bluuebunny/crossref_metadata_2025 huggingface dataset:
High Contrast Cartilaginous Endplate Imaging Using Dual-Inversion Recovery Prepared Ultrashort Echo Time (DIR-UTE) Sequence
Authors: Athertya Jiyo , Lo James , Ji Alicia , Ding Charles , Chen Xiaojun , Shin Soo Hyun , Malhi Bhavsimran , Jerban Saeed , Carl Micael , Guma Monica , Chang Eric , Du Jiang , Ma Yajun
Published: August 2024

The cartilaginous endplate (CEP) plays a key role in maintaining the normal function of the intervertebral disc (IVD) by acting as a bridge for the transport of nutrients into the IVD cells. In this study, we developed a 3D dual inversion recovery prepared ultrashort echo time (DIR-UTE) sequence for high contrast CEP imaging and compared its performance with previously developed techniques on a clinical 3T scanner. We found that the proposed DIR-UTE sequence demonstrated the best image contrast for CEP imaging, which is highly promising for future clinical use.
Novel 3D Quantitative Magnetization Transfer Imaging of The Whole Knee Cartilage
Authors: Jang Albert , Stewart Zachary , Torriani Martin , Tanaka Miho , Liu Fang
Published: August 2024

We propose to characterize cartilage extracellular matrix of the whole knee using a novel quantitative magnetization transfer (MT) imaging technique. This new technique achieves accurate T1 and MT quantification by using a new sequence incorporating off-resonance RF pulses that create two simultaneous effects: 1) Bloch-Siegert phase shift to measure and correct for B1+ inhomogeneity and 2) direct saturation of macromolecules to model MT. This new method, termed BTS (Bloch-Siegert and magnetization Transfer Simultaneously), is presented and validated in both phantom and in-vivo knee imaging experiments.
3D Cluster Analysis for Cartilage T2 And T1ρ Mapping to Assess Focal Lesions in ACL-Injured Subjects
Authors: S Anoosha Pai , Gatti Anthony , Black Marianne , Desai Arjun , Rosenberg Jarrett , Young Katherine , Asay Jessica , Sherman Seth , Gold Garry , Kogan Feliks , Hargreaves Brian , Chaudhari Akshay
Published: August 2024

A 3D pipeline (longitudinal registration followed by cluster analysis) was developed to identify focal-lesions (clusters) of elevated T2 and T1ρ in femoral cartilage over 4-visits (3-weeks, 3, 9, and 18-months) post ACL-reconstruction surgery. Cluster Average (CA) and Cluster Percentage (CP) for T2 were significantly higher for ACL-inured when compared to ACL-contralateral and control-healthy knees. While the CP followed an increasing trend during subsequent visits, CA did not significantly vary across visits. Thus, our method could be effective for identifying and tracking quality (measured by CA) and quantity (measured by CP) of focal lesions in ACL-injured population.
Detecting crossing fibers in animal and human brain using small angle X-ray scattering and comparison to diffusion MRI
Authors: Georgiadis Marios , Menzel Miriam , Reuter Jan , Schroeter Aileen , Gao Zirui , Kovacevich Sophie , Alvarez Dario , Guizar-Sicairos Manuel , Rudin Markus , Born Donald , Weiss Thomas , Rajkovic Ivan , Axer Markus , Zeineh Michael
Published: August 2024

Mapping neuronal trajectories requires accurate determination of fiber crossings. Diffusion MRI detects fiber orientations but is affected by multiple brain structures and requires constant validation. Small-angle X-ray scattering (SAXS) can specifically image myelinated axons exploiting myelin’s periodic nanostructure. However, its capability to detect crossing fibers is still unexplored. We show that SAXS detects multiple crossing fibers using human corpus callosum strips, and in white and gray matter of mouse, vervet monkey, and human brain. We compare results to polarized light and tracer experiments and show that SAXS more sensitively detects fiber crossings compared to diffusion MRI on the same samples.
Direct estimation of pharmacokinetic parameters of DCE-MRI from raw k-space data with model-based reconstruction
Authors: Korobova Natalia , Rauh Susanne , Troelstra Marian , Orton Matthew , Schrauben Eric , Maier Oliver , Nederveen Aart , Gurney-Champion Oliver
Published: August 2024

Dynamic contrast enhanced (DCE) MRI is a minimally invasive technique that is able to quantitatively investigate the tumor vasculature microenvironment. Such information shows great potential for treatment stratification and response monitoring. However, DCE typically suffers from low spatial resolution, Rician noise bias, and errors due to complex perfusion modeling. Model-based reconstruction, in which DCE parameters are estimated directly from k-space, may overcome these shortcomings. In this study, we implemented model-based reconstruction for DCE-MRI data, validated it in simulations, and showed its performance in-vivo. With model-based reconstruction the estimated parameter maps exhibited less noise and preserved more anatomical details.
Unsupervised learning for MRI cross-scanner harmonization
Authors: Wen Grace , Shim Vickie , Qiao Miao , fernandez Justin , Holdsworth Samantha , Wang Alan
Published: August 2024

Harmonization is necessary for large-scale multi-site neuroimaging studies to reduce the variations due to factors such as image acquisition, imaging devices, and acquisition protocols. This so-called scanner effect significantly impacts multivariate analysis and the development of computational predictive models using MRI. Our approach utilized an unsupervised learning based model to build a mapping between MR data acquired from two different scanners. Results illustrate the potential of unsupervised deep learning algorithms to harmonize MRI data, as well as to improve downstream tasks by applying the harmonization.
Age-related Vascular Changes in Choroid Plexus Evaluated Using High-resolution USPIO-Enhanced 7T MRI
Authors: Sun Zhe , Li Chenyang , Muccio Marco , Jiang Li , Ge Yulin
Published: August 2024

