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DeepFLAIR: A neural network approach to mitigate signal and contrast loss in temporal lobes at 7 Tesla FLAIR images Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-15 Daniel Uher, Gerhard S. Drenthen, Benedikt A. Poser, Paul A.M. Hofman, Louis G. Wagner, Rick H.G.J. van Lanen, Christianne M. Hoeberigs, Albert J. Colon, Olaf E.M.G. Schijns, Jacobus F.A. Jansen, Walter H. Backes
Higher magnetic field strength introduces stronger magnetic field inhomogeneities in the brain, especially within temporal lobes, leading to image artifacts. Particularly, T2-weighted fluid-attenuated inversion recovery (FLAIR) images can be affected by these artifacts. Here, we aimed to improve the FLAIR image quality in temporal lobe regions through image processing of multiple contrast images via
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Deep learning-based compressed SENSE improved diffusion-weighted image quality and liver cancer detection: A prospective study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-09 Ting Duan, Zhen Zhang, Yidi Chen, Mustafa R. Bashir, Emily Lerner, YaLi Qu, Jie Chen, Xiaoyong Zhang, Bin Song, Hanyu Jiang
To assess whether diffusion-weighted imaging (DWI) with Compressed SENSE (CS) and deep learning (DL-CS-DWI) can improve image quality and lesion detection in patients at risk for hepatocellular carcinoma (HCC). This single-center prospective study enrolled consecutive at-risk participants who underwent 3.0 T gadoxetate disodium-enhanced MRI. Conventional DWI was acquired using parallel imaging (PI)
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Gadolinium-based contrast agents aggravate mechanical and thermal hyperalgesia in a nitroglycerine-induced migraine model in male mice Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-09 Batuhan Bilgin, Muhammed Adam, Munevver Gizem Hekim, Ferah Bulut, Mete Ozcan
In the diagnosis of migraine, which is a neurovascular disease, gadolinium-based contrast agents (GBCAs) are used to rule out more serious conditions. On the other hand, it remains unclear as a scientific gap whether GBCAs may trigger migraine-related pain. The aim of this study was to investigate the effect of GBCAs on mechanical and thermal pain behaviour in a nitroglycerin (NTG)-induced migraine
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Turbo spin-echo-based enhanced acceleration-selective arterial spin labeling without electrocardiography or peripheral pulse unit triggering and contrast enhancement for lower extremity MRA Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-09 Natsuo Konta, Shuhei Shibukawa, Tomohiko Horie, Tetsu Niwa, Makoto Obara, Takashi Okazaki, Yui Kawamura, Toshiaki Miyati
Lower extremity magnetic resonance angiography (MRA) without electrocardiography (ECG) or peripheral pulse unit (PPU) triggering and contrast enhancement is beneficial for diagnosing peripheral arterial disease (PAD) while avoiding synchronization failure and nephrogenic systemic fibrosis. This study aimed to compare the diagnostic performance of turbo spin-echo-based enhanced acceleration-selective
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2D CAIPI accelerated 3D multi-slab diffusion weighted EPI combined with qModeL reconstruction for fast high resolution microstructure imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-08 Chu-Yu Lee, Merry Mani
To develop acceleration strategies for 3D multi-slab diffusion weighted imaging (3D ms-DWI) for enabling applications that require simultaneously high spatial (1 isotropic) and angular (> 30 directions) resolutions. 3D ms-DWI offers high SNR-efficiency, with the ability to achieve high isotropic spatial resolution, yet suffers from long scan-times for studies requiring high angular resolutions. We
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Delineation of the internal iliac vein using MRI with true FISP sequence in patients with locally recurrent rectal cancer: A pilot study using CT/MRI fusion Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-07 Wataru Jomoto, Kei Kimura, Masato Kiriki, Masashi Koizumi, Hotaka Nakagiri, Daisuke Nakashima, Yusuke Kawanaka, Kazuhiro Kitajima, Haruyuki Takaki, Naohito Beppu, Kozo Kataoka, Masataka Ikeda, Koichiro Yamakado
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Exercise-induced calf muscle hyperemia quantified with dynamic blood oxygen level-dependent (BOLD) imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-04 Yujie Wang, Wanning Zeng, Chang Ni, Xiangwei Kong, Xin Mu, Christopher C. Conlin, Haikun Qi, Jeff L. Zhang
Muscle hyperemia in exercise is usually the combined result of increased cardiac output and local muscle vasodilation, with the latter reflecting muscle's capacity for increased blood perfusion to support exercise. In this study, we aim to quantify muscle's vasodilation capability with dynamic BOLD imaging. A deoxyhemoglobin-kinetics model is proposed to analyze dynamic BOLD signals acquired during
