Article
Radiology, Nuclear Medicine & Medical Imaging
Marco Andrea Zampini, Jan Sijbers, Marleen Verhoye, Ruslan Garipov
Summary: This study investigates the design of a preparation module for B-1 mapping, and validates its features and robustness through simulations and experiments. The results show that the module has advantages in low flip angle and AFI sequences that sample the center of the k-space early, reducing scanner overhead time.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mahesh B. Keerthivasan, Jean-Philippe Galons, Kevin Johnson, Lavanya Umapathy, Diego R. Martin, Ali Bilgin, Maria Altbach
Summary: A new radial turbo spin-echo technique was developed for T2 mapping, showing excellent performance in high spatiotemporal resolution and efficient slice coverage. Compared to the conventional technique, the new technique demonstrated more robust T2 estimation and improved slice coverage.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
Summary: In this paper, a new framework called Learned Acquisition and Reconstruction Optimization (LARO) is proposed to accelerate the multi-echo gradient echo (mGRE) pulse sequence for quantitative susceptibility mapping (QSM). The framework optimizes a Cartesian multi-echo k-space sampling pattern and implements it in an mGRE sequence using a deep reconstruction network. A recurrent temporal feature fusion module is also introduced to capture signal redundancies along echo time. Experimental results show that the optimized sampling pattern and proposed reconstruction strategy improve the quality of multi-echo image reconstructions, and the LARO framework demonstrates robustness on test data with new pathologies and different sequence parameters.
Article
Radiology, Nuclear Medicine & Medical Imaging
Kevin B. Borsos, Desmond H. Y. Tse, Paul Dubovan, Corey A. Baron
Summary: This study introduces frequency-tuned bipolar (FTB) gradients as a variation of oscillating gradients and demonstrates their utility by mapping the frequency dispersion of kurtosis in human subjects. The optimized FTB gradient protocol shows increased SNR and shorter acquisition time compared to traditional cosine OGSE.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Yohan Jun, Hyungseob Shin, Taejoon Eo, Taeseong Kim, Dosik Hwang
Summary: The proposed deep model-based MR parameter mapping network DOPAMINE outperformed conventional methods in reconstructing T1 maps from undersampled multi-channel k-space data, demonstrating quantitatively and qualitatively superior performance.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Neurosciences
Kwok-Shing Chan, Jose P. Marques
Summary: Quantitative susceptibility mapping (QSM) is a computational technique with high sensitivity for quantifying iron deposition and distinguishing paramagnetic and diamagnetic contributions. SEPIA is an open-source processing pipeline tool for MRI phase images and QSM, offering flexibility in processing and simplifying workflow for researchers. The extendable design of SEPIA allows developers to deploy their methods and provides a platform for sharing and utilizing state-of-the-art methods in QSM research.
Article
Radiology, Nuclear Medicine & Medical Imaging
Nadege Corbin, Martina F. Callaghan
Summary: The VFA approach to T1 mapping with imperfect spoiling at 7T was investigated, taking into account the interaction between RF and gradient spoiling conditions, and the effects of diffusion. The study found that error in T1 estimates can be minimized by optimizing the spoiling regime, while correction factors for diffusion effects are recommended.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Multidisciplinary Sciences
Ang Yang, Xue Hong Xiao, Zhi Long Wang, Yong Xin Zhang, Ke Yi Wang
Summary: This study optimized 3D_T2_FFE and compared it with 3D_T2_SPACE for carotid imaging. Results showed that 3D_T2_FFE had stronger flow suppression than 3D_T2_SPACE while maintaining good imaging quality.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Interdisciplinary Applications
Jae Eun Song, Dong-Hyun Kim
Summary: This paper proposes a nonlinear dimensionality reduction method to improve the accuracy of myelin water fraction (MWF) imaging, by extracting low-dimensional features of complex-valued signals and using sparse regularization to separate anomaly sources. The proposed method outperforms conventional approaches and maintains robustness against noise and artifact corruption.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Chemistry, Physical
Anthony M. Lee, Timothy Stait-Gardner, William S. Price
Summary: Explicit phenomenological solutions are used to investigate bulk transverse and longitudinal magnetization in nuclear magnetic resonance diffusion measurements. Focus is on steady state NMR diffusion measurements to reduce experimental time, with new expressions derived for steady state longitudinal magnetization. The closed algebraic form method presented in the study offers advantages for calculating magnetization and pulse sequences in steady state analysis and development.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Neurosciences
Jingjia Chen, Nan-Jie Gong, Khallil Taverna Chaim, Maria Concepcion Garcia Otaduy, Chunlei Liu
Summary: DECOMPOSE-QSM method is developed to decompose bulk susceptibility measured with QSM into sub-voxel paramagnetic and diamagnetic components based on a three-pool complex signal model. By solving for linear and nonlinear parameters in the model, Paramagnetic component susceptibility (PCS) and diamagnetic component susceptibility (DCS) maps are constructed to represent the sub-voxel compartments, showing visually enhanced contrast between brain structures comparing to threshold QSM in initial in vivo investigation of human brain images.
Article
Neurosciences
Kwok-Shing Chan, Maxime Chamberland, Jose P. Marques
Summary: In this study, numerical simulations were used to optimize the variable flip angle (VFA) acquisition scheme for myelin water imaging (MCR-MWI), reducing the acquisition time to a clinically practical range. The repeatability of myelin water fraction (MWF) measurements using MCR-MWI under different gradient echo (GRE) sequence settings was evaluated. The study also examined the reproducibility of MCR-MWI and MCR with diffusion-informed myelin water imaging (MCR-DIMWI), as well as explored the bundle-specific profiles of various microstructural parameters. The results showed that MCR-MWI can be performed with a minimum of three flip angles, achieving whole-brain MWF maps in a shorter time without significant quality degradation.