The choroid plexus (ChP) is a highly vascularized structure that is important in CSF production and waste solute clearance. In this work, USPIO-enhanced 7T imaging was used to detect microvascular changes associated with normal aging. We showed improved susceptibility contrast of ChP vessels and surrounding stromal tissues on high-resolution USPIO-enhanced 2D T2*-weighted MRI. Both age-related sparser vasculature and distended stromal tissues were identified. ChP volume increases with age, whereas the difference between pre-/post-contrast quantitative susceptibility map (QSM) decreases with age (P<0.05); and vascular degenerative change may occur earlier than volume change.
Effects of free breathing on cerebrospinal fluid hydrodynamics: a study based on real-time phase-contrast MRI
Authors: LIU Pan , Owashi Kimi , Monnier Heimiri , Metanbou Serge , Capel Cyrille , Balédent Olivier
Published: August 2024

The effect of breathing on CSF is not well understood. Real-time phase-contrast MRI can quantify CSF flow continuously. A time-domain multi-parameter analysis method was developed to quantify the effect of free breathing on CSF. It was found that the cardiac period and the average stroke volume of CSF at second-to-third cervical vertebrae level and at the aqueduct were significantly increased during the expiratory phase, while the net flow of CSF was notably decreased.
Fasciculus Axonal Connective Tissue Multiscale Imaging (FACTMI) - Connectome Mapping of Optic Nerve with 16 µm MRI at 14T and 0.1 µm histology
Authors: Schneider Walter , Wu Yijen , Watson Alan , Kedziora Kasia , Pathak Sudhir , Zhao Yongxin , Gorantla Vijay , Anders Jens , Polman Rolf , Scheffler Klaus
Published: August 2024

Accurate brain connectome mapping requires tracking fasciculus bundles of axons within tracts. In porcine optic nerve harvested tissue and TAXON diffusion phantom on a 14T magnet with a new linear coil array, we identify fasciculi with 16 µm resolution and follow TAXON fibers over centimeters from eye to LGN. MAGNIFY and bright field optical histology provide 0.1 & 0.25-micron resolution with accurate counts of the 1.2 million axons within fasciculi aligned with MRI and fasciculus wall structure. We use MRI and deep learning to predict the axon paths at each point and axon counts in each fasciculus.
MRI Assessment of the Therapeutic Effect of Combined Electroacupuncture and Stem Cells in Acute Peripheral Nerve injury
Authors: chen yueyao , pan zhongxian , meng fanqi , yu xuewen , xu qian , huang leyu , liang qiumei , wu yanglei , lyu hanqing , lin xiaofeng
Published: August 2024

We aimed to verify the efficacy of bone mesenchymal stem cells (BMSCs) combined with electroacupuncture (EA) in the treatment of peripheral nerve injury (PNI) using pathology and MRI. In a rat model of sciatic nerve crush damage, we found that BMSCs and EA combined therapy improved axon and myelin regeneration synergistically and significantly decreased post-injury nerve edema, improved axon guiding factor, and expedited motor function recovery. This suggests that a combination of BMSCs and EA can provide both topological and biomolecular guidance to promote axonal extension, myelin regeneration, and functional recovery after PNI.
Altered white matter diffusion properties and gray matter volume in classical trigeminal neuralgia
Authors: Zhang Yang , Su Wei , Du Xiaoyu , Li Rui , Zhao Hang , Wang Zhaoping , Feng Lei , lin liangjie , Zhang Kaihua
Published: August 2024

Investigating microstructural changes in patients with classical trigeminal neuralgia (CTN) has contributed to understanding the pathological neural mechanism of CTN. This study aimed to reveal abnormalities of the trigeminal fiber bundles by combing MR diffusion tensor imaging (DTI) with voxel-based morphometry (VBM). 32 patients with CTN and 32 matched healthy controls were recruited with the main fiber bundle diffusion indices calculated and the whole-brain gray matter volume measured for each subject. Results showed that CTN exhibited microstructural changes in the trigeminal nerve fibers, and the changes might be associated with the pathogenesis of trigeminal neuralgia.
Analysis of cerebral perfusion changes after microvascular decompression in patients with hemifacial spasm
Authors: Lv Kuan , Yang Aocai , Liu Bing , Luan Jixin , Ma Guolin
Published: August 2024

We used the eASL technique to explore the mCBF, ATT and CBV alterations after MVD in patients with HFS. And found that the ATT values in the left superior frontal gyrus region 6 and the right precuneus region 1 were significantly increased in the L-HFS group after surgery compared with the preoperative ones. Furthermore, preoperative ATT values in the right precuneus 1 region were negatively correlated with mCBF values in the L-HFS group. It is suggested that these brain regions may play different roles in the underlying pathological mechanisms of HFS.
Evaluation of Brachial Plexus Injuries in Infants with DTI and Tractography
Authors: Karatas Meltem , Oguz Kader Karli , Sengul Gulgun , Uzumcugil Akin , Coban Gokcen
Published: August 2024

Neonatal brachial plexus injury (NBPI) is caused by traction on the neck during birth and presents with flaccid paralysis of the upper extremity. 10-20% of the cases result in neurological sequelae and require surgical intervention; the treatment decisions principally depend on the clinical assessments through the first six months of life. Early stratification of NBPI cases may lead to earlier intervention for severe injuries, better disease outcomes, and higher quality of life. Here, we investigated the use of DTI and tractography for infants with NBPI; our results suggest that this approach might be suitable as a diagnostic and prognostic tool.
Usefulness of Deep Learning Models of DWI in Direct Differentiating Malignant and Benign Breast Tumors Without Lesion Segmentation
Authors: Iima Mami , Tsuji Kazuki , Mizuno Ryosuke , Yamazaki Toshiki , Kataoka Masako , Honda Maya , Ota Rie , Okazawa Aika , Imanishi Keiho , Toi Masakazu , Nakamoto Yuji
Published: August 2024