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The impact of audiovisual breathing guidance on respiratory-triggered cardiac magnetic resonance cine imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-03 Daniel A. Castellanos, Jihye Jang, David N. Schidlow, Kinsey Brassaw, Stephanie Agudelo, Annerieke Heuvelink-Marck, Stuart R. Lipsitz, Andrew J. Powell
In patients who have difficulty holding their breath, a free breathing (FB) respiratory-triggered (RT) bSSFP cine technique may be used. However, this technique may have inferior image quality and a longer scan time than breath-hold (BH) bSSFP cine acquisitions. This study examined the effect of an audiovisual breathing guidance (BG) system on RT bSSFP cine image quality, scan time, and ventricular
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Value of ultra-high b-value diffusion-weighted imaging for the evaluation of renal ischemia-reperfusion injury Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-03 Zhaoyu Xing, Liang Pan, Anding Yu, Jinggang Zhang, Congsong Dong, Jie Chen, Wei Xing, Xiaozhou He, Zhiping Zhang
To explore the feasibility of ultra-high b-value diffusion-weighted imaging (DWI) in assessment of renal IRI. Thirty-five rabbits were randomized into a control group ( = 7) and a renal IRI group ( = 28). The rabbits in the renal IRI group underwent left renal artery clamping for 60 min. Rabbits underwent axial DWI before and at 1, 12, 24, and 48 h after IRI. Apparent diffusion coefficient (ADC) were
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Machine learning-based automated scan prescription of lumbar spine MRI acquisitions Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-03 Eugene Ozhinsky, Felix Liu, Valentina Pedoia, Sharmila Majumdar
High quality scan prescription that optimally covers the area of interest with scan planes aligned to relevant anatomical structures is crucial for error-free radiologic interpretation. The goal of this project was to develop a machine learning pipeline for oblique scan prescription that could be trained on localizer images and metadata from previously acquired MR exams. A novel Multislice Rotational
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A mathematical model for temporal cerebral blood flow response to acetazolamide evaluated in patients with Moyamoya disease Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-04-02 Markus Fahlström, Joao M. Sousa, Teodor Svedung Wettervik, Johan Berglund, Per Enblad, Anders Lewén, Johan Wikström
Background: Paired cerebral blood flow (CBF) measurement is usually acquired before and after vasoactive stimulus to estimate cerebrovascular reserve (CVR). However, CVR may be confounded because of variations in time-to-maximum CBF response (t) following acetazolamide injection. With a mathematical model, CVR can be calculated insensitive to variations in t, and a model offers the possibility to calculate
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The application value of 3D ASL in evaluating the effectiveness of stent implantation for vertebrobasilar artery stenosis Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-28 Xiao-Yue Cheng, Peng-Gang Qiao, Bin Jiang, Ting-Ting Zhang, Wen He
To evaluate the effect of stent implantation for vertebrobasilar artery stenosis,by using 3D arterial spin labeling (3D ASL) technique. A retrospective analysis was conducted on the clinical and 3D ASL data of 48 patients who underwent vertebral-basilar artery stenting. Post-labeling delay times (PLD) of 1.5 s and 2.5 s were chosen, and the average regional cerebral blood flow (rCBF) values were measured
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Three-dimensional texture analyses of multi-quantitative relaxation time maps for evaluating cartilage repair with the treatment of allogeneic human adipose-derived mesenchymal progenitor cells Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-27 Xinxin Zhao, Jingjing Ruan, Jia Li, Chengxiang Dai, Mengchao Pei, Yan Zhou
To explore the ability of three-dimensional texture analyses based on gray-level run-length matrix (GLRLM) for examining the spatial distribution of pixel values on magnetic resonance imaging (MRI) relaxation time maps and detecting the compositional variation of cartilage repair following treatment with allogeneic human adipose-derived mesenchymal progenitor cells (haMPCs). Participants with knee
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Dynamic parallel transmit diffusion MRI at 7T Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-26 Minghao Zhang, Belinda Ding, Iulius Dragonu, Patrick Liebig, Christopher T. Rodgers
Diffusion MRI (dMRI) is inherently limited by SNR. Scanning at 7 T increases intrinsic SNR but 7 T MRI scans suffer from regions of signal dropout, especially in the temporal lobes and cerebellum. We applied dynamic parallel transmit (pTx) to allow whole-brain 7 T dMRI and compared with circularly polarized (CP) pulses in 6 subjects.
