Article
Biology
Zeyuan Chen, Xiulan Zhai, Zikuan Chen
Summary: In this paper, we address the issue of dealing with the oblique effect in quantitative susceptibility mapping (QSM) when using phase image matrix acquired from oblique MRI. We propose a method called tiltQSM, which involves matrix rotation of the phase image and dipole kernel in a preprocessing subroutine prior to regular QSM reconstruction. The results show that tiltQSM can achieve good performance for small tilting angles (<10°).
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Clinical Neurology
Erin C. Argentieri, Ek Tsoon Tan, Jeremy S. Whang, Sophie C. Queler, Joseph H. Feinberg, Bin Lin, Darryl B. Sneag
Summary: Quantitative T-2 MR muscle mapping shows potential as a noninvasive tool for evaluating the degree of motor unit recruitment loss.
Article
Radiology, Nuclear Medicine & Medical Imaging
Aurelien Destruel, Franck Mauconduit, Aurelien Massire, Redha Abdeddaim, Maxime Guye, Vincent Gras, Virginie Callot
Summary: The study evaluated and improved the satTFL method for cervical spine at 7 T, proposing a novel interferometric encoding optimization. Optimized B-1 maps were closer to actual flip angle imaging, especially in low SNR regions, and were successfully used for improved pTx-pulse generation in quantitative T-1 mapping.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Multidisciplinary Sciences
Emily Louise Baadsvik, Markus Weiger, Romain Froidevaux, Wolfgang Faigle, Benjamin V. Ineichen, Klaas P. Pruessmann
Summary: Multiple sclerosis (MS) is a neuroinflammatory disease characterized by myelin loss and subsequent repair. Magnetic resonance imaging has recently allowed for direct mapping of the myelin bilayer in MS patients, revealing specific myelin maps and pathological alterations in unaffected brain tissue. This technique shows promise for research, diagnostics, disease monitoring, and drug development.
Article
Neurosciences
Omer Faruk Gulban, Saskia Bollmann, Laurentius (Renzo) Huber, Konrad Wagstyl, Rainer Goebel, Benedikt A. Poser, Kendrick Kay, Dimo Ivanov
Summary: This study provides a dataset of measured T 2* values in the living human brain using 7 Tesla MRI at a mesoscopic scale. The dataset includes visualizations that reveal fine-scale cortical substructures and demonstrates consistent T * 2 values across subjects. This dataset is important for anatomical investigations of the human brain and improving our understanding of the T 2*-weighted (f)MRI signal.
Review
Cardiac & Cardiovascular Systems
Calder D. Sheagren, Tianle Cao, Jaykumar H. Patel, Zihao Chen, Hsu-Lei Lee, Nan Wang, Anthony G. Christodoulou, Graham A. Wright
Summary: T1 mapping is a magnetic resonance imaging method used for diagnosing myocardial diseases, and has potential for improving patient comfort and information density. Motion-corrected and motion-resolved T1 mapping represent future directions for development.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Orthopedics
Gerd Melkus, Paul E. Beaule, Geoffrey Wilkin, Kawan S. Rakhra
Summary: Delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) is an established technique for evaluating cartilage health in developmental dysplasia of the hip (DDH), but it requires contrast injection. Newer MRI cartilage mapping techniques like T1 rho and T2* show moderate correlation with dGEMRIC, especially in the global and anterior regions, but further research is needed to understand their clinical relevance.
CLINICAL ORTHOPAEDICS AND RELATED RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chun Ki Franklin Au, Jill Abrigo, Chunlei Liu, Wanting Liu, Jack Lee, Lisa Wing Chi Au, Queenie Chan, Sirong Chen, Eric Yim Lung Leung, Chi Lai Ho, Ho Ko, Vincent Chung Tong Mok, Weitian Chen
Summary: AD is associated with higher magnetic susceptibility in the fimbria compared with controls. QSM values showed significant differences between the control and early AD groups, and could be used for differentiation, with a model incorporating clinical and radiologic data correctly classifying up to 76% of subjects.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Neurosciences
Rosa M. Sanchez Panchuelo, Olivier Mougin, Robert Turner, Susan T. Francis
Summary: An efficient mull-slice inversion-recovery EPI (MS-IR-EPI) sequence is introduced for fast, high spatial resolution, quantitative T-1 mapping, which utilizes segmented simultaneous mull-slice acquisition and slice order shifting. The MS-IR-EPI sequence provides high quality, high SNR, and sharper T-1 maps, showing potential for ultra-high resolution T-1 mapping and improved discrimination of functionally relevant cortical areas in the human brain.
Article
Neurosciences
Christa Mueller-Axt, Cornelius Eichner, Henriette Rusch, Louise Kauffmann, Pierre-Louis Bazin, Alfred Anwander, Markus Morawski, Katharina von Kriegstein
Summary: This study demonstrates that quantitative MRI methods can be used to assess the microstructural features of the human lateral geniculate nucleus (LGN) and its subdivisions, providing insights into the functional and structural characteristics of the LGN in humans.
