Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting by Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang

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Relationship Between Bi-Caudate Ratio and White Matter Atrophy in Brain MRI of Multiple Sclerosis by Hussein Soleimantabar, Shno Hosseini

“…Brain magnetic resonance imaging (MRI) is critical to determine the prognosis of MS. …”
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Periapical bone edema volume in 3D MRI is positively correlated with bone architecture changes by Alexander W. Marka, Monika Probst, Tobias Greve, Nicolas Lenhart, Niklas Graf, Florian Probst, Gustav Andreisek, Thomas Frauenfelder, Matthias Folwaczny, Egon Burian

“…MRI detected bone edema in 23 radiolucent lesions on OPT. …”
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淋巴细胞性及髓细胞白血病脊椎骨髓的MRI表现

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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

“…We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI). Methods Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression. …”
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Automatic skull segmentation of MRI volume, a deep learning model trained on synthetic data by Romain Valabregue, Mélanie Didier, Mathieu Santin, Éric Bardinet, Victor Giolland, Antoine Balzeau

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Arterial Spin Labeling (ASL) fMRI: Advantages, Theoretical Constrains and Experimental Challenges in Neurosciences by Ajna Borogovac, Iris Asllani

“…Arterial spin labeling (ASL) is a noninvasive fMRI technique that uses arterial water as an endogenous tracer to measure CBF. …”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…To address these issues, this study introduces VGG19-Brain’s MRI for Tumor (BMT), an enhanced version of the classic VGG19 model. …”
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An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training by Yuan Liu, Shuaifei Huang, Weiguo Xu, Zhuang Wang, Dong Ming

“…Here, 20 healthy right-handed participants were recruited and randomly assigned to BCI-SRF group or inborn finger group (Finger) for 4-week training and measured by novel SRF-finger opposition sequences and multimodal MRI. After training, the BCI-SRF group showed 350% times compared to the Finger group in the improvement of sequence opposition accuracy before and after training, and accompanied by significant functional connectivity increases in the sensorimotor region and prefrontal cortex, as well as in the intra- and inter-hemisphere of the sensorimotor network. …”
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Super High Contrast USPIO-Enhanced Cerebrovascular Angiography Using Ultrashort Time-to-Echo MRI by Liam Timms, Tianyi Zhou, Ju Qiao, Codi Gharagouzloo, Vishala Mishra, Rita Maria Lahoud, John W. Chen, Mukesh Harisinghani, Srinivas Sridhar

“…However, its potent T2∗ relaxivity limits achievable T1-weighted positive contrast and leads to artifacts in standard MRI protocols. Optimization of protocols for ferumoxytol deployment is necessary to realize its potential. …”
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Superparamagnetic Bifunctional Bisphosphonates Nanoparticles: A Potential MRI Contrast Agent for Osteoporosis Therapy and Diagnostic by Y. Lalatonne, M. Monteil, H. Jouni, J. M. Serfaty, O. Sainte-Catherine, N. Lièvre, S. Kusmia, P. Weinmann, M. Lecouvey, L. Motte

“…The as-synthesized nanoparticles were evaluated as a specific MRI contrast agent by adsorption study onto hydroxyapatite and MRI measurment. …”
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A Longitudinal fMRI Research on Neural Plasticity and Sensory Outcome of Carpal Tunnel Syndrome by Hao Ma, Yechen Lu, Xuyun Hua, Yundong Shen, Mouxiong Zheng, Wendong Xu

“…This result implied a potential connection between fMRI measurement and clinical improvement.…”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…This study aimed to construct and evaluate several Radiomics-based machine learning models using MRI to differentiate between those two disorders and compare their efficacies to those of medical experts.Methods140 MRI scans were retrospectively collected from the electronic medical records. …”
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Perceptions and practices of imaging personnel and physicians regarding the use of brain MRI for dementia diagnosis in Uganda. by Rita Nassanga, Noeline Nakasujja, Mark Kaddumukasa, Stephen E Jones, Martha Sajatovic, Michael Grace Kawooya

“…<h4>Results</h4>The study revealed three key themes: Brain MRI Practices for Diagnosing Dementia, Facilitators of Appropriate MRI Use, and Barriers to Appropriate Use of Brain MRI. …”
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Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas by Valeria Cerina, Chiara Benedetta Rui, Andrea Di Cristofori, Davide Ferlito, Giorgio Carrabba, Carlo Giussani, Gianpaolo Basso, Elisabetta De Bernardi

“…Abstract An assessment scheme is proposed to evaluate GBM gross tumor core and T2-FLAIR hyper-intensity segmentations on preoperative multicentric MR images as a function of tumor morphology and MRI characteristics. 74 gross tumor core and T2-FLAIR hyper-intensity BraTS-Toolkit and DeepBraTumIA automatic segmentations, and 42 gross tumor core neurosurgeon manual segmentations were accordingly evaluated. …”
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Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers by Karissa Chan, Corinne Fischer, Pejman Jabehdar Maralani, Sandra E. Black, Alan R. Moody, April Khademi

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Detecting MRI-Invisible Prostate Cancers Using a Weakly Supervised Deep Learning Model by Yao Zheng, Jingliang Zhang, Dong Huang, Xiaoshuo Hao, Weijun Qin, Yang Liu

“…Background. MRI is an important tool for accurate detection and targeted biopsy of prostate lesions. …”
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A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models by Naseer Ahmed Khan, Xuequn Shang

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Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis by Mingfang Hu, Jinge Li, Zhangyu Li, Jian Shen

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Visual and Auditory fMRI Paradigms for Presurgical Language Mapping: Convergent Validity and Relationship to Individual Variables by Antonina Omisade, Christopher B. O’Grady, Matthias H. Schmidt, John D. Fisk

“…Functional MRI (fMRI) has emerged as a safe alternative to invasive procedures for determining hemispheric language dominance prior to neurosurgery. …”
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