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A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-26 Zhengxin Wang, Daniel B. Rowe, Xinyi Li, D. Andrew Brown
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Induced saturation transfer recovery steady states (iSTRESS) for proton exchange rate mapping with CEST MRI, a preliminary study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-24 Mehran Shaghaghi, Frederick C. Damen, Weiguo Li, Leon M. Tai, Kejia Cai
Proton exchange underpins essential mechanisms in diverse MR imaging contrasts. Omega plots have proven effective in mapping proton exchange rates () in live human brains, enabling the differentiation of MS lesion activities and characterization of ischemic stroke. However, Omega plots require extended saturation durations (typically 5 to 10 s), resulting in high specific absorption rates (SAR) that
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Consistent spatial lesion-symptom patterns: A comprehensive analysis using triangulation in lesion-symptom mapping in a cohort of stroke patients Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-24 Gabriel Ramirez-Garcia, Ximena Escutia-Macedo, Douglas J. Cook, Talia Moreno-Andrade, Estefania Villarreal-Garza, Mario Campos-Coy, Guillermo Elizondo-Riojas, Fernando Gongora-Rivera, Eduardo A. Garza-Villarreal, Juan Fernandez-Ruiz
The relationship between brain lesions and stroke outcomes is crucial for advancing patient prognosis and developing effective therapies. Stroke is a leading cause of disability worldwide, and it is important to understand the neurological basis of its varied symptomatology. Lesion-symptom mapping (LSM) methods provide a means to identify brain areas that are strongly associated with specific symptoms
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Fully automated contrast selection of joint bright- and black-blood late gadolinium enhancement imaging for robust myocardial scar assessment Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-23 Victor de Villedon de Naide, Jean-David Maes, Manuel Villegas-Martinez, Indra Ribal, Aurélien Maillot, Valéry Ozenne, Géraldine Montier, Thibaut Boullé, Soumaya Sridi, Pauline Gut, Thomas Küstner, Matthias Stuber, Hubert Cochet, Aurélien Bustin
Joint bright- and black-blood MRI techniques provide improved scar localization and contrast. Black-blood contrast is obtained after the visual selection of an optimal inversion time (TI) which often results in uncertainties, inter- and intra-observer variability and increased workload. In this work, we propose an artificial intelligence-based algorithm to enable fully automated TI selection and simplify
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Hippocampal neurometabolic and structural changes from pre-to post-COVID-19: A case-series study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-22 Wouter A.J. Vints, Kristina Valatkevičienė, Oron Levin, Akila Weerasekera, Simonas Jesmanas, Simona Kušleikienė, Vida J. Česnaitienė, Uwe Himmelreich, Jeanine A. Verbunt, Eva-Maria Ratai, Rymantė Gleiznienė, Nerijus Masiulis
Neurological complications of the COVID-19 infection may be caused in part by local neurochemical and structural abnormalities that could not be detected during routine medical examinations. We examined within subject neurometabolic and structural brain alterations from pre-to post-COVID-19 in the hippocampal region of three elderly individuals (aged 63–68 years) who had a COVID-19 infection with mild
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Quantifying cerebral blood flow changes using arterial spin labeling: A comparative study of idiopathic rapid eye movement sleep behavior disorder and Parkinson's disease Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-22 Yuqi Zhi, Mingshen Chen, Chunshan Zhou, Yongxu Yang, Yan Huang, Xiaoyun Liang, Ping Wang, Xiaoyu Cheng, Chengjie Mao, Zhen Jiang, Yakang Dai, Bo Peng, Jiangtao Zhu
Idiopathic rapid eye movement sleep behavior disorder (iRBD) and Parkinson's disease (PD) have been found to have changes in cerebral perfusion and overlap of some of the lesioned brain areas. However, a consensus regarding the specific location and diagnostic significance of these cerebral blood perfusion alternations remains elusive in both iRBD and PD. The present study evaluated the patterns of
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Multi-shell diffusion MRI of the fornix as a biomarker for cognition in Alzheimer's disease Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-21 Ken Sakaie, Katherine Koenig, Alan Lerner, Brian Appleby, Paula Ogrocki, Jagan A. Pillai, Stephen Rao, James B. Leverenz, Mark J. Lowe
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Diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol as a biomarker of placental blood circulation in patients with placenta accreta spectrum disorders: A proof-of-concept study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Tao Lu, Li Wang, Mou Li, Yishuang Wang, Meining Chen, Ben-Heng Xiao, Yì Xiáng J. Wáng
Increasing trend of PAS (placenta accreta spectrum disorders) incidence is a major health concern as PAS is associated with high maternal morbidity and mortality during cesarean section. Prenatal identification of PAS is crucial for delivery planning and patients management. This study aims to explore whether diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol differs