Article
Clinical Neurology
Nicholas Sader, David Gobbi, Brad Goodyear, Richard Frayne, Ashley L. Ware, Miriam H. Beauchamp, William R. Craig, Quynh Doan, Roger Zemek, Jay Riva-Cambrin, Keith Owen Yeates
Summary: This study evaluated the use of quantitative susceptibility mapping (QSM) as a potential biomarker for predicting persistent postconcussion symptoms (PPCS) in children. The QSM scores in the frontal white matter were found to be significantly associated with cognitive symptoms of PPCS. Combining QSM scores with the 5P score improved the prediction of PPCS. These findings suggest that QSM could serve as an MRI biomarker for pediatric concussion and aid in clinical management.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Article
Medicine, General & Internal
Matthew T. Borzage, Eamon K. Doyle, Chia-Shang J. Liu, Marvin D. Nelson, Stefan Blueml, John C. Wood, Benita Tamrazi
Summary: QSM is an MRI-based technique for iron quantification that provides important diagnostic information for clinicians. However, major MRI vendors do not offer readily usable QSM post-processing solutions. This study presents a vendor-agnostic approach to scale QSM analysis from a research technique to a routine diagnostic test, providing details for seamless integration of hardware, software, and clinical systems.
Article
Biophysics
Qi Peng, Can Wu, Jeehun Kim, Xiaojuan Li
Summary: This study developed and validated a novel unpaired PC strategy to eliminate signal contaminations from T-1 recovery in 3D MP-GRE sequences. The unpaired PC schemes showed comparable or significantly improved quantitative accuracy and scan-rescan reproducibility compared with the paired PC schemes, without increasing T-1 rho quantitative variability or spatial fidelity loss. Additionally, the unpaired PC schemes exhibited different T-1 rho spectral responses at different B-0 frequency offsets, potentially reducing sensitivity to B-0 field inhomogeneities.
NMR IN BIOMEDICINE
(2022)
Article
Neurosciences
Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei
Summary: In this study, a model-based deep learning architecture called MoDL-QSM was proposed to improve accuracy in quantifying tissue susceptibility in various brain diseases by considering the impact of susceptibility tensors, reducing streaking artifacts. The model integrates convolutional neural networks and a physical model, using phase induced by X-33 and X-13, X-23 terms as network training labels. The results demonstrated superior performance compared to other deep learning QSM methods, showing potential for future applications.
Article
Biology
Daniel Haenelt, Robert Trampel, Shahin Nasr, Jonathan R. Polimeni, Roger B. H. Tootell, Martin Sereno, Kerrin J. Pine, Luke J. Edwards, Saskia Helbling, Nikolaus Weiskopf
Summary: The characterization of cortical myelination is important for studying the relationship between brain structure and function, but current knowledge is based on post-mortem histology. This study used qMRI and ultra-high field strength fMRI to investigate myelination in the V2 cortex of living humans. The results demonstrate the feasibility of studying structure-function relationships in vivo using qMRI.
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthew J. Muckley, Benjamin Ades-Aron, Antonios Papaioannou, Gregory Lemberskiy, Eddy Solomon, Yvonne W. Lui, Daniel K. Sodickson, Els Fieremans, Dmitry S. Novikov, Florian Knoll
Summary: The study developed and evaluated a neural network-based method for removing artifacts and noise in MRI images. Through machine learning, they were able to effectively mitigate artifacts in diffusion-weighted images, and the method can be independently applied to each imaging slice, providing flexibility.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zidan Yu, Shota Hodono, Olga Dergachyova, Tom Hilbert, Bili Wang, Bei Zhang, Ryan Brown, Daniel K. Sodickson, Guillaume Madelin, Martijn A. Cloos
Summary: A 3D MR technique was developed for simultaneous acquisition of proton and sodium multiparametric maps over the whole brain, demonstrating feasibility for in vivo application with comparable SNR and accuracy to single-nucleus measurements.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Noam Omer, Meirav Galun, Neta Stern, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer
Summary: A data-driven approach for mcT(2) analysis was proposed, which identified global tissue motifs in white matter segments before deconvolving the local signal at each voxel. This method improved the efficiency of myelin water imaging by optimizing voxel-wise analysis of T-2 relaxation time.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Guy Shpringer, David Bendahan, Noam Ben-Eliezer
Summary: This study presents two alternative post-processing approaches for accelerating the reconstruction of EMC-based T2 relaxation maps. Experimental results show that both methods can accelerate the processing while maintaining accuracy.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Biochemical Research Methods
Gregory Furman, Victor Meerovich, Vladimir Sokolovsky, Yang Xia, Sarah Salem, Tamar Shavit, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer
Summary: This study investigates the fibril nanostructure of fresh celery samples using nuclear magnetic resonance (NMR) and proposes a theoretical model to explain the experimental results. The agreement between the experimental data and the theoretical model is supported by optical microscopy. The quantitative NMR approach presented in this study has the potential to noninvasively determine the internal ordering of biological tissues.
