Article
Computer Science, Information Systems
Ali Imran Sandhu, Abdulla Desmal, Hakan Bagci
Summary: An efficient nonlinear contrast source inversion scheme is proposed for electromagnetic imaging of sparse two-dimensional investigation domains, tackling non-linearity using the NLW iterations and incorporating a self-adaptive projected accelerated steepest descent (A-PASD) algorithm for enhanced efficiency. The results demonstrate the accuracy, efficiency, and applicability of the proposed scheme.
Article
Chemistry, Analytical
Jiyo S. Athertya, Yajun Ma, Amir Masoud Afsahi, Alecio F. Lombardi, Dina Moazamian, Saeed Jerban, Sam Sedaghat, Hyungseok Jang
Summary: In this study, the feasibility of accelerated quantitative Ultrashort Echo Time Cones imaging with compressed sensing reconstruction was investigated. The results showed that compressed sensing reconstruction dramatically reduced artifacts and improved image quality, making it a promising technique for fast clinical scans.
Article
Multidisciplinary Sciences
Olivia C. Sehl, Paula J. Foster
Summary: MPI and F-19 MRI can both be used for quantification of labeled cells, with MPI potentially being more sensitive for cell tracking.
SCIENTIFIC REPORTS
(2021)
Review
Biochemistry & Molecular Biology
Katarzyna Staszak, Karolina Wieszczycka, Anna Bajek, Maciej Staszak, Bartosz Tylkowski, Krzysztof Roszkowski
Summary: According to the World Health Organization (WHO), cancer is the second leading cause of death globally. This review focuses on recent developments of chemical compounds in cancer angiogenesis imaging and monitoring, providing insights into active agents structures involved in various imaging techniques. The aim is to provide the journal audience with a comprehensive understanding of chemistry policy in tumor angiogenesis imaging.
BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Patricia M. Johnson, Angela Tong, Awani Donthireddy, Kira Melamud, Robert Petrocelli, Paul Smereka, Kun Qian, Mahesh B. Keerthivasan, Hersh Chandarana, Florian Knoll
Summary: The study utilized a variational network (VN) for image reconstruction to accelerate prostate MRI exams, showing that diagnostic biparametric prostate MRI exams can be performed in less than 4 minutes using deep learning methods, potentially enabling rapid screening prostate MRI.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Computer Science, Artificial Intelligence
Alper Gungor, Salman U. H. Dar, Saban Ozturk, Yilmaz Korkmaz, Hasan A. Bedel, Gokberk Elmas, Muzaffer Ozbey, Tolga Cukur
Summary: AdaDiff, the first adaptive diffusion prior for MRI reconstruction, is proposed to improve performance and reliability against domain shifts. It leverages an efficient diffusion prior trained via adversarial mapping over large reverse diffusion steps. A two-phase reconstruction, including a rapid-diffusion phase and an adaptation phase, is executed to refine the result by updating the prior to minimize data-consistency loss.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Medicine, General & Internal
Jun Lv, Chengyan Wang, Guang Yang
Summary: In this study, a PIC-GAN model combining PI and GAN was proposed for accelerated multi-channel MRI reconstruction. By integrating data fidelity, regularization terms, and combining adversarial loss with pixel-wise loss, the PIC-GAN showed superior reconstruction performance in terms of reducing noise level and improving structure similarity of the reconstructed images. Compared to other conventional and state-of-the-art methods, PIC-GAN yielded the lowest Normalized Mean Square Error and the highest Peak Signal to Noise Ratio at a high level of under-sampling factor.
Article
Computer Science, Interdisciplinary Applications
Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu
Summary: Accelerated multi-modal magnetic resonance (MR) imaging is a new and effective solution for fast MR imaging. The proposed multi-modal transformer (MTrans) utilizes improved transformers and a cross attention module to capture deep multi-modal features at multiple scales. MTrans outperforms state-of-the-art methods in various accelerated multi-modal MR imaging tasks.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Akos Varga-Szemes, Moritz Halfmann, U. Joseph Schoepf, Ning Jin, Anton Kilburg, Danielle M. Dargis, Christoph Duber, Amir Ese, Gilberto Aquino, Fei Xiong, Karl-Friedrich Kreitner, Michael Markl, Tilman Emrich
Summary: This study compared conventional and compressed sensing (CS) based highly accelerated 4D flow imaging in intracardiac flow measurements. The results showed that CS acceleration significantly reduced the acquisition time and had good agreement with conventional acceleration in most measurements. However, CS technique showed underestimation errors in diastolic function evaluation.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Review
Engineering, Biomedical
Yihang Zhou, Haifeng Wang, Congcong Liu, Binyu Liao, Ye Li, Yanjie Zhu, Zhangqi Hu, Jianxiang Liao, Dong Liang
Summary: Three-dimensional MRI is becoming increasingly popular in clinical applications due to its improved through-plane spatial resolution, which enhances the detection of subtle abnormalities and provides valuable clinical information. However, the long data acquisition time and high computational cost present significant challenges. This comprehensive review summarizes the latest advancements in accelerated 3D MR techniques, covering over 200 research studies conducted in the past 20 years, and explores the development of MR signal excitation and encoding, advancements in reconstruction algorithms, and potential clinical applications.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Banafshe Shafieizargar, Ben Jeurissen, Dirk H. J. Poot, Stefan Klein, Johan Van Audekerke, Marleen Verhoye, Arnold J. den Dekker, Jan Sijbers