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Quantifying blood-brain barrier permeability in patients with ischemic stroke using non-contrast MRI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Nikolaos Mouchtouris, Isaiah Ailes, Reid Gooch, Christian Raimondo, Yazan Shamli Oghli, Stavropoula Tjoumakaris, Pascal Jabbour, Robert Rosenwasser, Mahdi Alizadeh
Increased blood-brain barrier permeability (BBBP) after ischemic stroke predisposes patients to hemorrhagic conversion. While altered BBBP can impact patient recovery, it is not routinely assessed during the workup of acute ischemic stroke (AIS). We study the effectiveness of the non-contrast MRI sequences diffusion-prepared pseudocontinuous arterial spin labeling (DP-pCASL) and Neurite Orientation
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Characterization of kidneys in patients with systemic sclerosis by multi-parametric magnetic resonance quantitative imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Xinyu Tong, Huilin He, Zihan Ning, Rui Shen, Chenlin Du, Xiaofeng Zeng, Qian Wang, Zuo-Xiang He, Dong Xu, Xihai Zhao
To determine the usefulness of multiparametric magnetic resonance (MR) quantitative imaging in characterizing the kidneys in systemic sclerosis (SSc) patients. Forty-six SSc patients (47.9 ± 12.8 years, 40 females) and 22 age- and sex- matched healthy volunteers (46.1 ± 13.8 years, 20 females) were recruited and underwent renal MR imaging by acquiring blood oxygen level dependent and saturated multi-delay
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Non-contrast magnetic resonance Lymphography and Indocyanine green Lymphography play a complementary role in the management of upper limb lymphedema Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Michaela Cellina
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Phase-sensitive deep reconstruction method for rapid multiparametric MR fingerprinting and quantitative susceptibility mapping in the brain Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Jessica A. Martinez, Victoria Y. Yu, Kathryn R. Tringale, Ricardo Otazo, Ouri Cohen
This study explores the potential of Magnetic Resonance Fingerprinting (MRF) with a novel Phase-Sensitivity Deep Reconstruction Network (PS-DRONE) for simultaneous quantification of T1, T2, Proton Density, B1+, phase and quantitative susceptibility mapping (QSM). Data were acquired at 3 T in vitro and in vivo using an optimized EPI-based MRF sequence. Phantom experiments were conducted using a standardized
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Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Seungeun Lee, Joon-Yong Jung, Heeyoung Chung, Hyun-Soo Lee, Dominik Nickel, Jooyeon Lee, So-Yeon Lee
MRI reconstruction of undersampled data using a deep learning (DL) network has been recently performed as part of accelerated imaging. Herein, we compared DL-reconstructed T2-weighted image (T2-WI) to conventional T2-WI regarding image quality and degenerative lesion detection. Sixty-two patients underwent C-spine ( = 27) or L-spine ( = 35) MRIs, including conventional and DL-reconstructed T2-WI. Image
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Fast and accurate 3-D spine MRI segmentation using FastCleverSeg Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Jonathan S. Ramos, Mirela T. Cazzolato, Oscar C. Linares, Jamilly G. Maciel, Rafael Menezes-Reis, Paulo M. Azevedo-Marques, Marcello H. Nogueira-Barbosa, Caetano Traina Júnior, Agma J.M. Traina
Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for analyzing various spinal diseases. However, traditional methods are either laborious and time-consuming (manual segmentation) or require extensive training data (fully automatic segmentation). FastCleverSeg, our proposed semi-automatic segmentation approach, addresses those limitations by significantly reducing
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Prostate diffusion-weighted imaging (DWI) in MR-guided radiotherapy: Reproducibility assessment on 1.5 T MR-Linac and 1.5 T MR-simulator Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Oi Lei Wong, Jing Yuan, Darren M.C. Poon, Sin Ting Chiu, Bin Yang, George Chiu, Siu Ki Yu, Kin Yin Cheung
Diffusion-weighted imaging (DWI) holds promise for image-guided radiotherapy (MRgRT) in prostate cancer. However, challenges persist due to image distortion, artifacts, and apparent diffusion coefficient (ADC) reproducibility issues. This study aimed to assess DWI image quality and ADC reproducibility on both a 1.5 T MR-simulator and a 1.5 T MR-Linac, employing measurements from both an ACR MRI phantom
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Blind deconvolution decreases requirements on temporal resolution of DCE-MRI: Application to 2nd generation pharmacokinetic modeling Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Jiří Kratochvíla, Radovan Jiřík, Michal Bartoš, Michal Standara, Zenon Starčuk jr., Torfinn Taxt
Dynamic Contrast-Enhanced (DCE) MRI with 2nd generation pharmacokinetic models provides estimates of plasma flow and permeability surface-area product in contrast to the broadly used 1st generation models (e.g. the Tofts models). However, the use of 2nd generation models requires higher frequency with which the dynamic images are acquired (around 1.5 s per image). Blind deconvolution can decrease the