JOURNAL OF MAGNETIC RESONANCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Natalie Bnaiahu, Noam Omer, Ella Wilczynski, Shir Levy, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer
Summary: High-resolution mapping of T-2 values is crucial for preclinical research and drug development. However, traditional methods often underestimate T-2 values due to molecular diffusion and imaging gradients. This study presents a new joint T-2-diffusion reconstruction algorithm that accurately maps high-resolution T-2 values.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Biophysics
Neta Stern, Dvir Radunsky, Tamar Blumenfeld-Katzir, Yigal Chechik, Chen Solomon, Noam Ben-Eliezer
Summary: The study combines the MP-PCA signal model with the EMC algorithm to denoise and improve the precision and SNR of MRI data, thereby improving the accuracy of radiological interpretation.
NMR IN BIOMEDICINE
(2022)
Article
Physiology
Irit Markus, Keren Constantini, Nir Goldstein, Roee Amedi, Yael Bornstein, Yael Stolkovsky, Merav Vidal, Shahar Lev-Ari, Roy Balaban, Stav Leibou, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer, David Peled, Yaniv Assaf, Dennis Jensen, Naama Constantini, Gal Dubnov-Raz, Israel Halperin, Yftach Gepner
Summary: This study aimed to compare the recovery rates of active young and middle-aged males following an exercise-induced muscle damage (EIMD) protocol. The results showed no significant differences between the two groups in terms of recovery. Various markers including muscle damage, pain perception, and force production showed significant changes during the recovery period. The study also found correlations between markers such as creatine kinase, IL-6, and various factors related to recovery.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chen Solomon, Omer Shmueli, Shai Shrot, Tamar Blumenfeld-Katzir, Dvir Radunsky, Noam Omer, Neta Stern, Dominique Ben-Ami Reichman, Chen Hoffmann, Moti Salti, Hayit Greenspan, Noam Ben-Eliezer
Summary: This study compares conventional MRI assessment to CAD based on a deep neural network and finds that CAD is capable of detecting more subtle lesions with higher accuracy.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Grzeda Daniel, Galun Meirav, Omer Noam, Blumenfeld-Katzir Tamar, Radunsky Dvir, Otazo Ricardo, Ben-Eliezer Noam
Summary: This study presents two new algorithms, L+S and SPARK, for reconstructing accurate T2 maps from under-sampled MRI data. The results show improved accuracy compared to standard acceleration techniques, making it suitable for clinical applications.
MAGNETIC RESONANCE IMAGING
(2023)
Article
Biophysics
Jannette Nassar, Amira Trabelsi, Rula Amer, Yann Le Fur, Shahram Attarian, Dvir Radunsky, Tamar Blumenfeld-Katzir, Hayit Greenspan, David Bendahan, Noam Ben-Eliezer
Summary: This study presents a technique that can separate the signals from water and fat within each voxel, measure their T-2 values, and calculate their relative fractions. The results show high agreement with the conventional Dixon technique, indicating the potential for improved diagnostic accuracy and tracking of disease progression.
NMR IN BIOMEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Alireza Radmanesh, Matthew J. Muckley, Tullie Murrell, Emma Lindsey, Anuroop Sriram, Florian Knoll, Daniel K. Sodickson, Yvonne W. Lui
Summary: This study explores the limits of deep learning-based brain MRI reconstruction and identifies useful acceleration ranges for general-purpose imaging and potential screening. The results show that the maximum acceleration for potential screening is three to four times higher than that for diagnostic general-purpose imaging for 2D brain images using deep learning-based reconstruction.
RADIOLOGY-ARTIFICIAL INTELLIGENCE
(2022)
Proceedings Paper
Engineering, Biomedical
Omer Zucker Shmueli, Chen Solomon, Noam Ben-Eliezer, Hayit Greenspan
Summary: This work focuses on identifying healthy brain slices and brain slices with Multiple sclerosis (MS) lesions. A new network architecture is proposed to improve network performance and reduce overfitting using attention layers. The study also explores the use of regularization scheme and synthetic lesions.
MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS
(2022)
Article
Biotechnology & Applied Microbiology
Rula Amer, Jannette Nassar, Amira Trabelsi, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
Summary: This study presents a new quantitative biomarker for disease severity using quantitative MRI and a deep learning network. By automatically segmenting lower limb anatomy, the severity and spatial distribution of intra-muscular adipose tissue can be accurately measured. The method demonstrates high accuracy and correlation, making it valuable for evaluating muscle pathologies.
BIOENGINEERING-BASEL
(2022)
Article
Orthopedics
Dror Lindner, Yigal Chechik, Yiftah Beer, Sigal Tal, Oleg Lysyy, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer, Gabriel Agar
Summary: Loading on the joints during running may lead to detrimental effects on post-partial meniscectomy knee cartilage, potentially causing osteoarthritis. T2-mapping measurements before and after running can detect changes in the articular cartilage of postmeniscectomy knees. After 30 minutes of running, the T2 values in the operated knees were significantly lower in both medial and lateral compartments.
JOURNAL OF KNEE SURGERY
(2022)