348 women suspected of breast tumors were enrolled, and 206 breast lesions (139 malignant, 67 benign) were further analyzed. Breast 5b-value-DWI was performed, and a deep learning model dedicated to this breast DWI dataset was established. Several comparative experiments were performed; comparison of data augmentations, small network VS. large network, 2DCNN VS. 3DCNN, and analysis in 5b-DWI VS. ADC maps. Augmentations using elastic deformation, affine transform, and Gaussian noise improved diagnostic performance up to AUC=0.90. The use of small CNN and without ADC map also showed higher diagnostic performance (AUC=0.88-0.90), showing AI potential to improve breast DWI diagnostic performance.
Feasibility of integrating 6 diffusion models within a single acquisition and their performance comparison in liver fibrosis staging
Authors: Jiang Yanli , Fan Fengxian , Zou Jie , Yang Pin , Wang Pengfei , Zhang Jing , Wang Shaoyu
Published: August 2024

DWI has been broadly used in clinical practice, which can provide quantitative parameters. Several DWI models have been used for liver fibrosis staging but diagnostic performance variance in different research because their acquisitions are different and normally difficult to be compared in one study. In this study, we compared 6 DWI models, including 14 parameters in detecting significant liver fibrosis using date from one acquisition. The results showed that the DWI models were similarly valuable in detecting significant liver fibrosis in patients with liver disease. The combined index with the three parameters of CTRW model had the highest AUC.
Experimental Validation of a PNS Optimized Body Gradient Coil
Authors: Davids Mathias , Vendramini Livia , Klein Valerie , Ferris Natalie , Guerin Bastien , Wald Lawrence
Published: August 2024

We report experimental PNS threshold measurements of an asymmetric PNS optimized whole-body gradient coil and compare it to a standard symmetric coil designed without PNS optimization. Stimulation thresholds were measured in 10 healthy adult subjects for five clinically relevant scan positions. The optimized design raised thresholds by up to 47% in four out of the five studied scan positions (head, cardiac, pelvic, and knee imaging positions). These results support the potential value of PNS-optimized asymmetric whole-body gradients for maximizing image encoding performance
An experimental setup for acoustic noise reduction in MRI using Predictive Noise Canceling
Authors: Siuryte Paulina , Weingärtner Sebastian
Published: August 2024

Gradient acoustic noise in MRI remains a large source of patient discomfort, with sound pressure levels reaching 130dB. In this work, we explore Predictive Noise Canceling (PNC) to reduce the acoustic noise. The method, similarly to active noise canceling, uses anti-noise to create a quiet zone. However, PNC is based on a direct gradient noise prediction, and is hence robust to aperiodicity and latency. We use iterative equalization and external trigger signals to achieve improved signal fidelity. The method is, for the first time, applied regular MRI sequences, and achieves up to 13dB noise reduction in the 0.3-4kHz range.
In vivo demonstration of arbitrary ROI shaping and B0 shimming with MC-ECLIPSE for applications in human brain proton MRSI
Authors: Kumaragamage Chathura , McIntyre Scott , Nixon Terence , De Feyter Henk , de Graaf Robin
Published: August 2024

ECLIPSE is a pulsed second order gradient insert that allows unparalleled extracranial lipid suppression over an elliptical ROI for applications in human brain proton MRSI. While ECLIPSE provides excellent axial slice coverage for brain shapes that closely resemble an ellipse, coverage is compromised for head shapes that are asymmetrical. We recently constructed an ECLIPSE gradient coil in combination with a 54-channel multi-coil array (MC-ECLIPSE) for human brain ROI shaping and B0 shimming. Here we demonstrate >95% axial slice coverage with ROI shaping over challenging head shapes, in addition to improved B0 shimming capabilities relative to second order spherical harmonic shims.
RF shimming in the spinal cord at 7T
Authors: Papp Daniel , Cereza Gaspard , D'Astous Alexandre , Alonso-Ortiz Eva , Cohen-Adad Julien
Published: August 2024

Spinal cord MRI at 7T suffers from Tx inhomogeneity. RF shimming is therefore potentially useful in this region. Here, we evaluate for the first time the effect, both on signal intensity and signal homogeneity, of multiple RF shimming algorithms implemented in the open-source ‘Shimming Toolbox’, and compare the results with vendor solutions.
Evaluation of the brain volumes development of fetuses with isolated non-severe ventriculomegaly using MRI
Authors: Chen Zhaoji , Wu Fan , Zhang Xin , Li Yuchao , Liu Zhenqing , Xie Chenxin , Liu Hongsheng
Published: August 2024

The objective of our study to perform the development of brain volume in fetus with the isolated non-severe ventriculomegaly (INSVM). Then the MRI images of 36 INSVM fetuses and 22 normal fetuses were retrospectively collected, and were manually delineated to obtain quantitative data of brain regions. The gestational age ranged from 26 to 35 weeks. Our study found that the volume development of the basal ganglia, thalamus, and partial white matter in the INSVM fetuses were different from those in the normal fetuses. These differences in the volume development of brain regions need to be determined by expanding the sample.
Personalized quantitative MRI multiparameter abnormality maps provide correlates of disability in multiple sclerosis patients
Authors: Chen Xinjie , Schädelin Sabine , Lu Po-Jui , Ocampo-Pineda Mario , Weigel Matthias , Barakovic Muhamed , Ruberte Esther , Cagol Alessandro , Maréchal Bénédicte , Kober Tobias , Kuhle Jens , Kappos Ludwig , Melie-Garcia Lester , Granziera Cristina
Published: August 2024