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Fast and accessible T2 mapping using off-resonance corrected DESPOT2 with application to 3D prostate Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Ronal Coronado, Carlos Castillo-Passi, Cecilia Besa, Pablo Irarrazaval
Most T1 and T2 mapping take long acquisitions or needs specialized sequences not widely accessible on clinical scanners. An available solution is DESPOT1/T2 (Driven equilibrium single pulse observation of T1/T2). DESPOT1/T2 uses Spoiled gradient-echo (SPGR) and balanced Steady-State Free Precession (bSSFP) sequences, offering an accessible and reliable way for 3D accelerated T1/T2 mapping. However
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Magnetic resonance elastography as a preoperative assessment for predicting intrahepatic recurrence in patients with hepatocellular carcinoma Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-19 Jeong Hyun Lee, Jeong Ah Hwang, Kyowon Gu, Jaeseung Shin, Seungchul Han, Young Kon Kim
Magnetic resonance elastography (MRE) is a noninvasive tool for diagnosing hepatic fibrosis with high accuracy. We investigated the preoperative clinical and imaging predictors of intrahepatic recurrence after curative resection of hepatocellular carcinoma (HCC), and evaluated MRE as a predictor of intrahepatic recurrence. We retrospectively evaluated 80 patients who underwent preoperative contrast-enhanced
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Evaluation of renal tubular function by multiparametric functional MRI in early diabetes Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-16 Rui Wang, Zhiyong Lin, Shuo Quan, Xuedong Yang, Kai Zhao, Xueqing Sui, Hanjing Kong, Xiaoying Wang, Tao Su
Purpose
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Application of the magnetic resonance 3D multiecho Dixon sequence for quantifying hepatic iron overload and steatosis in patients with thalassemia Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-15 Fanyu Zhao, Yidi Chen, Ting Zhou, Cheng Tang, Jiang Huang, Huiting Zhang, Stephan Kannengiesser, Liling Long
To investigate the feasibility and diagnostic efficacy of a 3D multiecho Dixon (qDixon) research application for simultaneously quantifying the liver iron concentration (LIC) and steatosis in thalassemia patients. This prospective study enrolled participants with thalassemia who underwent 3 T MRI of the liver for the evaluation of hepatic iron overload. The imaging protocol including qDixon and conventional
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DiffGAN: An adversarial diffusion model with local transformer for MRI reconstruction Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-15 Xiang Zhao, Tiejun Yang, Bingjie Li, Aolin Yang, Yanghui Yan, Chunxia Jiao
Magnetic resonance imaging (MRI) is non-invasive and crucial for clinical diagnosis, but it has long acquisition time and aliasing artifacts. Accelerated imaging techniques can effectively reduce the scanning time of MRI, thereby decreasing the anxiety and discomfort of patients. Vision Transformer (ViT) based methods have greatly improved MRI image reconstruction, but their computational complexity
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Development of a suitable vibration pad for renal MR elastography Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-15 Yoshito Ishihara, Tomokazu Numano, Daiki Ito, Hisao Nishijo, Koichi Takamoto, Jo Kikuchi, Shota Konuma, Hiromu Oka
The aim of this study was to develop a vibration pad suitable for renal MR elastography (MRE). Chronic kidney disease (CKD) is a progressive condition affecting >800 million people worldwide. Renal fibrosis is a common pathological feature of CKD that causes fibrotic regions to be much stiffer than those in normal renal tissues. Therefore, MRE can be used to diagnose CKD because it can image organ
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Model-based iterative reconstruction for direct imaging with point spread function encoded echo planar MRI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-13 Nolan K. Meyer, Myung-Ho In, David F. Black, Norbert G. Campeau, Kirk M. Welker, John Huston III, Maria A. Halverson, Matt A. Bernstein, Joshua D. Trzasko
Echo planar imaging (EPI) is a fast measurement technique commonly used in magnetic resonance imaging (MRI), but is highly sensitive to measurement non-idealities in reconstruction. Point spread function (PSF)-encoded EPI is a multi-shot strategy which alleviates distortion, but acquisition of encodings suitable for direct distortion-free imaging prolongs scan time. In this work, a model-based iterative
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Pilot study: A simple CAD-based tool to detect breast cancer on MRI of the breast Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-12 Barbara I. Bennani-Baiti, Michael Weber, Maria Bernathova, Paola Clauser, Panagiotis Kapetas, Katja Pinker, Ramona Woitek, Thomas Helbich, Pascal T.A. Baltzer
This pilot-study aims to assess, whether quantitatively assessed enhancing breast tissue as a percentage of the entire breast volume can serve as an indicator of breast cancer at breast MRI and whether the contrast-agent employed affects diagnostic efficacy. This retrospective IRB-approved study, included 39 consecutive patients, that underwent two subsequent breast MRI exams for suspicious findings
