyps(EH&EP) and EC. Synthetic MRI derived T1, T2 and proton density(PD) mapping were obtained for each patient. Significantly different T1 and T2 were shown between EC and SM, and the optimal diagnostic efficacy was for T1+T2 with AUC of 0.865. T2 and PD were also different between EC and EH&EP. The corresponding optimal diagnostic efficacy was for T2+PD with AUC of 0.690. With these findings, synthetic-MRI may thus be effective in differentiating EC from other intrauterine diseases.
Design of a Two-dimensional Ultrashort Echo Time Simultaneous Multi-slice Pulse Sequence
Authors: Reich Jason , MacMillan Erin , Feldman Rebecca
Published: August 2024

Simultaneous multi-slice (SMS) pulse sequences have allowed for reductions in scan time with minimal signal-to-noise ratio loss. However, when ultrashort echo times (UTEs) are desired, SMS pulse sequences have been challenging to implement. In this work, we explore a UTE SMS pulse sequence that makes use of a power independent of number of slices prepulse to shape the transverse magnetization profile and a whole volume hard excitation to excite the remaining longitudinal magnetization. The novel pulse sequence is estimated to reduce scan times by a factor of approximately 7.6 when compared to UTE pulse sequences with three-dimensional acquisitions.
Model-Based Dynamic B0 Compensation of a 0.35T MRI-Linac using Inclinometer Data
Authors: Curcuru Austen , Kim Taeho , Yang Deshan , Gach H.
Published: August 2024

Balanced steady state free procession (bSSFP) sequences are commonly used for real-time imaging during MRI guided radiotherapy treatments (MR-IGRT). bSSFP sequences offer high temporal resolution and SNR but are sensitive to B0 fluctuations which lead to imaging artifacts during radiotherapy (RT) gantry rotatation.1 Previous work demonstrated that RT gantry rotation induced artifacts could be significantly reduced by compensating for B0 fluctuations using data from a free induction decay (FID) navigator prior to each bSSFP image.2 A model-based approach to B0 compensation using the gantry inclinometer was evaluated to reduce the SNR loss and temporal resolution associated with the navigator approach.
A Radiomics Nomogram for the Prediction of Microvascular Invasion of HCC and Patients’ Benefit from Postoperative Adjuvant TACE
Authors: Zhang Kun , Shen Zhi Wei , Shen Wen
Published: August 2024

• The novel radiomics nomogram developed based on Gd-EOB-DTPA MRI achieved preoperative non-invasive MVI risk prediction.• An m-score based on the radiomics nomogram could stratify HCC patients and further identify individuals who may benefit from the PA-TACE.• The radiomics nomogram could help clinicians to implement more appropriate interventions and perform individualized precision therapies.
Intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging for neoadjuvant chemotherapy response evaluation in patients with osteosarcoma
Authors: Yin Ping , Hong Nan
Published: August 2024

In this study, we simultaneously compared the predictive value of ADC, IVIM and semi-quantitative and quantitative DCE-MRI parameters for the efficacy of NACT. We found that D-Bi, D*-Bi, and f-Bi post-NACT and ΔD-Bi had statistical differences between the good response group and the poor response group. ROC curve showed that f-Bi post-NACT had the best performance in all parameters, with AUC of 0.769, sensitivity of 1, and specificity of 0.538. Correlation analysis showed that the efficacy of NACT was negatively correlated with D-Bi, D*-Bi post-NACT and ΔD-Bi, and was significantly positively correlated with f-Bi post-NACT.
Exercise-stimulated muscle hyperemia: a preliminary investigation with diffusion tensor imaging on calf muscles
Authors: Mu Xin , Tian Meng , Xu Huahui , Ni Chang , Li Yanbin , Kong Xiangwei , Gu Xiaoli , Zhang Jeff
Published: August 2024

Diffusion tensor imaging (DTI) has been shown to be highly sensitive to subtle pathological alterations caused by multiple diseases. Utilizing this capability of DTI, in this study we characterized post-exercise hyperemic responses of calf muscles. We found that multiple DTI measures, including ADC, λ1-3, and RD, increased significantly in activated muscles, and more than in those in non-activated muscles. Of particular interest was the significant increase in λ3 and RD of the activated muscle, indicating a relatively higher degree of increase in water diffusion along the cross-section direction of muscle fibers.
Multimodality Neuroimaging Biomarkers in Parkinson’s Disease
Authors: Zhang Xiaomeng , Mohan Varsha , Wooten Dustin , Hooker Bradley , Zhuang Yuchuan , Honhar Praveen , Holmes Sophie , Naganawa Mika , Dias Mark , Comley Robert , Carson Richard , Tinaz Sule , Matuskey David , Luo Yanping , Finnema Sjoerd
Published: August 2024

