Article
Radiology, Nuclear Medicine & Medical Imaging
Ashley Wilton Stewart, Simon Daniel Robinson, Kieran O'Brien, Jin Jin, Georg Widhalm, Gilbert Hangel, Angela Walls, Jonathan Goodwin, Korbinian Eckstein, Monique Tourell, Catherine Morgan, Aswin Narayanan, Markus Barth, Steffen Bollmann
Summary: A robust masking technique and reconstruction procedure were developed to automatically separate reliable from less reliable phase regions, operating on two-pass reconstruction to extract more information and suppress streaking artifacts, leading to significant artifact and error reductions, greater anatomical detail, and minimal parameter tuning across a range of acquisitions.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Neurosciences
Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun
Summary: Deep neural networks show great potential in solving dipole inversion for QSM. However, they perform poorly when there are mismatched sequence parameters. In this study, we propose the AFTER-QSM deep neural network, which is robust against arbitrary acquisition orientation and spatial resolution. The network achieves excellent generalizability and significantly improves image quality assessments and reduces artifacts and noise levels compared to other methods.
Article
Radiology, Nuclear Medicine & Medical Imaging
Julia V. Velikina, Ruiyang Zhao, Collin J. Buelo, Alexey A. Samsonov, Scott B. Reeder, Diego Hernando
Summary: To improve repeatability and reproducibility in quantitative susceptibility mapping (QSM) of the liver, an optimized regularized reconstruction algorithm for abdominal QSM was developed. The algorithm incorporates estimates of data reliability and anatomical priors, resulting in higher quality susceptibility maps. Evaluations show that the proposed method outperforms the standard method in terms of linear correlation, test-retest repeatability, and reproducibility across different acquisition protocols.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Neurosciences
Zhenghao Li, Ruimin Feng, Qiangqiang Liu, Jie Feng, Guoyan Lao, Ming Zhang, Jun Li, Yuyao Zhang, Hongjiang Wei
Summary: The brain tissue phase contrast in MRI sequences reflects the spatial distributions of multiple substances. Advanced susceptibility imaging methods have been recently developed to distinguish the contributions of opposing susceptibility sources for QSM. The proposed method provides state-of-the-art performances for quantifying brain iron and myelin compared to previous QSM separation methods.
Article
Radiology, Nuclear Medicine & Medical Imaging
Nashwan Naji, Alan Wilman
Summary: This study proposes a new method to improve background field estimation and inversion-to-susceptibility process for high-resolution thin slab data by utilizing additional low-resolution data of extended spatial coverage. The proposed method enables focal QSM acquisitions at sub-millimeter resolution within a relatively short scan time.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Psychiatry
Marisleydis Garcia Saborit, Alejandro Jara, Nestor Munoz, Carlos Milovic, Angeles Tepper, Luz Maria Alliende, Carlos Mena, Barbara Iruretagoyena, Juan Pablo Ramirez-Mahaluf, Camila Diaz, Ruben Nachar, Carmen Paz Castaneda, Alfonso Gonzalez, Juan Undurraga, Nicolas Crossley, Cristian Tejos
Summary: The study used quantitative susceptibility mapping (QSM) to investigate magnetic susceptibility changes in deep-brain nuclei in patients with psychosis. The results showed a reduction in iron concentration in the globus pallidus externa of patients. The findings suggest that susceptibility reduction may be a trait marker of psychosis rather than a state marker.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Neurosciences
Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun
Summary: This study proposed a Deep Complex Residual Network (DCRNet) to accelerate QSM and R2* acquisition by recovering both magnitude and phase images from incoherently undersampled data. Compared with other methods, DCRNet substantially reduced artifacts and blurring, resulting in the highest PSNR, SSIM, and RMSE on various MRI maps. Additionally, DCRNet demonstrated a 3.2% to 9.1% accuracy improvement in deep grey matter susceptibility and significantly shortened the reconstruction time of single 2D brain images.
Article
Neurosciences
Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima Nasrallah, Craig Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun
Summary: This study developed a new deep neural network method to achieve near-instant quantitative field and susceptibility mapping from raw MRI phase data, eliminating the cumbersome steps of traditional QSM reconstruction process and achieving high reconstruction accuracy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiacheng Du, Yuxin Ji, Jiali Zhu, Xiaoli Mai, Junting Zou, Yang Chen, Ning Gu
Summary: In this study, an edge prior guided dictionary learning-based method is proposed for dipole inversion in quantitative susceptibility mapping reconstruction, which achieves improved performance in streaking artifacts suppression, structural recovery, and quantitative metrics assessment through in vivo human brain clinical data.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Neurosciences
Hyungseok Jang, Sam Sedaghat, Jiyo S. Athertya, Dina Moazamian, Michael Carl, Yajun Ma, Xing Lu, Alicia Ji, Eric Y. Chang, Jiang Du
Summary: This study developed an ultrashort echo time quantitative susceptibility mapping technique with an efficient 3D cones trajectory and validated its effectiveness in the human brain. The results showed that this technique provides reliable estimation of magnetic susceptibility and offers a new biomarker for susceptibility mapping in the in vivo brain.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Atsushi Yoshida, Frank Q. Ye, David K. Yu, David A. Leopold, Okihide Hikosaka
Summary: Quantitative susceptibility mapping (QSM) is a valuable tool for visualizing subcortical structures in the macaque brain and provides enhanced contrast for important anatomical details. The method significantly improves the visualization of structures such as the ventral pallidum, globus pallidus, substantia nigra, subthalamic nucleus, and dentate nucleus. Additionally, QSM values of certain structures are correlated to the age of macaque subjects.