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Thoracic aorta injury detected by 4D flow MRI predicts subsequent main adverse cardiovascular events in breast cancer patients receiving anthracyclines: A longitudinal study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-12 Hesong Shen, Wenqi Zhou, ChunrongTu, Yangling Peng, Xiaoqin Li, Daihong Liu, Xiaoxia Wang, Xiaoyong Zhang, Xiaohua Zeng, Jiuquan Zhang
To investigate longitudinal thoracic aorta injury using 3-dimensional phase-contrast magnetic resonance imaging (4D flow MRI) parameters and to evaluate their value for predicting the subsequent main adverse cardiovascular events (MACEs) in breast cancer patients receiving anthracyclines. Between July 2020 and July 2021, eighty-eight female participants with breast cancer scheduled to receive anthracyclines
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3D MR elastography-based stiffness as a marker for predicting tumor grade and subtype in cervical cancer Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-12 Yuanqiang Xiao, Wenying Chen, Xi Long, Mengsi Li, Lina Zhang, Chang Liu, Ying Deng, Chao Li, Bingjun He, Jun Chen, Jin Wang
Increasing evidence has indicated that high tissue stiffness (TS) may be a potential biomarker for evaluation of tumor aggressiveness. To investigate the value of magnetic resonance elastography (MRE)-based quantitative parameters preoperatively predicting the tumor grade and subtype of cervical cancer (CC). Retrospective. Twenty-five histopathology-proven CC patients and 7 healthy participants. 3
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Novel use of dynamic MR hydrography to rule out esophageal perforation post atrial fibrillation ablation in a patient with anaphylaxis to gadolinium Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-11 Saed Alnaimat, Layla A Nasr, Robert W.W. Biederman
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Prediction of Lymphovascular invasion status in breast cancer based on magnetic resonance imaging radiomics features Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-10 Xinhua Li, Kangwei Luo, Na Zhang, Wubiao Chen, Bin Li, Zhendong Lu, Yixian Chen, Kangwei Wu
This study intended to investigate the feasibility and effectiveness of using clinical magnetic resonance imaging (MRI) radiomics features to predict lymphovascular invasion (LVI) status in breast cancer (BC) patients. A total of 182 BC patients were retrospectively collected and randomly divided into a training set ( = 127) and a validation set ( = 55) in a 7:3 ratio. Based on pathological examination
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Diffusion tensor imaging within the healthy cervical spinal cord: Within- participants reliability and measurement error Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-07 Hussein Al-shaari, Jon Fulford, C.J Heales
Diffusion tensor imaging (DTI) is a promising technique for the visualization of the cervical spinal cord (CSC) in vivo. It provides information about the tissue structure of axonal white matter, and it is thought to be more sensitive than other MR imaging techniques for the evaluation of damage to tracts in the spinal cord. The purpose of this study was to determine the within-participants reliability
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Fast imaging of lenticulostriate arteries by high-resolution black-blood T1-weighted imaging with variable flip angles and acceleration by compressed sensitivity encoding Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-06 Yukun Zhang, Jiajun Cao, Chen Qiao, Bingbing Gao, Wei Du, Liangjie Lin, Na Liu, Qingwei Song, Yanwei Miao
We investigated the feasibility of using compressed sensitivity encoding (CS-SENSE) to accelerate high-resolution black-blood T1-weighted imaging with variable flip angles (T1WI-VFA) for efficient visualization and characterization of lenticulostriate arteries (LSAs) on a 3.0 T MR scanner. Twenty-five healthy volunteers and 18 patients with the cerebrovascular disease were prospectively enrolled. Healthy
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Evaluation of multiplexed sensitivity encoding diffusion-weighted imaging in detecting uterine lesions: Image quality optimization Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-05 Fuxiang Zha, Cui Feng, Jin Xu, Qian Zou, Jiali Li, Daoyu Hu, Weiyin Vivian Liu, Zhen Li, Sisi Wu
To compare the image quality of multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE-DWI) and single-shot echo-planar imaging (SS-EPI-DWI) techniques in uterine MRI. Eighty-eight eligible patients underwent MUSE-DWI and SS-EPI-DWI examinations simultaneously using a 3.0 T MRI system. Two radiologists independently performed quantitative and qualitative analysis of the two groups of images
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High-resolution free-breathing hepatobiliary phase MRI of the liver using XD-GRASP Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-05 Lihua Chen, Jian Xu, Daihong Liu, Bing Ji, Jian Wang, Xianchun Zeng, Jiuquan Zhang, Li Feng
To evaluate the performance of high-resolution free-breathing (FB) hepatobiliary phase imaging of the liver using the eXtra-Dimension Golden-angle RAdial Sparse Parallel (XD-GRASP) MRI technique. Fifty-eight clinical patients (41 males, mean age = 52.9 ± 12.9) with liver lesions who underwent dynamic contrast-enhanced MRI with a liver-specific contrast agent were prospectively recruited for this study
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Feasibility of the application of deep learning-reconstructed ultra-fast respiratory-triggered T2-weighted imaging at 3 T in liver imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-03-02 Kai Liu, Haitao Sun, Xingxing Wang, Xixi Wen, Jun Yang, Xingjian Zhang, Caizhong Chen, Mengsu Zeng