Neuroimaging is widely used in Parkinson's disease patients to improve diagnosis, provide insights into the natural history of disease, and facilitate the development of new treatments. Different MRI sequences and contrasts have been employed to study structure and function, whilst PET have been used to image receptors, transporters, enzymes and metabolism. In this study we evaluate relationships between pathological and functional markers of neurodegeneration using a range of advanced MRI and PET methods, in the same subjects, cross sectionally and over time. To the best of our knowledge this combination of markers has yet to be reported.
Application of QSM and tSWI in evaluating substantia nigra "swallow tail sign" in the diagnosis of Parkinson's disease
Authors: Shi Xiao , Zhang You , He Na , Cheng Zeng , Yan Fu , Haacke Ewart
Published: August 2024

The incidence of Parkinson's disease(PD) is high and the clinical symptoms are diverse making the diagnosis of PD difficult. Loss of the “swallow tail sign” (STS) as an imaging biomarker in the diagnosis of PD. It is of great value in the early diagnosis of PD and the improvement of prognosis. In this study, QSM and tSWI, were used to evaluate the STS of substantia nigra in PD patients. The results show tSWI can better display STS than QSM and its accuracy is higher.
Diagnostic efficacy of combined fractional anisotropy (FA) and mean kurtosis (MK) in detecting the Parkinson disease (PD) model rat
Authors: Dong Yanchao , Chen Yansheng , Liu Lanxiang
Published: August 2024

Both FA and MK in DKI have value in the diagnosis of PD. We here investigated the sensitivity and specificity of FA and MK in the early diagnosis of PD rat model. PD and control group, 20 in each group. The FA, MK and FA+MK in PD group were statistically significantly different from that of the control group (P < 0.01). The Youden’s index of FA+MK value was higher than the two alone. The optimal cut-off FA+MK value was 1.404. The diagnostic efficiency of the FA+MK values were better relative to that two alone in diagnosing PD.
The relationship between unruptured intracranial aneurysm morphology and hemodynamics - 7T 4D flow MRI
Authors: van Tuijl Rick , Timmins Kimberley , Velthuis Birgitta , van Ooij Pim , Zwanenburg Jaco , Ruigrok Ynte , van der Schaaf Irene
Published: August 2024

We investigated relationships between unruptured intracranial aneurysm (UIA) morphology and hemodynamics parameters measured with 7T 4D flow imaging in 35 patients with an UIA. Blood flow measured in the UIA was positively correlated with UIA size, and negatively correlated with elongation and shape index of UIA (a decrease in shape index is characteristic for unstable UIA (either growing or rupture)). Therefore, blood flow is an important parameter for risk evaluation of UIA. The described relations help toobtain better insight in risk parameters of UIA development, growth, and possible rupture.
Alterations of cerebrovascular reactivity and morphologies in de novo Parkinson's disease
Authors: Li Hongwei , Shao Xiali , Wang Bingyi , Wang Jian , Jia Jia , Chen Zhensen , Wang He , Jin Lirong
Published: August 2024

Increasing evidence showed that vascular changes might be involved in Parkinson's disease. However, the altered markers of neurovascular unit and cerebral vessels that serve as blood flow adaptors, remain unclear in early stage of de novo PD. In this study, we aimed to investigate regional cerebral blood flow (CBF), cerebrovascular reactivity (CVR) and artery morphological changes in de novo PD patients including cognitive impairment (PD-MCI) and normal cognition (PD-NC). Our data revealed that in the patient group, CVR was significantly reduced in left superior occipital gyrus, whose feeding arteries were dilated, but there was no significant change in CBF.
Altered amide proton transfer weighted signal in different Suzuki grading and preinfarction period stages in patients with moyamoya disease
Authors: Xia Chao , Zeng Jiaxin , Li Ziyu , Wei Xia , Li Xing , Sun Yuan , Hu Na , Liu Yi , Ai Kai , Lui Su
Published: August 2024

To explore the alteration of amide proton transfer weighted (APTw) signal in different Suzuki stages and preinfarction period stages in patients with moyamoya disease (MMD), we enrolled 24 patients who underwent computed tomography perfusion (CTP), digital subtraction angiography (DSA), and APTw imaging. Although our results demonstrated that APTw values in the cerebral hemispheres of MMD patients with Suzuki stages V-VI and preinfarction period stage III are significantly higher than those in other stages, suggesting that the microenvironment of cerebral hemispheres in MMD patients with different Suzuki stages and preinfarction period stages suffers different severity of acidosis penumbra.
Voxel-wise Parametric Mapping of Cerebrovascular Hemodynamics using 4D Flow MRI: A Scan-Rescan Reproducibility Study at 3T
Authors: Moore Jackson , Koko Deima , Richter Adam , Ragin Ann , Caprio Fan , Ansari Sameer , Schnell Susanne , Markl Michael , Jarvis Kelly
Published: August 2024