We performed an extensive assessment of the clinical relevance of a method that we had previously developed, which provides personalized quantitative MRI abnormality maps of individual multiple sclerosis (MS) patients. Specifically, we assessed the relationships between quantitative T1 (qT1), myelin water fraction (MWF), neurite density index (NDI), magnetization transfer saturation (MTsat) abnormality maps and clinical disability in a cohort of 102 MS patients and 98 healthy subjects. We found that qT1 and NDI alterations in white matter lesions were strongly related to patients' clinical disability, supporting the use of those personalized maps for patient stratification and follow-up in clinical practice.
Fast macromolecular proton fraction imaging based on spin-lock
Authors: Hou Jian , Qian Yurui , Jiang Baiyan , Fan Xiang , Chu Winnie , So Tiffany , Chen Weitian
Published: August 2024

Macromolecular proton fraction (MPF) represents the relative amount of semi-solid macromolecules involved in magnetization transfer with free water protons. In this work, we reported a novel MPF quantification method based on spin-lock for rapid MPF mapping. The total scan time for 3D brain MPF measurement can be achieved within five minutes. We demonstrated the proposed method via simulation, phantom and in vivo experiments.
High Temporal Resolution Blood Oxygen Level Dependent functional MRI.
Authors: Dziadosz Martyna , Hilbert Tom , Yerly Jérôme , Stuber Matthias , Nau Matthias , Murray Micah M. , Fornari Eleonora , Franceschiello Bendetta
Published: August 2024

We demonstrate the feasibility and robustness of a new method to measure blood-oxygen-level-dependent functional MRI(BOLD-fMRI) signals at high temporal resolutions(up to 250ms). Whole-brain data at 1x1x1 mm3 were acquired uninterruptedly during a blocked-design ON/OFF visual paradigm(checkerboard vs. grey image). Images were reconstructed with a 4D x-y-z-t dimensions at 2.5s, 1.0s, 500ms and 250ms temporal resolution, allowing to retrieve the expected %signal change(2%) in visual cortices. We also evaluated the effect of compressed-sensing(CS) application in BOLD-fMRI reconstruction schemes, finding that CS improves the obtained signal in the calcarine sulcus(around 23k(a.u) in pixel intensity of BOLD map TCFE corrected vs 10k(a.u)).
Mapping Grey Matter Cerebrovascular Reactivity and Oxygen Consumption Using Resting-State BOLD-ASL Functional MRI
Authors: Chiarelli Antonio , Patitucci Eleonora , Germuska Michael , Caporale Alessandra , Biondetti Emma , Chandler Hannah , Murphy Kevin , Tomassini Valentina , Wise Richard
Published: August 2024

BOLD and ASL CBF fMRI can measure cerebrovascular reactivity (CVR) following a vasodilatory stimulus such as hypercapnia. BOLD and ASL CVR measurements allow us to extract the maximum BOLD signal modulation from which, through biophysical modelling, OEF and CMRO2 can be inferred. We measured these physiological variables in grey matter by assessing the resting-state coupling between fMRI and end-tidal CO2 (reflecting arterial CO2) recordings. In-vivo evaluation of two, sequentially acquired, 14-min recordings at rest demonstrated the method’s good repeatability. This simplified calibrated fMRI approach does not require an exogenous hypercapnic stimulus and thus holds promise for future applications.
Diffusion weighted, intravoxel incoherent motion, diffusion kurtosis tensor MR imaging in chronic kidney disease: correlations with histology
Authors: Zhu Jie , Gao Jia-Yin , Wu Pu-Yeh , Song Yan
Published: August 2024

Noninvasive, repeatable and accurate biomarkers to identify renal histological changes for tailoring treatment and evaluating renal prognosis are demanded. In this study, we aimed to compare and probe correlations of parameters derived from standard DWI and its extending models including IVIM, DTI, and DKTI with the pathological and functional alterations in CKD. We found that the corrected diffusion-related indices, including cortical and medullary D and MD, as well as medullary FA were superior to ADC, perfusion-related and kurtosis indices for evaluating alterations of renal pathology and function in CKD patients, and these metrics were also correlated with eGFR and Scr.
Age-related alterations of hippocampal microstructure quantified using diffusion MRI in a unfolded hippocampal space
Authors: Ma Yixin , Lee Hansol , Tian Qiyaun , Huang Susie , Lee Hong-Hsi
Published: August 2024

The hippocampus plays an important role in cognition and memory. Microstructural alterations can happen in specific sub-regions within the hippocampus in normal aging. Applying more advanced diffusion models and pinpointing changes in specific locations in the hippocampus, though challenging, may offer greater insight into subfield-specific neurodegeneration. Here, we applied advanced biophysical models of dMRI and correlated tissue parameters with age across the unfolded hippocampal coordinates in 43 healthy adults covering a wide age span.
Automated Contrast Selection for Robust Bright- and Black-Blood Myocardial Scar Imaging
Authors: de Villedon de Naide Victor , Ribal Indra , Gut Pauline , Ozenne Valéry , Montier Géraldine , Maes Jean-David , Boullé Thibault , Delclaux Guillaume , Maillot Aurélien , Sridi Soumaya , Quesson Bruno , Stuber Matthias , Cochet Hubert , Bustin Aurélien
Published: August 2024

Phase-sensitive inversion recovery is the reference imaging technique for the assessment of myocardial scars. Despite its ability to provide excellent contrast between healthy and scar tissue, small subendocardial scars can be challenging to detect due to poor scar-to-blood contrast. Joint bright- and black-blood late gadolinium enhancement techniques have been developed to provide both scar and anatomy information. Black-blood contrast is obtained after manual selection of an optimal inversion time (TI). This often results in uncertainties, variability, increased workload, and operator-dependency. In this work, we propose a method exploiting artificial intelligence to fully automate TI selection for more robust cardiac imaging.
Visualization of the extracranial branches of the trigeminal nerve using iMSDE preparation 3D IR-TSE
Authors: She Dejun , Huang Hao , You Peiying , Li Lu , Zhao Xiance , Cao Dairong
Published: August 2024