The evaluate the feasibility of a novel deep learning-reconstructed ultra-fast respiratory-triggered T2WI sequence (DL-RT-T2WI) In liver imaging, compared with respiratory-triggered Arms-T2WI (Arms-RT-T2WI) and respiratory-triggered FSE-T2WI (FSE-RT-T2WI) sequences. 71 patients with liver lesions underwent 3-T MRI and were prospectively enrolled. Two readers independently analyzed images acquired with
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Analytical solution of the Bloch-McConnell equations for steady-state CEST Z-spectra Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-29 Mehran Shaghaghi, Kejia Cai
To derive an analytic expression for the steady-state Chemical Exchange Saturation Transfer (CEST) -spectra of a two-pool proton-exchanging system, facilitating simulations and expedited fitting of steady-state -spectra. The analytical expression is derived by directly solving the set of Bloch-McConnell differential equations in matrix form for a two-pool exchanging system, determining water magnetization
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Volumetric brain MRI signatures of heart failure with preserved ejection fraction in the setting of dementia Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-29 Camilo Bermudez, Cailey I. Kerley, Karthik Ramadass, Eric H. Farber-Eger, Ya-Chen Lin, Hakmook Kang, Warren D. Taylor, Quinn S. Wells, Bennett A. Landman
Heart failure with preserved ejection fraction (HFpEF) is an important, emerging risk factor for dementia, but it is not clear whether HFpEF contributes to a specific pattern of neuroanatomical changes in dementia. A major challenge to studying this is the relative paucity of datasets of patients with dementia, with/without HFpEF, and relevant neuroimaging. We sought to demonstrate the feasibility
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A fully automatic parenchyma extraction method for MRI T2* relaxometry of iron loaded liver in transfusion-dependent patients Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-29 Zifeng Lian, Qiqi Lu, Bingquan Lin, Lingjian Chen, Jian Gong, Qiugen Hu, Huafeng Wang, Yanqiu Feng
To develop a fully automatic parenchyma extraction method for the T2* relaxometry of iron overload liver. A retrospective multicenter collection of liver MR examinations from 177 transfusion-dependent patients was conducted. The proposed method extended a semiautomatic parenchyma extraction algorithm to a fully automatic approach by introducing a modified TransUNet on the R2* (1/T2*) map for liver
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Improved temporal resolution and acceleration on 4D-MR angiography based on superselective pseudo-continuous arterial spin labeling combined with CENTRA-keyhole and view-sharing (4D-S-PACK) using an interpolation algorithm on the temporal axis and compressed sensing–sensitivity encoding (CS-SENSE) Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-27 Hiroo Murazaki, Tatsuhiro Wada, Osamu Togao, Makoto Obara, Michael Helle, Kouji Kobayashi, Kousei Ishigami, Toyoyuki Kato
Two major drawbacks of 4D-MR angiography based on superselective pseudo-continuous arterial spin labeling combined with CENTRA-keyhole and view-sharing (4D-S-PACK) are the low temporal resolution and long scanning time. We investigated the feasibility of increasing the temporal resolution and accelerating the scanning time on 4D-S-PACK by using CS-SENSE and PhyZiodynamics, a novel image-processing
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Prediction of the Nottingham prognostic index and molecular subtypes of breast cancer through multimodal magnetic resonance imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-24 Kewei Chen, Chengxin Yu, Junlong Pan, Yaqia Xu, Yuqing Luo, Ting Yang, Xiaoling Yang, Lisi Xie, Jing Zhang, Renfeng Zhuo
To explore the ability of intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI) and background parenchyma enhancement (BPE) to predict the Nottingham prognostic index (NPI) and molecular subtypes of breast cancer (BC). In this study, 93 patients with BC were included, and they all underwent DKI, IVIM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) examinations. The
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Machine learning based on functional and structural connectivity in mild cognitive impairment Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-24 Yan Li, Yongjia Shao, Junlang Wang, Yu Liu, Yuhan Yang, Zijian Wang, Qian Xi
Alzheimer's disease (AD) is a chronic, degenerative neurological disorder characterized by progressive cognitive decline and mental behavioral abnormalities. Mild cognitive impairment (MCI) is regarded as a transitional stage in the progression from normal elderly individuals to patients with AD. While studies have identified abnormalities in brain connectivity in patients with MCI, including functional
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A novel MRI-based diagnostic model for predicting placenta accreta spectrum Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-24 Jianfeng Xia, Yongren Hu, Zehe Huang, Song Chen, Lanbin Huang, Qizeng Ruan, Chen Zhao, Shicai Deng, Mengzhu Wang, Yu Zhang
To develop and evaluate a diagnostic model based on MRI signs for predicting placenta accreta spectrum.
