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
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
Neurosciences
Ronja C. Berg, Christine Preibisch, David L. Thomas, Karin Shmueli, Emma Biondetti
Summary: In this study, the effect of different acquisition sequences, flow compensation schemes, and QSM reconstruction methods on venous susceptibilities was investigated. The QSM reconstruction method was found to have a greater influence on susceptibility values compared to the acquisition sequence, with multi-echo gradient-echo acquisition sequences without full flow compensation yielding comparable results to sequences with full flow compensation.
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
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
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.
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
Radiology, Nuclear Medicine & Medical Imaging
John J. McFadden, Julian C. Matthews, Lauren A. Scott, Geoff J. M. Parker, Maelene Lohezic, Laura M. Parkes
Summary: The final echo time was found to have no significant effect on OEF, while voxel size had a significant impact, with larger voxel sizes underestimating OEF. The last step of estimating vein OEF values from susceptibility images had the largest dependency on voxel size.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Neurosciences
YangYingQiu Liu, JunYi Dong, QingWei Song, Nan Zhang, WeiWei Wang, BingBing Gao, ShiYun Tian, ChunBo Dong, ZhanHua Liang, LiZhi Xie, YanWei Miao
Summary: This study quantitatively assessed the cerebral vein oxygen levels in AD patients using QSM, finding a significant negative correlation between cerebral venous MSV and cognitive scores. The results suggest that decreasing cerebral venous oxygen levels may impact cognitive status in AD patients and be associated with disease progression.
FRONTIERS IN NEUROSCIENCE
(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
Sagar Buch, Yongsheng Chen, Pavan Jella, Yulin Ge, E. Mark Haacke
Summary: This study introduces the use of Ferumoxytol to map the hippocampal micro-vasculature and evaluate the quantitative change in tissue fractional vascular density in each subfield. The results show differences in micro-vascular density among different parts of the hippocampus, and a significant correlation between micro-vascular density in the CA1 region and age, indicating a loss of hippocampal vascularity in the normal aging process. The study suggests that vascular degeneration may precede tissue atrophy.
Article
Neurosciences
Chia-Ming Shih, Hsin-Chih Lo, Meng-Chi Hsieh, Jyh-Horng Chen
Summary: Functional quantitative susceptibility mapping (fQSM) was introduced in this study to complement BOLD-fMRI in quantitatively assessing local susceptibility and venous oxygen saturation (SvO(2)). Results showed that the susceptibility change of fQSM was four times larger than the BOLD signal change, with more restricted activation responses in the visual pathway compared to BOLD. This study demonstrated the feasibility, sensitivity, and specificity of fQSM, providing quantitative clues and localized information in small animal brains.
Article
Neurosciences
Negin Yaghmaie, Warda T. Syeda, Chengchuan Wu, Yicheng Zhang, Tracy D. Zhang, Emma L. Burrows, Amy Brodtmann, Bradford A. Moffat, David K. Wright, Rebecca Glarin, Scott Kolbe, Leigh A. Johnston
Summary: QSMART is a post processing pipeline that reduces streaking artifacts and improves tissue contrast in QSM maps, achieving successful reduction of streaking artifacts while maintaining voxels within regions of interest through two-stage parallel inversion.
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
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)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiejun Chen, Yixian Guo, Yinglong Guo, Mengmeng Jiang, Yunfei Zhang, Yongming Dai, Xiuzhong Yao
Summary: This study evaluated the clinical potential of a set of new diffusion parameters derived from fractional order calculus (FROC) diffusion model in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC). The results showed that these parameters can serve as noninvasive quantitative imaging markers for preoperatively predicting the MVI status of HCCs.
MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Huanhuan Chong, Yuda Gong, Yunfei Zhang, Yongming Dai, Ruofan Sheng, Mengsu Zeng
Summary: This study investigates the use of preoperative EOB-MRI-based radiomics to predict GPC3-positive expression and recurrence-free survival in patients with HCC < 5 cm. A comprehensive nomogram incorporating GPC3-oriented radiomics models is developed and found to outperform clinicoradiologic algorithms. The radiomics score is also found to be correlated with the histological GPC3-positive phenotype and survival outcomes.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yanjin Qin, Caili Tang, Qilan Hu, Yunfei Zhang, Jingru Yi, Yongming Dai, Tao Ai
Summary: The study found that RSI technology can differentiate between benign and malignant breast lesions, and is associated with prognostic factors for breast cancer. RSI-derived parameters can help in the differentiation of breast cancer, and combining them with ADC improves diagnostic performance.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Liyun Zheng, Chun Yang, Liang Liang, Shengxiang Rao, Yongming Dai, Mengsu Zeng
Summary: This study aimed to explore the feasibility of pancreatic imaging at 5 T and evaluate the practical improvement of T2-weighted MRI and diffusion-weighted imaging (DWI) at 5 T as compared with 3 T. The results showed that imaging at 5 T provided higher image quality ratings and SNR compared to 3 T for both T2-weighted and DWI images. However, there were no significant differences in the mean ADC values and CV of ADC between 3 T and 5 T measurements.