Visualization of the anatomy of extracranial the trigeminal nerve (TGN) is crucial to detect nerve pathological alterations and differentiate pathologic causes. As a novel and safe nerve imaging technique in magnetic resonance neurography (MRN), the iMSDE pulse could result in uniform vascular signal suppression without additional contrast agents, which has been demonstrated to improve the visualization of peripheral nerves in several anatomical regions. Our results suggested that the iMSDE 3DIRTSE is a viable alternative to conventional 3DIRTSE and contrast-enhanced 3DIRTSE for MRN of the extracranial branches of TGN in clinical practice.
Substantially Improved Receive Sensitivity of Human Whole-Brain MRI at 7T using a High-Permittivity Material (HPM) Slurry-Filled Helmet
Authors: Soon Soo Han , Waks Matt , Wiesner Hannes , Zhu Xiao-Hong , Lanagan Michael , Yang Qing , Chen Wei
Published: August 2024

Novel methods such as high-permittivity materials (HPM) and metasurfaces have improved RF coil transmission efficiency and receive field (B1-) sensitivity for MRI applications at ultrahigh field. One of the recent studies, which applied ceramic HPM helmet with the permittivity of 100, showed significant improvement in signal-to-noise ratio (SNR). Motivated from the previous studies with various forms of HPM at 3T and 7T, this study introduces an easy and accessible method with an HPM slurry helmet to largely improve imaging quality of human brain MRI at 7T, which could improve B1- field by 57% and SNR by 47%.
Synthesizing contrast-enhancement map from non-contrasted black-blood images for brain lymphatic imaging using a deep neural network
Authors: Kim Jun-Hee , Yoo Roh-Eul , Choi Seung-Hong , Park Sung-Hong
Published: August 2024

In this study, we proposed non-invasive brain lymphatic region mapping by synthesizing contrast-enhancement maps (CEM) from non-contrast enhanced black blood imaging (non-CEBB). T1 images were used as secondary input along with non-CEBB, which helped the network to better distinguish lymphatic regions from blood vessels. From the reconstructed 3D CEM segmentation, enhancement was mainly distributed in dorsal parasagittal dura, parasagittal regions, brain basal region and around choroid plexus, consistent with previous studies. This study could be applied to the segmentation of the brain lymphatic region with less ambiguity and may help automatic segmentation rather than intensity-based segmentation by adapting self-supervised learning.
Integration of Slice-Based Diagnostic Probabilities Predicted by 2D Deep Learning Using ResNet50 to Yield Lesion-Based Diagnosis in Breast MRI
Authors: Zhang Yang , Zhou Jiejie , Chen Zhongwei , Zhao You-Fan , Wang Meihao , Liu Yan-Lin , Chen Jeon-Hor , Nie Ke , Su Min-Ying
Published: August 2024

A deep learning model using 2D ResNet50 CNN was trained to differentiate a dataset of 103 malignant vs 73 benign breast lesions, then tested in a testing dataset of 53 malignant and 31 benign cases. The 2D slice-based results were used to calculate a probability for each lesion, by using 5 methods: (1) slice-based average, (2) tumor area weighted average, (3) tumor perimeter weighted average, (4) using the probability of the largest tumor slice, (5) using the highest probability among all slices. The results showed using the highest probability to convert from slice-based to lesion-based diagnosis had the best performance.
Additional value of T2 mapping and texture analysis for the improvement to MR elastography based liver fibrosis Machine Learing classification
Authors: Bencikova Diana , Poetter-Lang Sarah , Raudner Marcus , Krššák Martin , Trattnig Siegfried , Ba-Ssalamah Ahmed
Published: August 2024

MR elastography is currently the most accurate non-invasive diagnostic method for liver fibrosis. However, other pathologic processes co-existing with liver fibrosis influence the stiffness measurement and including other MR-based measures might improve fibrosis assessment. In this work we suggest to add texture analysis features calculated on liver T2 maps together with T2 values from fast radial turbo-spin-echo sequence into a machine-learning classification model and to compare the performance of the model after adding selected parameters. Our results show that including both, texture analysis and T2 values significantly improves the classification performance of the model.
Evaluation of Amide Proton Transfer Imaging for Bladder Cancer Histopathologic Features: A Comparative Study with Diffusion- Weighted Imaging
Authors: Wang Fang , Xiang Yong-Sheng , Wu Peng , Shen Ai-Jun , Wang Pei-Jun
Published: August 2024

Amide proton transfer (APT) imaging is an emerging chemical exchange saturation transfer (CEST)-based MRI technique that is sensitive to mobile proteins and peptides in tissue and has drawn considerable attention in the field of cellular and molecular imaging. In the present work, our result demonstrates that APT imaging can predict tumor grade and muscular invasion in bladder cancer, the diagnostic performance for evaluating muscular invasion is better than that of diffusion-weighted imaging (DWI) and adding APT imaging to DWI significantly improved the diagnostic accuracy for evaluating muscular invasion versus DWI alone, thus opening new research avenues in this field.
Study on the influence of different scanning directions of whole-body MRI on the detection of lesions
Authors: Wang Nan , Liu Ailian , Li Guobin , Zhang Shuheng , Xiang Shaoxin , Dai Yongming , Song Qingwei
Published: August 2024

Whole-body MRI (WB-MRI) is proposed as a potential modality to evaluate the entire body with excellent spatial resolution and high sensitivity. However, the long scanning time of WB-MRI has still limited the clinical application. This study compared the time cost and lesion display effect of WB-MRI in different scan directions. This study demonstrated that using coronal scanning in WB-MRI is an effective method to reduce the scan time and achieve good performance in detecting lesions in clinical applications.
Relationship beween Plaque burden, calcification features and low carotid stent expansion rate by high-resolution MR vessel wall imaging
Authors: Sun Meng , Yu Wei , Lian Xiu
Published: August 2024

