Article
Radiology, Nuclear Medicine & Medical Imaging
Sunho Kim, Byungjai Kim, HyunWook Park
Summary: This study proposes a new method to synthesize brain tumor images from healthy brain images, addressing the issue of data scarcity in medical image analysis. By simplifying tumor characteristics and converting them into various realistic brain tumor images, the proposed method significantly improves data augmentation for tasks such as tumor segmentation.
Article
Chemistry, Multidisciplinary
Lu-Jun Luo, Xiu-Mei Liu, Xiao Zhang, Jiao Liu, Yuanyuan Gao, Tong-Yi Sun, Li-Li Li
Summary: In this study, a sensitive and quantitative MRI method was developed to calculate the aggregation degree (α(agg)), which showed a high fitting degree with the gold standard fluorescence method and contributed to enhanced T-1-weighted MR imaging of M2 macrophages in tumors.
Article
Biophysics
Esha Baidya Kayal, Devasenathipathy Kandasamy, Kedar Khare, Sameer Bakhshi, Raju Sharma, Amit Mehndiratta
Summary: The study assessed the efficacy of MRI-based statistical texture analysis in predicting chemotherapy response among patients with osteosarcoma. NGTDM features were found to be useful markers in identifying non-survivors, while GLCM, NGTDM, and RLM features were effective markers for predicting chemotherapeutic response.
NMR IN BIOMEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zheyuan Yi, Yilong Liu, Yujiao Zhao, Linfang Xiao, Alex T. L. Leong, Yanqiu Feng, Fei Chen, Ed X. Wu
Summary: The proposed method reconstructs highly undersampled multicontrast 2D datasets jointly through a low-rank Hankel tensor completion framework. By exploiting shareable information in multicontrast datasets, including correlated image structure, common spatial support, and shared coil sensitivity, the method achieves high acceleration and significantly less residual errors compared to other reconstruction techniques. Additionally, a novel complementary k-space sampling strategy is uniquely applied to Cartesian uniform undersampling in this framework.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Engineering, Biomedical
Louis Marage, Paul-Michael Walker, Julien Boudet, Pierre Fau, Pierre Debuire, Emmanuelle Clausse, Aurelie Petitfils, Leone Aubignac, Stanislas Rapacchi, Igor Bessieres
Summary: The objective of this work was to highlight and characterize a systemic 'star-like' artefact in the low field 0.35 T MRIdian MR-linac system. This artefact is induced by the original split gradients coils design, causing a surjection of the intensity gradient in the Z direction. The artefact appears on sequences with phase encoding in the head-feet direction.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hassan Jassar, An Tai, Xinfeng Chen, Timothy D. D. Keiper, Eric Paulson, Fabienne Lathuiliere, Silvain Beriault, Francois Hebert, Laurence Savard, David T. T. Cooper, Sneha Cloake, X. Allen Li
Summary: This study develops and tests an improved real-time motion monitoring technique for accurate motion management during radiation therapy. The results show that the technique can achieve accurate motion monitoring on MR-Linac without using contrast agents or radio-opaque implants.
Article
Oncology
Rabea Klaar, Moritz Rabe, Thomas Gaass, Moritz J. Schneider, Ilyes Benlala, Chukwuka Eze, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz, Julien Dinkel
Summary: This study aimed to demonstrate the feasibility of Non-uniform Fourier Decomposition (NuFD) MRI as a potential treatment response assessment tool at a 0.35 T MR-Linac and propose two signal normalization strategies to enhance the reproducibility of the results. Ten healthy volunteers were repeatedly scanned and ventilation-and perfusion-weighted maps were generated using NuFD. The results showed that the normalization strategies significantly improved the reproducibility of the ventilation and perfusion maps.
RADIATION ONCOLOGY
(2023)
Article
Oncology
Petra J. van Houdt, Hina Saeed, Daniela Thorwarth, Clifton D. Fuller, William A. Hall, Brigid A. McDonald, Amita Shukla-Dave, Ernst S. Kooreman, Marielle E. P. Philippens, Astrid L. H. M. W. van Lier, Rick Keesman, Faisal Mahmood, Catherine Coolens, Teodor Stanescu, Jihong Wang, Neelam Tyagi, Andreas Wetscherek, Uulke A. van der Heide
Summary: QIBs derived from MRI techniques have the potential for personalized cancer treatment, with MRI-guided radiotherapy systems allowing for high-frequency imaging and reduced patient burden. Understanding the correlation between QIBs collected during MRIgRT and clinical outcomes is crucial, as technical validation plays an important role in this process.