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhang Shi, Xueying Zhao, Shuo Zhu, Xiyin Miao, Yunfei Zhang, Shihong Han, Bei Wang, Boyu Zhang, Xiaodan Ye, Yongming Dai, Caizhong Chen, Shengxiang Rao, Jiang Lin, Mengsu Zeng, He Wang
Summary: This study evaluated the image quality and cerebrovascular visualization of 5-T 3D TOF MRA for visualizing intracranial small branch arteries. The results showed that 5-T MRA had significantly better visualization of distal arteries and small vessels compared to 3 T MRA. There was no significant difference in image quality and quantitative measurements between 5 T and 7 T.
Article
Radiology, Nuclear Medicine & Medical Imaging
Chunhong Wang, Guanying Wang, Yunfei Zhang, Yongming Dai, Dan Yang, Changfu Wang, Jianhong Li
Summary: The feasibility of using three diffusion parameters derived from fractional-order calculus diffusion model in differentiating benign and malignant breast lesions was assessed in this study. Results showed significant differences between ADC and FROC parameters in benign and malignant lesions. A comprehensive prediction model was created and ROC curve analysis revealed improved performance in differentiating benign and malignant lesions compared to individual parameters.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fang Liu, Wentao Hu, Yawen Sun, Yiwei Shen, Wenyan Zhou, Yongming Dai, Leyi Gu, Minfang Zhang, Yan Zhou
Summary: This study investigated the use of DR-CSI to evaluate the severity of renal interstitial fibrosis. The results showed that DR-CSI can help distinguish patients with moderate or severe fibrosis from mild ones.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shanshan Gao, Yunfei Zhang, Wei Sun, Kaipu Jin, Yongming Dai, Feihang Wang, Xianling Qian, Jing Han, Ruofan Sheng, Mengsu Zeng
Summary: This study developed an MR elastography (MRE)-based nomogram for the preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC), which showed good diagnostic performance and clinical usefulness.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Clinical Neurology
He Sui, Yu Gong, Lin Liu, Zhongwen Lv, Yunfei Zhang, Yongming Dai, Zhanhao Mo
Summary: The purpose of this study was to evaluate and compare the image quality and diagnostic accuracy of Artificial Intelligence-assisted Compressed Sensing (ACS) sequences for lumbar disease. The results showed that ACS accelerated sequences not only reduced the scanning time by 18.9%, but also retained basically the same image quality as the routine 2D sequences in both healthy subjects and patients.
JOURNAL OF PAIN RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Liyun Zheng, Chun Yang, Ruofan Sheng, Shengxiang Rao, Lifang Wu, Mengsu Zeng, Yongming Dai
Summary: A noninvasive model was developed to measure interstitial fluid pressure (IFP) and interstitial fluid velocity (IFV) in hepatocellular carcinoma (HCC), and this model was used to characterize the microvascular invasion (MVI) status. Specific IFP and IFV parameters derived from this model showed significant association with the MVI status.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Ke Lv, Yanzhen Liu, Yongsheng Chen, Sagar Buch, Ying Wang, Zhuo Yu, Huiying Wang, Chenxi Zhao, Dingwei Fu, Huapeng Wang, Beini Wang, Shengtong Zhang, Yu Luo, E. Mark Haacke, Wen Shen, Chao Chai, Shuang Xia
Summary: The purpose of this study was to investigate the total iron burden of cerebral microbleeds (CMBs) and its effect on brain atrophy through the mediating effect of white matter hyperintensities (WMH). The results showed that periventricular WMH might be a risk factor for the presence of CMBs and could mediate the effect of CMBs on brain atrophy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoqing Wang, Yongming Dai, Hai Lin, Jiahui Cheng, Yiming Zhang, Mengqiu Cao, Yan Zhou
Summary: This study evaluates the clinical value of shape-related features combined with textural features based on conventional MRI in assessing the aggressiveness of pituitary adenomas and developing a diagnostic model. The radiomic model based on tumor shape and textural features from CE-T1WI may potentially assist in the preoperative aggressiveness diagnosis of pituitary adenomas, with a sensitivity of 94.4% and a specificity of 82.9% in discriminating between aggressive and non-aggressive tumors in the testing set.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ke Wang, Xinying Li, Jing Liu, Xiaochao Guo, Wei Li, Xinming Cao, Junzhe Yang, Ke Xue, Yongming Dai, Xiaoying Wang, Jianxing Qiu, Naishan Qin
Summary: This study compared the image quality of breath-hold magnetic resonance cholangiopancreatography (BH-MRCP) and respiratory-gating MRCP (RG-MRCP), and found that BH-MRCP performed better in visualizing bile ducts and overall image quality. Respiratory conditions had a significant impact on MRCP image quality, and parameters derived from the breathing curve could help predict the image quality of both sequences.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiejun Chen, Dingxia Liu, Yixian Guo, Yunfei Zhang, Yinglong Guo, Mengmeng Jiang, Yongming Dai, Xiuzhong Yao
Summary: The study suggests that DKI can be used to identify CK19-positive HCC, and the measurement of MD value can serve as a quantitative biomarker for predicting CK19-positive HCC.
ABDOMINAL RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mengqiu Cao, Xiaoqing Wang, Fang Liu, Ke Xue, Yongming Dai, Yan Zhou
Summary: This study explored the performance of a three-component diffusion model in evaluating the degree of malignancy and IDH-1 gene type of gliomas. The results showed that the three-component DWI model can serve as a useful biomarker for detecting microstructural features in gliomas with different grades and IDH-1 mutation statuses.
EUROPEAN RADIOLOGY
(2023)