To quantitatively evaluate carotid plaque burden and components and to explore the association between carotid plaque burden and compositions and carotid stent expansion rate (SER) by using carotid high-resolution magnetic resonance vessel wall imaging (HR-VWI). Maximum wall thickness (OR 1.75; 95% CI, 1.02-3.00, P=0.04), maximum single-slice calcification circumference score (OR 2.79, 95% CI 1.06 - 7.37, P=0.03), and maximum area percentage of calcification (OR 1.20, 95% CI 1.04 - 1.39, P=0.01) as predictors of the low SER. Larger culprit plaque, larger calcification area, and greater calcification circumference were independently associated with a low SER after carotid artery stenting.
MR Feature Tracking-Derived Circumferential Strain of the Aortic Wall Correlates to Abdominal Aortic Aneurysm Growth Independent of Diameter
Authors: Dong Huiming , Leach Joseph , Zhou Ang , Chitiboi Teodora , Ballweber Megan , Gasper Warren , Saloner David , Mitsouras Dimitrios
Published: August 2024

Recent studies are increasingly highlighting aortic wall stress, strain, and other mechanical descriptors as relevant factors associated with abdominal aortic aneurysm (AAA) progression. The goal of this prospective patient study was to employ MR feature tracking to measure the maximum circumferential strain in AAAs and study investigate its relationship with AAA growth. The feature tracking-measured AAA circumferential strain was lower than that of the normal aorta, indicating that the AAA wall is less compliant than the non-aneurysmal aorta. Furthermore, AAA strain was associated with the growth rate of the aneurysm, independent of AAA maximum diameter.
Neuromelanin-MRI Assessment in Dementia with Lewy Bodies
Authors: Orad Rotem , Artzi Moran , Bregman Noa , Mirelman Anat , Thaler Avner , Droby Amgad , Goldstein Orly , Gana-Weisz Mali , Avisdris Netanell , Orr-Urterger Avi , Giladi Nir , Shiner Tamara , Ben Bashat Dafna
Published: August 2024

Reduced neuromelanin-MRI signal and volume are known in Parkinson's disease (PD). However, changes in neuromelanin-MRI with Dementia with Lewy bodies (DLB) and whether there are genotype-related differences are unknown. In this study, we showed reduced neuromelanin signal and volume in patients with DLB compared to healthy controls. Yet, no differences were detected between genotype groups: DLB with and without GBA mutation. Results may suggest the same pathomechanism underlying DLB, PD and other neurodegenerative parkinsonian syndromes, with depletion of neuromelanin within the substantia nigra.
Contribution of diffusion MRI to neuropathic pain in the SNL rat model: correlation between gliosis and diffusion parameters
Authors: Im Sang-Jin , Jin Seokha , Cho HyungJoon
Published: August 2024

In this study, magnetic resonance imaging is used for anatomical and pathological studies of the spinal cord, investigating the mechanisms of neuralgia through diffusion magnetic resonance imaging techniques. However, analysis of ganglion changes in the spinal cord in multi-shell diffuse-weighted MRI signals remains challenging due to the ambiguous relationship between sympathetic and MRI signals. To study these relationships, we construct a neuropathic pain model using rats by performing in ex-vivo MRI experiments and neuropathic cell staining to provide insight into the treatment of neuropathic pain.
Quantitative evaluation of the spinal cord compression in patients with cervical spondylotic myelopathy using synthetic MRI
Authors: Tang Xiangyu , Shao Haoyue , Liu Weiyin , Liu Qiufeng , Zhu Wenzhen
Published: August 2024

The present study for the first time applied synthetic MRI in diagnosis of patients with cervical spondylotic myelopathy. Multiple relaxation maps (T1, T2 and PD maps) and contrast-weighted images were obtained in a single scan of synthetic MRI. Our study demonstrated that T1 and T2 relaxation times of spinal cord at maximal compression level (MCL) changed with a grade dependent difference and T1MCL value could sensitively reflect the microstructural alteration of compressive spinal cord and even MCL at grade I, Moreover, T1MCL and T2MCL value was related to clinical scores and diameter values of the spinal cord at MCL.
Quantitative Magnetic Resonance Imaging to Quantify the Macro and Microstructural Changes in Normal and Pediatrics with Spinal Cord Injury
Authors: Shahrampour Shiva , Alizadeh Mahdi , Middleton Devon , De Leener Benjamin , Krisa Laura , Flanders Adam E. , Faro Scott H. , Cohen-Adad Julien , Mulcahey MaryJane , Mohamed Feroze B.
Published: August 2024

Spinal Cord Injury (SCI) in the pediatric population is relatively rare but carries significant psychological and physiological consequences. Advanced qMRI techniques has shown promising results to evaluate spinal cord integrity at a macro and microstructural level.
Simulating the efficiency of Variable Flip Angle (VFA) multi-parametric mapping of T1, PD, and T2* at 7T suggests longer TRs may be optimal
Authors: Mangal Jyoti , Dokumaci Ayse , Leitao David , Tomi-Tricot Raphael , Bridgen Pip , Hajnal Joseph , Prieto Claudia , Malik Shaihan , Carmichael David
Published: August 2024