EUROPEAN JOURNAL OF CANCER
(2021)
Article
Engineering, Biomedical
Stefan E. Zijlema, Woutjan Branderhorst, Remco Bastiaannet, Rob H. N. Tijssen, Jan J. W. Lagendijk, Cornelis A. T. van den Berg
Summary: This study investigated the use of 1.5 T MR-linac (MRL) receive arrays for PET/MRI, and evaluated their impact on PET sensitivity and image reconstructions. Results showed that MRL arrays can significantly reduce PET signal losses, with the prototype MRL array allowing flexible positioning without compromising PET or MRI performance.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Medicine, General & Internal
David A. P. Dunkerley, Daniel E. Hyer, Jeffrey E. Snyder, Joel J. St-Aubin, Carryn M. Anderson, Joseph M. Caster, Mark C. Smith, John M. Buatti, Sridhar Yaddanapudi
Summary: MRgART provides benefits for cancer patients through enhanced imaging technology during treatment, but also faces challenges. This paper presents an institution's experience in developing a MRgART program and provides considerations for treating patients at different anatomical sites.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Engineering, Biomedical
Can Wu, Victor Murray, Syed S. Siddiq, Neelam Tyagi, Marsha Reyngold, Christopher Crane, Ricardo Otazo
Summary: This study developed a real-time 4D MRI technique using MR signature matching (MRSIGMA) for volumetric motion imaging in patients with pancreatic cancer on a 1.5T MR-Linac system. Two consecutive MRI scans were performed and the results showed that MRSIGMA had high accuracy and low uncertainty in real-time motion tracking.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Oncology
Jonas Habrich, Simon Boeke, Marcel Nachbar, Konstantin Nikolaou, Fritz Schick, Cihan Gani, Daniel Zips, Daniela Thorwarth
Summary: This study assessed the repeatability of ADC derived from EPI DW-MRI in HNC using a 1.5T MR-Linac. The results demonstrated good repeatability of ADC values, suggesting its potential use in future biologically adapted MR-guided radiotherapy.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kanghyun Ryu, Jae-Hun Lee, Yoonho Nam, Sung-Min Gho, Ho-Sung Kim, Dong-Hyun Kim
Summary: The study developed a multicontrast reconstruction method based on joint parallel imaging (JPI) and joint deep learning (JDL) to accelerate synthetic MRI. Results showed that the proposed method had lower nRMSE and higher SSIM values compared to using JPI and JDL individually, demonstrating the potential for highly accelerated synthetic MRI reconstruction.
Review
Chemistry, Multidisciplinary
Stanley Harvell-Smith, Le Duc Tung, Nguyen Thi Kim Thanh
Summary: Magnetic particle imaging (MPI) is a novel tracer-based imaging technique that allows real-time three-dimensional imaging with high sensitivity, no radiation, and absolute quantification; with features such as high contrast and zero signal attenuation at depth, MPI can image any part of the body, enabling a wide range of biomedical applications.
Article
Mathematics, Applied
Xiujie Shan, Martin B. van Gijzen
Summary: This study explores efficient implicit methods for denoising low-field MR images using a nonlinear diffusion operator as a regularizer. Different preconditioners combined with subdomain deflation are evaluated for their performance with different diffusion models. It is found that a suitable preconditioner can significantly reduce the time needed for denoising three-dimensional images, making it practical for real-world applications.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yongsheng Chen, Daniel Moiseev, Wan Yee Kong, Alexandar Bezanovski, Jun Li
Summary: In this study, a deep learning model was applied to automate the segmentation of muscle MRI images for quantifying individual muscle fat fraction in patients with peripheral neuropathies. The automated results showed good agreement with manual results in quantifying the fat fraction for individual muscles, indicating the potential of using this method in longitudinal studies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Feifei Qu, Taotao Sun, Yongsheng Chen, Brijesh Kumar Yadav, Ling Jiang, Zhaoxia Qian, E. Mark Haacke
Summary: The study utilized STAGE imaging to estimate tissue properties in the fetal brain, finding that the ratios of T-1app and PDapp in different regions varied, indicating the potential utility of STAGE imaging for assessing fetal brain properties.
EUROPEAN RADIOLOGY
(2021)
Article
Neurosciences
Naying He, Kiarash Ghassaban, Pei Huang, Mojtaba Jokar, Ying Wang, Zenghui Cheng, Zhijia Jin, Yan Li, Sean K. Sethi, Yixi He, Yongsheng Chen, Sara Gharabaghi, Shengdi Chen, Fuhua Yan, E. Mark Haacke
Summary: Diagnosing early stage Parkinson's disease remains a clinical challenge. This study aimed to explore the utility of using multiple imaging biomarkers for early stage PD diagnosis, finding that NM and SN volumes were lower while iron content was higher in the SN for PD subjects. The N1 sign performed well, but combining it with NM and iron measures provided a better physiological explanation for its disappearance in PD subjects.