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
Marta Lancione, Mauro Costagli, Giacomo Handjaras, Michela Tosetti, Emiliano Ricciardi, Pietro Pietrini, Luca Cecchetti
Summary: Functional Quantitative Susceptibility Mapping (fQSM) allows for quantitative measurement of magnetic susceptibility in the brain with higher spatial specificity than conventional fMRI. While fQSM detected fewer responsive voxels than fMRI, they were more consistently located in gray matter. Overall, fQSM provides complementary results to conventional fMRI, capturing small-scale variations in activation patterns.
Article
Radiology, Nuclear Medicine & Medical Imaging
Emma Biondetti, Anita Karsa, Francesco Grussu, Marco Battiston, Marios C. Yiannakas, David L. Thomas, Karin Shmueli
Summary: This study compared different multi-echo combination methods for MRI QSM and recommended combining the signal phase by nonlinear fitting before applying LBMs to improve regional accuracy and reduce phase noise.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Christof Boehm, Jonathan K. Stelter, Kilian Weiss, Jakob Meineke, Alexander Komenda, Tabea Borde, Marcus R. Makowski, Eva M. Fallenberg, Dimitrios C. Karampinos
Summary: A preconditioned water-fat-silicone total field inversion (wfsTFI) algorithm was developed to estimate susceptibility map in the breast with silicone, and its performance was evaluated in comparison with previously proposed methods. Numerical simulations and in vivo measurements demonstrated that the wfsTFI algorithm significantly reduced artifacts and improved the accuracy of susceptibility estimation in proximity to silicone breast implants.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Clinical Neurology
Pascal Spincemaille, Julie Anderson, Gaohong Wu, Baolian Yang, Maggie Fung, Ke Li, Shaojun Li, Ilhami Kovanlikaya, Ajay Gupta, Douglas Kelley, Nissim Benhamo, Yi Wang
JOURNAL OF NEUROIMAGING
(2020)
Article
Multidisciplinary Sciences
Priya S. Balasubramanian, Pascal Spincemaille, Lingfei Guo, Weiyuan Huang, Ilhami Kovanlikaya, Yi Wang
Article
Radiology, Nuclear Medicine & Medical Imaging
Allen A. Champagne, Yan Wen, Magdy Selim, Aristotelis Filippidis, Ajit Thomas, Pascal Spincemaille, Yi Wang, Salil Soman
Summary: This retrospective cohort study found that the novel postprocessing QSM method from multiecho complex total field inversion (mcTFI) could better differentiate between acute and subacute ICH compared to the traditional MEDI method. The study also showed that CTindex values were more strongly correlated with mcTFI QSM measurements, suggesting that mcTFI may provide an improved method for assessing the acuity of intracranial blood products in clinical settings.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Clinical Neurology
Alexey Dimov, Thanh D. Nguyen, Pascal Spincemaille, Elizabeth M. Sweeney, Nicole Zinger, Ilhami Kovanlikaya, Brian H. Kopell, Susan A. Gauthier, Yi Wang
Summary: The study demonstrated a global CSF method for consistent and automated zero referencing of brain QSM, showing improvements in repeatability and image quality compared to the ventricular CSF method. Results from healthy subjects and PD/MS patients indicated that the global CSF regularization method provided more consistent CSF volume and higher QSM repeatability, leading to better image quality in brain QSM.
JOURNAL OF NEUROIMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yan Wen, Pascal Spincemaille, Thanh Nguyen, Junghun Cho, Ilhami Kovanlikaya, Julie Anderson, Gaohong Wu, Baolian Yang, Maggie Fung, Ke Li, Douglas Kelley, Nissim Benhamo, Yi Wang
Summary: The proposed multiecho complex total field inversion (mcTFI) method improved QSM reconstruction accuracy over traditional field-to-source inversion through better signal modeling. It demonstrated more accurate QSM reconstruction in numerical brain simulations with lesions, as well as better image quality with fewer artifacts in brains with intracerebral hemorrhage scanned at 3T and healthy brains scanned at 7T.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Endocrinology & Metabolism
Junghun Cho, Thanh D. Nguyen, Weiyuan Huang, Elizabeth M. Sweeney, Xianfu Luo, Ilhami Kovanlikaya, Shun Zhang, Kelly M. Gillen, Pascal Spincemaille, Ajay Gupta, Susan A. Gauthier, Yi Wang
Summary: Our study demonstrates the feasibility of whole brain oxygen extraction fraction mapping for measuring lesion-specific and regional abnormalities in multiple sclerosis patients. Comparing OEF and neural tissue susceptibility between MS patients and healthy controls revealed distinct differences in lesion areas and overall brain oxygen utilization, suggesting OEF as a potential quantitative marker for tissue oxygenation in MS.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2022)
Article
Clinical Neurology
Jiahao Li, Weiyuan Huang, Xianfu Luo, Yan Wen, Junghun Cho, Ilhami Kovanlikaya, Susan A. Gauthier, Thanh D. Nguyen, Pascal Spincemaille, Yi Wang
Summary: The study demonstrates that the SRO method improves the visualization of CVS compared to SWI, with higher detection rates and better image quality scores, as well as increased central vein-to-lesion contrast.