Quantitative MRI at 7T may have important clinical applications owing to the potential for enhanced resolution and uniform tissue characterisation. Current protocols, often for pragmatic reasons, use short TRs(~20ms) and a handful of echo times but this might not be optimal for T2* estimation. We simulated the optimal TR and echo number for dual flip angle mapping of T1, PD, and T2* for realistic 7T tissue and sequence parameters. The optimal efficiency was found to be at 65ms with 20 echoes. The simulations suggested that longer TRs of 40-60ms would be optimal. Preliminary in-vivo data only partially supported these findings
Feasibility of Using Deep Learning to Reduce Bias in Quantitative Values: A Study Based on fast Multidynamic Mutiecho Imaging
Authors: Liu Yawen , Ren Pengling , Yin Hongxia , Zhu Yi , Wei Rong , Cai Linkun , Niu Haijun , Wang Zhenchang
Published: August 2024

Rapid quantitative magnetic resonance imaging (qMRI) is the trend of MR development and has essential diagnostic value. However, reducing acquisition time will come at the expense of image quality and will also affect the accuracy of quantitative values. Here we propose a method for reconstructing fast low-resolution qMRI images using deep learning, aiming to improve image quality while reducing bias in quantitative values. The research results show that after deep learning, the image quality is comparable to that of conventional high-resolution scanning images, and quantitative values are also more stable.
Integrating Adaptive Generative Network and Subspace Models for Accelerated MR Parameter Mapping
Authors: Zhao Ruiyang , Peng Xi , Lam Fan
Published: August 2024

We proposed a new method that integrates an adapted generative network image prior and subspace modeling for accelerated MR parameter mapping. Specifically, a formulation is introduced to synergize a subspace constraint, a subject-specific generative model-based image representation and joint sparsity regularization. A pretraining using public database plus subjective specific network adaptation strategy is used to construct an accurate representation of the unknown contrast-weighted images. An efficient alternating minimization algorithm is used to solve the resulting optimization problem. The improved reconstruction performance achieved by the proposed method over subspace and sparsity constraints was demonstrated in a T2 mapping experiment.
A 3D large-coverage carotid quantitative vessel wall imaging solution: from imaging protocol to post-processing pipeline
Authors: Xu Ning , Qiao Huiyu , Liu Jiachen , Yu Shuwan , Ning Zihan , Shen Rui , Zhao Xihai
Published: August 2024

Carotid quantitative high-resolution MR vessel wall imaging, such as T1- and T2-mapping, showed a great potential to stratify vulnerable plaques. This study proposed a 3D large-coverage carotid quantitative imaging solution including bright- and black-blood quantitative VWI protocol and an efficient post-processing pipeline. The proposed protocol was in excellent agreement with standard mapping in measuring T1 (R2=0.99) and T2 (R2=0.94) validated by phantom study. The volunteer experiment proved that there was no significant difference in measuring T1 (1103.89±50.86 ms vs. 1125.34±50.39 ms, P=0.26) and T2 (31.23±1.50 ms vs. 31.69±1.54 ms, P=0.21) of muscle between the proposed protocol and clinical reference mapping.
Automatic Segmentation of Liver Metastases Based on a Deep Learning: Assessment of Tumor Treatment Response According to the RECIST 1.1 Criteria
Authors: liu xiang , wang xiaoying
Published: August 2024

This retrospective study aims to develop an automated algorithm for segmentation of liver metastases based on a deep learning method and assess its efficacy for treatment response assessment according to the RECIST 1.1 criteria. One hundred and sixteen treated patients with clinically confirmed liver metastases were enrolled. A 3D U-Net algorithm was trained for automated liver metastases segmentation and treatment response assessment. The results demonstrated that the automated liver metastases segmentation was capable of evaluating treatment response, with comparable results to the junior radiologist and superior to that of the fellow radiologist.
Whole-heart NCMRA Using Single-Breath-Hold TFE EPI at 3T:Comparison with 3D-mDixon TFE Coronary MRA on Healthy Volunteers
Authors: Han Mengyue , Wang Jian , Yao Jian , Du Xiao , Wang Ruopeng , Yang Tiantian , Jing Zheng , Zhu Yingcui , Li Baijie , Xu Chenglin , Yan Deyue , Yue Xiuzheng
Published: August 2024

Non-contrast-enhanced whole-heart coronary MRA(NCMRA) is a noninvasive modality for the detection of coronary artery disease. 3D-mDixon with compressed SENSE has been used in clinical practices but was limited to its scanning time of approximately 5-15 minutes. The EPI technique could shorten the scan time in MRI acquisition. The study aimed to evaluate the image quality of single breath-hold TFE-EPI NCMRA and 3D-mDIXON NCMRA with compression SENSE in healthy volunteers. The results showed there was no significant difference in image contrast between the LM, RCA proximal, and LAD proximal. The single breath-hold TFE-EPI sequence might have its own unique advantages.
Application of 4D-PACK and 4D-S-PACK in the internal carotid artery occlusion: initial experience
Authors: Zhang Jin , Sun Beibei , Ding Shenghao , Cheng Yongjun , Ma Mengyou , Wu Xinyang , Wu Peng , Zhao Huilin
Published: August 2024

We recruited 4 patients with internal carotid artery occlusive diseases and assessed whether 4D-MR angiography can be used as a noninvasive alternative to intraarterial DSA. All patients were imaged with TOF-MRA, 4D-PACK, 4D-S-PACK, and DSA. 4D-PACK demonstrated a sensitivity, specificity, and accuracy of 100%, 100%, and 100% respectively, as same as TOF-MRA, for diagnosing ICAO in reference to DSA. Moreover, 4D-PACK along with 4D-S-PACK could provide additional dynamic information on compensatory circulation after ICAO. Our results showed that non-contrast 4D-MR angiography has the potential to become an alternative imaging approach in diagnosing ICAO and initially assessing its blood supply pattern.
Multi-parametric characterization of thalamic nuclei based on manual delineation using the Synthetic MPRAGE images
Authors: Colinco Alexa Gail , Tchoquessi Rosy Linda Njonkou , Roys Steven , Jiang Li , Raghavan Prashant , Prince Jerry , Gullapalli Rao , Zhuo Jiachen
Published: August 2024