Cerebrovascular dual-venc 4D flow MRI enables measurement of global and local intracranial 3D hemodynamics with full volumetric coverage of the circle of Willis. Hemodynamic analysis was completed using a semi-automated voxel-wise parametric mapping tool, enabling assessment of velocity-based parameters, including mean velocity, peak velocity, kinetic energy and time-to-peak velocity. The workflow reproducibility was evaluated with scan-rescan analysis for 10 subjects who underwent two MRI scans within 30 days. Global circle of Willis and hemispheric analysis regions showed good to excellent reproducibility for all parameters except for time-to-peak velocity. Regional analysis showed better reproducibility for parameters derived from systolic cardiac timepoints.
MRI derived pulse wave indexes of the middle cerebral arteries
Authors: Voss Henning , Zhou Liangdong , Li Yi
Published: August 2024

The pulse pressure wave has been used as a marker for cardiovascular health but cannot be measured easily within the brain. We have developed an MRI protocol to image, track, and process intracranial pulse waves of the middle cerebral artery. The protocol allows for the estimation of pulsatility along the MCA and extends the estimation of standard pulse waveform indexes that are normally being used in the periphery to the brain. The reliability and reproducibility of this protocol is being tested on normal subjects and subjects with mild cognitive impairment.
Effects of glutamine synthetase on neovascularization in glioma studied by In vivo MR vessel size imaging
Authors: song tianwei , zhang yanan , zhou chen , Qian Junchao
Published: August 2024

Glioblastoma (GBM) is a highly invasive and vascularized primary malignant brain tumor. Glutamine synthetase (GS) could induce vessel sprouting through the improvement of endothelial cell migration in inflammatory diseases. MR vessel size imaging was supposed to visualize angiogenesis potentially in the brain. In the study we research the role of GS on neovascularization in glioma by in vivo vessel size imaging. Our results indicate that the vascular changes mainly occur in the tumor center and significant decreases of microvascular density values in the MSO group compared to the control. GS inhibitor could be a potential drug to treat glioma.
Evaluations of tumor acidosis that monitors early response to radiotherapy in a glioblastoma model using acidoCEST MRI
Authors: Zalles Michelle , Schuler F William , de la Cerda Jorge , Khaled Alia , Sinharay Sanhita , Pagel Mark
Published: August 2024

The treatment of glioblastoma potentially causes tumor necrosis, which has reduced glycolytic metabolism. AcidoCEST MRI measures tumor acidosis caused by tumor glycolysis. Our study demonstrated that acidoCEST MRI, a molecular imaging method that measures tumor extracellular pH, can detect a decrease in pHe < 7.0 for tumors that resisted radiotherapy or were untreated, and can detect an increase in pHe > 7.0 for tumors that were successfully treated or showed evidence for necrosis.
High-resolution fetal brain anatomical imaging using a reduced field-of-view with outer volume suppression
Authors: Jang MinJung , Zun Zungho
Published: August 2024

Reliable fetal brain anatomical imaging is critical to identify structural brain abnormalities early in utero. Fetal brain imaging with increased spatial resolution may provide more details but is limited by a large acquisition matrix size with a long readout time. Here, we demonstrate high-resolution fetal brain imaging using a reduced field-of-view with outer volume suppression. The performance of outer volume suppression pulse was evaluated in simulations and phantom/in vivo experiments. High-resolution imaging with reduced field-of-view demonstrated improved image quality than conventional imaging without visible blurring or aliasing artifacts.
Reduced adiposity in growth-restricted fetuses using quantitative two-point Dixon analysis
Authors: Rabinowich Aviad , Avisdris Netanell , Zilberman Ayala , Lazar Sapir , Link-Sourani Daphna , Herzlich Jacky , Specktor-Fadida Bella , Joskowicz Leo , Malinger Gustavo , Ben Sira Liat , Hiersch Liran , Ben Bashat Dafna
Published: August 2024

Adipose tissue (AT, i.e., fat) deposition is reduced in undernourished growth-restricted fetuses (FGR) and may correlate with disease severity. Previous studies showed reduced AT using mainly linear sonographic measurements of the subcutaneous fat. We demonstrate the use of a two-point Dixon sequence for whole-body subcutaneous AT. The fat content of 64 fetuses (37 appropriate for gestation age [AGA], 18 FGR, and 9 small for gestational age) was measured using three adiposity parameters. We demonstrated third-trimester AT accretion in AGA fetuses and reduced AT in FGR. This study is the first to demonstrate whole-fetus subcutaneous AT changes in FGR.
3D High Resolution MR Fingerprinting for prostate cancer
Authors: Fajardo Jesus , Lavrova Anna , Gulani Vikas , Jiang Yun
Published: August 2024

We developed a 3D MR Fingerprinting method with B0 correction for imaging the prostate gland. T1 and T2 maps with the spatial resolution of 1 x 1 x 3 mm3 were obtained from phantom and in-vivo experiments, demonstrating the potential of performing accurate and high-resolution tissue quantification of prostate cancer.