JOURNAL OF NEUROIMAGING
(2022)
Article
Clinical Neurology
Alexey Dimov, Thanh D. Nguyen, Kelly M. Gillen, Melanie Marcille, Pascal Spincemaille, David Pitt, Susan A. Gauthier, Yi Wang
Summary: This study aims to demonstrate the feasibility of separating magnetic sources in quantitative susceptibility mapping (QSM) using magnitude decay rates R2* in gradient echo (GRE) MRI. The results show that using R2* can accurately estimate the magnetic susceptibility of sources, and there is a significant correlation between susceptibility changes and longitudinal myelin water fraction (MWF) changes. The changes in magnetic susceptibility may serve as a biomarker for myelin recovery or damage in acute multiple sclerosis (MS) lesions.
JOURNAL OF NEUROIMAGING
(2022)
Article
Clinical Neurology
Kyuwon Lee, Brian Ellison, Magdy Selim, Ngo H. Long, Aristotelis Filippidis, Ajith J. Thomas, Pascal Spincemaille, Yi Wang, Salil Soman
Summary: QSM demonstrates more consistent and interpretable lesion intensity compared to SWIP for distinguishing CMBs from calcification.
JOURNAL OF NEUROIMAGING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Alexey V. Dimov, Jiahao Li, Thanh D. Nguyen, Alexandra G. Roberts, Pascal Spincemaille, Sina Straub, Zungho Zun, Martin R. Prince, Yi Wang
Summary: Quantitative susceptibility mapping (QSM) is used to study magnetic materials in tissue, and has been predominantly applied in the brain but is now being used outside the brain as well. QSM relies on the effect of tissue magnetic susceptibility sources on the MR signal phase obtained with gradient echo sequence. However, in the body, the chemical shift of fat also affects the MR signal phase, so correcting for the chemical shift effect is crucial for body QSM. By compensating for motion artifacts, body QSM has been used to study various conditions such as liver iron and fibrosis, heart chamber blood and placenta oxygenation, myocardial hemorrhage, atherosclerotic plaque, cartilage, bone, prostate, breast calcification, and kidney stone.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
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.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Pascal Spincemaille, Martin R. Prince
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yan Wen, Pascal Spincemaille, Thanh Nguyen, Junghun Cho, Ilhami Kovanlikaya, Julie Anderson, Gaohong Wu, Baolian Yang, Maggie Fung, Ke Li, Douglas Kelley, Nissim Benhamo, Yi Wang
Summary: A novel mcTFI method was developed for direct computation of susceptibility maps from multiecho gradient echo images, showing improved QSM reconstruction accuracy and image quality compared to conventional nTFI method in both numerical simulations and real brain data.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Neuroimaging
Kyle D. Murray, Md Nasir Uddin, Madalina E. Tivarus, Bogachan Sahin, Henry Z. Wang, Meera Singh, Xing Qiu, Lu Wang, Pascal Spincemaille, Yi Wang, Sanjay B. Maggirwar, Jianhui Zhong, Giovanni Schifitto
Summary: This study aimed to assess the association between cardiovascular risk factors, white matter hyperintensities (WMHs), and brain tissue susceptibility in the context of cerebral small vessel disease (CSVD) using quantitative susceptibility mapping (QSM). Results showed that individuals with HIV infection had significantly higher CSVD signs compared to controls, with WMH volumes correlating significantly with age and cardiovascular risk scores. Regional QSM was found to be associated with cardiovascular risk factors, age, sex, and WMH volumes, but not with HIV status. These findings suggest that QSM may serve as an early imaging marker for alterations in brain microcirculation.
NEUROIMAGE-CLINICAL
(2021)
Article
Neuroimaging
Po-Jui Lu, Youngjin Yoo, Reza Rahmanzadeh, Riccardo Galbusera, Matthias Weigel, Pascal Ceccaldi, Thanh D. Nguyen, Pascal Spincemaille, Yi Wang, Alessandro Daducci, Francesco La Rosa, Meritxell Bach Cuadra, Robin Sandkuehler, Kambiz Nael, Amish Doshi, Zahi A. Fayad, Jens Kuhle, Ludwig Kappos, Benjamin Odry, Philippe Cattin, Eli Gibson, Cristina Granziera
Summary: A method called GAMER MRI was developed to assess the relative importance of MRI measures in neurological diseases with focal pathology, potentially aiding in choosing the best combination of MR contrasts for specific classification problems.
NEUROIMAGE-CLINICAL
(2021)