Summary: This article introduces a novel imaging and parameter estimation framework for accurate multi-shot diffusion MRI. The proposed framework, called ADEPT, enables fast diffusion MRI by allowing diffusion contrast settings to change between shots in a multi-shot EPI acquisition. ADEPT estimates diffusion parameter maps directly from the acquired k-space data and simultaneously accounts for shot-to-shot phase inconsistencies. Simulation and real-data experiments demonstrate that ADEPT provides more accurate and precise estimates of diffusion metrics compared to reference methods.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Banafshe Shafieizargar, Riwaj Byanju, Jan Sijbers, Stefan Klein, Arnold J. den Dekker, Dirk H. J. Poot
Summary: This article systematically reviews the techniques for addressing undersampling artifacts in accelerated quantitative magnetic resonance imaging (qMRI). A literature search was conducted to identify studies proposing reconstruction techniques for accelerated qMRI published before July 2022. The reviewed studies are categorized based on methodology, and a technical overview of each category is provided. The increasing number of articles proposing new techniques for accelerated qMRI reconstruction indicates the importance of acceleration in qMRI.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Computer Science, Information Systems
Fanwen Wang, Hui Zhang, Fei Dai, Weibo Chen, Shuai Xu, Zidong Yang, Dinggang Shen, Chengyan Wang, He Wang
Summary: A new model, Multiple b-value mOdel-based Residual Network (MORN), was proposed to reconstruct high-resolution DWI images from undersampled k-space data. By incorporating Parallel Imaging (PI) and MUltiplexed Sensitivity-Encoding (MUSE) techniques, the model outperformed conventional reconstruction methods and showed potential in clinical applications on healthy cases and tumor patients.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Optics
Torben L. Purz, Steven T. Cundiff, Eric W. Martin
Summary: Replacing the exponentially-weighted-moving-average low-pass filter with a simple-moving-average filter in a lock-in amplifier significantly reduces data acquisition time, enabling accelerated nonlinear imaging with superior signal-to-noise ratio and suppression of extraneous modulations. The box lock-in performs significantly better than conventional lock-in detection for nonlinear imaging applications when a specific condition relating lock-in time constant and modulation frequencies is met. These results suggest that ultrafast and nonlinear imaging can become a new standard for material characterization.
Article
Multidisciplinary Sciences
Yingying Fan, Meining Chen, Hongyun Huang, Mi Zhou
Summary: This study aimed to compare the diagnostic performance of the traditional single-parameter evaluation (diffusion-weighted imaging, DWI) with the dual-parameter approach (time-resolved angiography with stochastic trajectories, TWIST or golden-angle radial sparse parallel, GRASP) in predicting pathological lymphovascular invasion (pLVI) in rectal cancer. Results showed that the combined analysis of ADC and perfusion parameters (Ktrans) acquired with GRASP had a higher diagnostic performance compared to DWI alone. However, combining GRASP-acquired Kep and TWIST-acquired perfusion parameters (Ktrans or Kep) did not provide any additional benefit. The Ktrans acquired with the GRASP technique improved the diagnostic performance of multiparametric MRI in predicting rectal cancers with pLVI-positive, while TWIST did not achieve the same effect.
SCIENTIFIC REPORTS
(2023)
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
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)
Article
Medicine, General & Internal
Jin Liu, Xiaorui Yin, Hreedi Dev, Xianfu Luo, Jon D. D. Blumenfeld, Hanna Rennert, Martin R. R. Prince
Summary: This study investigates the association between autosomal dominant polycystic kidney disease (ADPKD) and pleural effusion. Pleural effusions were observed in 21% of ADPKD subjects compared to 8% in controls. In a subpopulation controlling for renal function, 25% of ADPKD subjects had pleural effusions compared to 5% of controls.
JOURNAL OF CLINICAL MEDICINE
(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
Martin R. Prince, Hiram Shaish
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Pascal Spincemaille, Martin R. Prince
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Martin R. Prince
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Editorial Material
Medicine, General & Internal
Martin R. Prince, Erin Weiss, Jon D. Blumenfeld
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qihao Zhang, Kyungmouk Steve Lee, Adam D. D. Talenfeld, Pascal Spincemaille, Martin R. R. Prince, Yi Wang
Summary: There is currently no noninvasive method to estimate lung shunting fraction (LSF) in liver tumor patients undergoing Yttrium-90 (Y90) therapy. However, this study proposes the use of noninvasive dynamic contrast enhanced (DCE) MRI with perfusion quantification to predict LSF. Results showed a positive correlation between LSF and quantitative transport mapping (QTM) velocity |u|, and a significant difference in QTM |u|, Kety's K-trans, and Ve between low and high LSF groups.