Article
Clinical Neurology
Soumya Sharma, Sean Kumar Sethi, David Reese, Sara Gharabaghi, Kiran Kumar Yerramsetty, Vinay Kumar Palutla, Yongsheng Chen, E. Mark Haacke, Mandar S. Jog
Summary: This study finds abnormal brain iron deposition in patients with HH without liver failure using magnetic resonance imaging. A significant proportion of these patients also exhibit movement disorders. Peripheral iron measurements do not correlate with brain iron deposition. Therefore, routine neurological examination and quantitative brain iron imaging are recommended for all HH patients.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Medicine, General & Internal
Ewart Mark Haacke, Evanthia Bernitsas, Karthik Subramanian, David Utriainen, Vinay Kumar Palutla, Kiran Yerramsetty, Prashanth Kumar, Sean K. Sethi, Yongsheng Chen, Zahid Latif, Pavan Jella, Sara Gharabaghi, Ying Wang, Xiaomeng Zhang, Robert A. Comley, John Beaver, Yanping Luo
Summary: Magnetic resonance imaging (MRI) is a critical imaging technique for diagnosing multiple sclerosis (MS) and evaluating drug treatment effects. This study compared different MRI measures and evaluated the repeatability of various imaging methods in healthy controls. The results suggest that a practical and efficient imaging protocol combining T2 FLAIR, T1WI, and STAGE (with SWI and QSM) can rapidly image MS patients to find lesions and study their demyelinating and inflammatory characteristics.
Meeting Abstract
Genetics & Heredity
Sadaf Saba, Xue Yang, Mariam Tariq, Karen Krajewski, Vince Marceau, Ryan Castoro, Yongsheng Chen, Bo Hu, Jun Li
GENETICS IN MEDICINE
(2022)
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
Clinical Neurology
S. K. Sethi, S. Sharma, S. Gharabaghi, D. Reese, Y. Chen, P. Adams, M. S. Jog, E. M. Haacke
Summary: Patients with hereditary hemochromatosis showed elevated brain iron levels compared to healthy controls in both quantitative susceptibility mapping and R2* mapping, particularly in regions like the caudate nucleus, putamen, pulvinar thalamus, red nucleus, and dentate nucleus in the deep gray matter.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Naying He, Yongsheng Chen, Peter A. LeWitt, Fuhua Yan, E. Mark Haacke
Summary: This article discusses the use of MRI in developing biomarkers for movement disorders such as Parkinson disease and highlights the importance of neuromelanin and brain iron in improving diagnostic capabilities and monitoring disease progression. It also explores the potential advances in NM imaging methods and the role of NM-related biomarkers in enhancing diagnostic capabilities in Parkinson disease.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Letter
Radiology, Nuclear Medicine & Medical Imaging
Naying He, Yongsheng Chen, Peter A. LeWitt, Fuhua Yan, Ewart Mark Haacke
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yongsheng Chen, Jacob Baraz, Stephanie Yan Xuan, Xue Yang, Ryan Castoro, Yang Xuan, Alison R. Roth, Richard D. Dortch, Jun Li
Summary: This study developed a multiparametric quantitative magnetic resonance imaging (qMRI) method for evaluating peripheral nerves in the leg. The results showed that this method has high reproducibility in measuring pathological changes in nerves, which is important for future development of biomarkers for tracking pathologies in patients with polyneuropathies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiani Hu, Yimin Shen, Lara M. Fahmy, Satish Krishnamurthy, Jie Li, Li Zhang, Yongsheng Chen, E. Mark Haacke, Quan Jiang
Summary: Using MRI imaging techniques, this study investigated the role of the parenchymal vascular system in the clearance of cerebrospinal fluid tracers. The results showed that the tracers mainly accumulated in the cerebral venous vessels, suggesting the direct participation of the parenchymal vascular system in waste clearance.
EUROPEAN RADIOLOGY
(2023)
Meeting Abstract
Clinical Neurology
Sagar Buch, Pavan K. Jella, Yongsheng Chen, Peter LeWitt, Yulin Ge, E. Mark Haacke
MOVEMENT DISORDERS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Naying He, Bo Wu, Yu Liu, Chunyan Zhang, Jingliang Cheng, Bingbing Gao, Yanwei Miao, Wenjun Wu, Lixia Wang, Rongqing Sun, Wenbo Sun, Haibo Xu, Yan Bai, Meiyun Wang, Chao Chai, Shuang Xia, Qiao Zheng, Yongmei Li, Yan Qin, Weihua Liao, Yongsheng Chen, Mojtaba Jokar, Ying Wang, Fuhua Yan, E. Mark Haacke
Summary: Developing imaging biomarkers is crucial for studying Parkinson's disease and movement disorders. The STAGE imaging method has the potential to extract multiple biomarkers and provide standardization for neuroimaging, increasing the number of patients studied and testing imaging biomarker hypotheses.
CHINESE JOURNAL OF ACADEMIC RADIOLOGY
(2022)
Meeting Abstract
Clinical Neurology
Yongsheng Chen, Daniil Moiseev, Wan Yee Kong, Alexandar Bezanovski, Jun Li