The accurate delineation of thalamic nuclei is important in understanding the underlying pathophysiology associated with neurological disorders and in targeting specific thalamic nuclei in image guided interventions. However, sub-parcellation of the thalamic nuclei is challenging given the lack of contrast within the thalamus provided by conventional T1 or T2 images. In this study, we use synthesized MPRAGE images with different inversion time (TI) (SynTI) to accurately parcellate thalamic nuclei, as outlined by the Morel atlas. Additionally, we examined the distinct magnetic susceptibility and diffusion properties of individual nuclei, which can be used to further improve thalamic nuclei segmentation.
Relationships of oxidative stress markers in the brain with circulating sex hormones
Authors: Busler Jessica , Slate Sarah Rose , Foneska Monica , Liao Huijun , Lyndon Stanley , Taylor Jacob , Lin Alexander , Mahon Pamela
Published: August 2024

Oxidative stress is implicated in multiple psychiatric and neurodegenerative conditions, differs by biological sex and covaries with circulating estrogens. However, limited knowledge exists on the association of brain markers of oxidative stress via glutathione (GSH) with circulating sex hormones. Therefore, we conducted brain magnetic resonance spectroscopy, assayed blood serum for circulating sex hormones, and measured brain GSH-sex hormones associations. We found that dorsolateral prefrontal cortex GSH relates to estradiol in women and men and anterior cingulate cortex GSH relates to estradiol, estrone, and total testosterone in women. This study highlights the importance of considering sex in GSH MRS studies.
Interaction of Alzheimer’s Disease Status and History of Traumatic Brain Injury on Measures of Cortical Thickness
Authors: D'Souza Gina , Churchill Nathan , Guan Dylan , Khoury Marc , Fischer Corinne , Schweizer Tom
Published: August 2024

Traumatic Brain Injury (TBI) is associated with an accelerated course of dementia, although biological relationships are still incompletely understood. We characterized the differences in cortical thickness, for Alzheimer’s Disease (AD) patients with and without a history of TBI. Among individuals diagnosed with AD, a history of TBI was associated with a smaller decrease in cortical thickness in frontal-temporal regions, relative to their non-AD counterparts, with analyses controlling for the effects of age, sex, and education. TBI may lower the susceptibility threshold for cognitive decline related to AD by decreasing an individuals’ ability to cope with aging and/or AD pathology.
High resolution probabilistic in-vivo atlas of Nigrosome 1
Authors: Lancione Marta , Donatelli Graziella , Cencini Matteo , Bosco Paolo , Costagli Mauro , Cosottini Mirco , Biagi Laura , Tosetti Michela
Published: August 2024

Iron accumulation in Nigrosome 1 (N1) may represent an important biomarker in neurodegenerative disorders but its small dimension and the vanishing swallow tail sign in patients make the segmentation of this region challenging. We propose a probabilistic atlas of N1 created on a multimodal (T1-w and T2*-w) template using ROIs that were manually drawn on 0.6mm-isotropic T2*-weighted images of twenty healthy subjects. Its usability and accuracy were tested on four additional subjects by comparing the mean N1 susceptibility and T2* obtained using the atlas to those obtained from manual ROIs and by measuring their geometrical proximity.
Structural waste clearance markers in the elderly: sex differences in the relation between perivascular and parasagittal dural space volume
Authors: van der Thiel Merel , Hett Kilian , Roos Nathalie , Mcknight Colin , Leguizamon Melanie , Venturini Sofia , Ramakers Inez , Backes Walter , Jansen Jacobus
Published: August 2024

Cerebral waste clearance reduces with healthy aging and occurs in various neurodegenerative diseases. Both perivascular spaces (PVS) and the parasagittal dural (PSD) space play important roles in waste clearance, where the former transports waste products through the parenchyma, the latter is associated with cerebrospinal fluid efflux from the cranial compartment. The current 7T MRI study investigated sex differences in the relation between PVS and PSD volume in an elderly sample. By identifying a relationship between PVS and PSD solely in females, this study illustrates the possibility of a different impairment mechanism of the clearance system between elderly men and women.
Intravoxel Tissue Heterogeneity Revealed by Non-Gaussian Time-Dependent Diffusion MRI and Its Correlation with Histology
Authors: Dan Guangyu , Li Weiguo , Sun Kaibao , Luo Qingfei , Karaman Muge , Zhou Xiaohong Joe
Published: August 2024

Recently, diffusion-weighted MRI has emerged for probing intravoxel structural heterogeneity non-invasively as an alternative to gold standard histopathological analysis. A previous study demonstrated the correlation between the imaging- and histology-based tissue heterogeneities using a continuous-time random-walk (CTRW) model at a single diffusion time. In this study, we extended the study to multiple diffusion times and investigated the diffusion time dependence of the CTRW parameters and their correlation with histology-based heterogeneity on human glioma tissues. Significant time dependency was observed in the CTRW parameters, providing practical insights into the selection of diffusion time when assessing tissue heterogeneity.
Characterization of Concomitant Gradient Fields and their effects on a 46 mT Halbach-Based point-of-care MRI system
Authors: de Vos Bart , Remis Rob , Webb Andrew
Published: August 2024

Low field Halbach systems are susceptible to concomitant gradient effects. The associated fields are significantly different from clinical systems and are presented here for the first time. The corresponding equations and associated effects are verified using a spin echo sequence on a 46 mT Halbach system where a gradient strength of 10 mT/m on a phantom with maximum dimension of 200 mm is observed to create distortions. These are most evident in the transverse plane, where the phase encoding gradient causes blurring and overlapping the other transverse gradient lobe results in an additional warping effect.