Article
Neurosciences
Erpeng Dai, Ante Zhu, Grant K. Yang, Kristin Quah, Ek T. Tan, Eric Fiveland, Thomas K. F. Foo, Jennifer A. Mcnab
Summary: Measuring the time/frequency dependence of diffusion MRI can help distinguish between different tissue microenvironments. This study successfully measures the frequency dependence of diffusivity and kurtosis in human brains using oscillating gradient diffusion encoding waveforms and a diffusion kurtosis imaging model. The study demonstrates the potential of frequency-dependent diffusivity and kurtosis measurements in probing the microstructure of the human brain.
Article
Mathematics, Applied
Nikos Kavallaris, Takashi Suzuki
Summary: This paper studies the convergence problem of the normalized Ricci flow evolving on compact Riemannian surfaces without boundary. By using a gradient inequality, it shows the convergence of global-in-time solutions towards steady-states and provides an exponential rate of convergence towards non-degenerate critical points of a related energy functional.
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
(2022)
Review
Computer Science, Artificial Intelligence
Shradha Verma, Tripti Goel, M. Tanveer
Summary: This article discusses the importance of iron molecules in the human brain for neurological functioning and the negative effects of iron overload on brain tissue and cognitive abilities. The quantitative susceptibility mapping (QSM) technique is explored as a potential tool for estimating neural disorders caused by iron overload and for providing novel predictive biomarkers for these disorders.
COGNITIVE COMPUTATION
(2022)
Article
Neurosciences
Donna J. Cross, Gregory G. Garwin, Marcella M. Cline, Todd L. Richards, Vasily Yarnykh, Pierre D. Mourad, Rodney J. Y. Ho, Satoshi Minoshima
Article
Biophysics
Vasily L. Yarnykh, Erica V. Tartaglione, George N. Ioannou
NMR IN BIOMEDICINE
(2015)
Article
Radiology, Nuclear Medicine & Medical Imaging
Vasily L. Yarnykh, James D. Bowen, Alexey Samsonov, Pavle Repovic, Angeli Mayadev, Peiqing Qian, Beena Gangadharan, Bart P. Keogh, Kenneth R. Maravilla, Lily K. Jung Henson
Article
Physics, Multidisciplinary
V. L. Yarnykh, M. Yu. Khodanovich
RUSSIAN PHYSICS JOURNAL
(2015)
Meeting Abstract
Clinical Neurology
Emily L. Coderre, Zachary Fisher, Barry Gordon, Kerry Ledoux
ANNALS OF NEUROLOGY
(2014)
Editorial Material
Cardiac & Cardiovascular Systems
Anna V. Naumova, Vasily L. Yarnykh
Article
Cardiac & Cardiovascular Systems
Anna V. Naumova, Niranjan Balu, Vasily L. Yarnykh, Hans Reinecke, Charles E. Murry, Chun Yuan
JOURNAL OF CARDIOVASCULAR PHARMACOLOGY AND THERAPEUTICS
(2014)
Article
Critical Care Medicine
Eric C. Petrie, Donna J. Cross, Vasily L. Yarnykh, Todd Richards, Nathalie M. Martin, Kathleen Pagulayan, David Hoff, Kim Hart, Cynthia Mayer, Matthew Tarabochia, Murray A. Raskind, Satoshi Minoshima, Elaine R. Peskind
JOURNAL OF NEUROTRAUMA
(2014)
Article
Radiology, Nuclear Medicine & Medical Imaging
Vasily L. Yarnykh
MAGNETIC RESONANCE IN MEDICINE
(2012)
Article
Radiology, Nuclear Medicine & Medical Imaging
Pouria Mossahebi, Vasily L. Yarnykh, Alexey Samsonov
MAGNETIC RESONANCE IN MEDICINE
(2014)
Meeting Abstract
Gastroenterology & Hepatology
Vasily L. Yarnykh, Erica Tartaglione, George N. Ioannou
Meeting Abstract
Clinical Neurology
Marina Yu Khodanovich, Irina V. Sorokina, Valentina Yu Glazacheva, Nikolay M. Nemirovich-Danchenko, Alexander V. Romashchenko, Andrey E. Akulov, Oleg B. Shevelev, Tatyana G. Tolstikova, Vasily L. Yarnykh
ANNALS OF NEUROLOGY
(2015)
Meeting Abstract
Clinical Neurology
Elena P. Krutenkova, Marina Yu Khodanovich, James D. Bowen, Beena Gangadharan, Lily K. Jung Henson, Angeli Mayadev, Pavle Repovic, Peiqing Qian, Vasily L. Yarnykh
ANNALS OF NEUROLOGY
(2015)
Meeting Abstract
Clinical Neurology
Vasily L. Yarnykh, James D. Bowen, Pavle Repovic, Angeli Mayadev, Peiqing Qian, Beena Gangadharan, Lily K. Jung Henson
ANNALS OF NEUROLOGY
(2014)
Meeting Abstract
Clinical Neurology
Vasily L. Yarnykh, James D. Bowen, Alexey A. Samsonov, Pavle Repovic, Angeli Mayadev, Bart P. Keogh, Beena Gangadharan, Hunter R. Underhill, Kenneth R. Maravilla, Lily K. JungHenson
MULTIPLE SCLEROSIS JOURNAL
(2013)