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Anisotropy of the R1/T2* value dependent on white matter fiber orientation with respect to the B0 field Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-20 Shohei Kawaguchi, Hirohito Kan, Yuto Uchida, Harumasa Kasai, Akio Hiwatashi, Yoshino Ueki
The R1 (1/T1) map divided by the T2* map (R1/T2* map) draws attention as a high-resolution myelin-related map. However, both R1 and R2* (1/T2*) values demonstrate anisotropy dependent on the white matter (WM) fiber orientation with respect to the static magnetic (B0) field. Therefore, this study primarily aimed to investigate the comprehensive impact of these angular-dependent anisotropies on the R1/T2*
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Twisted pair transmission line coil – a flexible, self-decoupled and robust element for 7 T MRI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-15 Jules Vliem, Ying Xiao, Daniel Wenz, Lijing Xin, Wouter Teeuwise, Thomas Ruytenberg, Andrew Webb, Irena Zivkovic
This study evaluates the performance of a twisted pair transmission line coil as a transceive element for 7 T MRI in terms of physical flexibility, robustness to shape deformations, and interelement decoupling. Each coil element was created by shaping a twisted pair of wires into a circle. One wire was interrupted at the top, while the other was interrupted at the bottom, and connected to the matching
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Fast abdominal magnetic resonance elastography with simultaneous encoding of three-dimensional displacements Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-13 Daiki Ito, Tomokazu Numano, Tetsushi Habe, Shigeo Okuda, Taiki Nozaki, Masahiro Jinzaki
Three-dimensional (3D) magnetic resonance elastography (MRE) is more accurate than two-dimensional (2D) MRE; however, it requires long-term acquisition. This study aimed to reduce the acquisition time of abdominal 3D MRE using a new sample interval modulation (short-SLIM) approach that can acquire all three motions faster while reducing the prolongation of echo time and flow compensation.
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Intravoxel incoherent motion magnetic resonance imaging to assess early tumor response to radiation therapy: Review and future directions Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-12 Emmanuel Mesny, Benjamin Leporq, Olivier Chapet, Olivier Beuf
Early prediction of radiation response by imaging is a dynamic field of research and it can be obtained using a variety of noninvasive magnetic resonance imaging methods. Recently, intravoxel incoherent motion (IVIM) has gained interest in cancer imaging. IVIM carries both diffusion and perfusion information, making it a promising tool to assess tumor response. Here, we briefly introduced the basics
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Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-09 Noriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, Hiroyuki Kameda, Taisuke Harada, Yukie Shimizu, Nayuta Tsushima, Satoshi Kano, Akihiro Homma, Jihun Kwon, Masami Yoneyama, Kohsuke Kudo
To assess the utility of deep learning (DL)-based image reconstruction with the combination of compressed sensing (CS) denoising cycle by comparing images reconstructed by conventional CS-based method without DL in fat-suppressed (Fs)-contrast enhanced (CE) three-dimensional (3D) T1-weighted images (T1WIs) of the head and neck. We retrospectively analyzed the cases of 39 patients who had undergone
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Constrained spherical deconvolution on diffusion-weighted images of dolphin brains Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-08 Tommaso Gerussi, Jean-Marie Graïc, Bruno Cozzi, Lara Schlaffke, Onur Güntürkün, Mehdi Behroozi
Invasive neuronal tract-tracing is not permitted in very large or endangered animals. This is especially the case in marine mammals like dolphins. Diffusion-weighted imaging of fiber tracts could be an alternative if feasible even in brains that have been fixed in formalin for a long time. This currently is a problem, especially for detecting crossing fibers. We applied a state-of-the-art algorithm