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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, M. Weber, M. Bernathova, P. Clauser, P. Kapetas, K. Pinker, R. Woitek, T.H. 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 Nasr, Robert W.W. Biederman
Esophageal thermal injury is one of the most devastating complications of atrial radiofrequency ablation, and its diagnosis can be challenging. In this report, we highlight the novel use of free water as a contrast material to better visualize the esophageal lumen in a patient with anaphylaxis to Iodinated contrast media and Gadolinium who recently underwent atrial fibrillation ablation. This becomes
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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 BCE 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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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
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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
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Intravoxel incoherent motion diffusion-weighted imaging of pancreas: Probing evidence of β-cell dysfunction in asymptomatic adults with hyperglycemia in vivo Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-08 Yingying Song, Bo Chen, Kejing Zeng, Kejia Cai, Hui Sun, Deqing Liu, Ping Liu, Gugen Xu, Guihua Jiang
Early evaluation of β-cell dysfunction of hyperglycemic patients in asymptomatic adults would be valuable for timely prevention of the diabetes. This study aimed to evaluate functional changes in the pancreas using intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and determine whether it could be used as a non-invasive method of assessing β-cell dysfunction. This prospective cohort
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Adding quantitative T1rho-weighted imaging to conventional MRI improves specificity and sensitivity for differentiating malignant from benign breast lesions Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-07 Lu Wang, Xiaoxia Wang, Fujie Jiang, Ying Cao, Shuling Liu, Huifang Chen, Jing Yang, Xiaoyong Zhang, Tao Yu, Hanshan Xu, Meng Lin, Yongzhong Wu, Jiuquan Zhang
To investigate the feasibility of T1rho-weighted imaging in differentiating malignant from benign breast lesions and to explore the additional value of T1rho to conventional MRI. We prospectively enrolled consecutive women with breast lesions who underwent preoperative T1rho-weighted imaging, diffusion-weighted imaging, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) between November
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A cross-domain complex convolution neural network for undersampled magnetic resonance image reconstruction Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-07 Tengfei Yuan, Jie Yang, Jieru Chi, Teng Yu, Feng Liu
To introduce a new cross-domain complex convolution neural network for accurate MR image reconstruction from undersampled k-space data. Most reconstruction methods utilize neural networks or cascade neural networks in either the image domain and/or the k-space domain. However, these methods encounter several challenges: 1) Applying neural networks directly in the k-space domain is suboptimal for feature
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Flow independent black blood imaging with a large FOV from the neck to the aortic arch: A feasibility study at 3 tesla Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-06 Yoshihiko Tachikawa, Yasunori Maki, Kento Ikeda, Hikaru Yoshikai, Nobuyuki Toyonari, Hiroshi Hamano, Naoya Chiwata, Kenji Suzuyama, Yukihiko Takahashi
To investigate the feasibility of obtaining black-blood imaging with a large FOV from the neck to the aortic arch at 3 T using a newly modified Relaxation-Enhanced Angiography without Contrast and Triggering for Black-Blood Imaging (REACT-BB). REACT-BB provides black-blood images by adjusting the inversion time (TI) in REACT to the null point of blood. The optimal TI for REACT-BB was investigated in
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Variable augmentation network for invertible MR coil compression Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-06 Xianghao Liao, Bin Huang, Shanshan Wang, Dong Liang, Qiegen Liu
To improve the efficiency of multi-coil data compression and recover the compressed image reversibly, increasing the possibility of applying the proposed method to medical scenarios. A deep learning algorithm is employed for MR coil compression in the presented work. The approach introduces a variable augmentation network for invertible coil compression (VAN-ICC). This network utilizes the inherent
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Amide proton transfer-weighted MRI in predicting pathological types of brain metastases in lung Cancer Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-02 Xuyang Xiang, Xiaozhong Li, Huiting Lin, Xufang Wang
Most brain metastases originate from lung cancer. The majority of cases of lung cancer can be categorized into squamous carcinoma and adenocarcinoma,necessitating distinct clinical treatments and yielding diverse prognoses.Therefore,accurate preoperative evaluation of pathological types through imaging techniques is essential. The objective of this study is to assess the capability of amide proton
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Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR images of spinal cord Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-02 Kurt G. Schilling, Anna J.E. Combes, Karthik Ramadass, Francois Rheault, Grace Sweeney, Logan Prock, Subramaniam Sriram, Julien Cohen-Adad, John C. Gore, Bennett A. Landman, Seth A. Smith, Kristin P. O'Grady
Diffusion MRI of the spinal cord (SC) is susceptible to geometric distortion caused by field inhomogeneities, and prone to misalignment across time series and signal dropout caused by biological motion. Several modifications of image acquisition and image processing techniques have been introduced to overcome these artifacts, but their specific benefits are largely unproven and warrant further investigations
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Evaluating a novel accelerated free-breathing late gadolinium enhancement imaging sequence for assessment of myocardial injury Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-02 Nitish Bhatt, Ady Orbach, Labonny Biswas, Bradley H. Strauss, Kim Connelly, Nilesh R. Ghugre, Graham A. Wright, Idan Roifman
Cardiac magnetic resonance imaging (MRI), including late gadolinium enhancement (LGE), plays an important role in the diagnosis and prognostication of ischemic and non-ischemic myocardial injury. Conventional LGE sequences require patients to perform multiple breath-holds and require long acquisition times. In this study, we compare image quality and assessment of myocardial LGE using an accelerated
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Compressed sensing with deep learning reconstruction: Improving capability of gadolinium-EOB-enhanced 3D T1WI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-01 Hiroyuki Nagata, Yoshiharu Ohno, Takeshi Yoshikawa, Kaori Yamamoto, Maiko Shinohara, Masato Ikedo, Masao Yui, Takahiro Matsuyama, Tomoki Takahashi, Shuji Bando, Minami Furuta, Takahiro Ueda, Yoshiyuki Ozawa, Hiroshi Toyama
The purpose of this study was to determine the utility of compressed sensing (CS) with deep learning reconstruction (DLR) for improving spatial resolution, image quality and focal liver lesion detection on high-resolution contrast-enhanced T1-weighted imaging (HR-CE-T1WI) obtained by CS with DLR as compared with conventional CE-T1WI with parallel imaging (PI). Seventy-seven participants with focal
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Hybrid dynamic bright and black blood angiography by non-contrast-enhanced vessel selective saturation angiography Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-01 Wiebke Entelmann, Thomas Lindner, Marie Teresa Nawka, Jens Fiehler, Olav Jansen, Monika Huhndorf
The integrity of vessel walls and changes in blood flow are involved in many diseases, and information about these anatomical and physiological conditions is important for a diagnosis. There are several different angiography methods that can be used to generate images for diagnostic purposes, but often using different imaging techniques and MR sequences. The purpose of this study was to develop a method
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Complex multi-dimensional integration for T2* and R2* mapping Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-01 Yongquan Ye, Jian Xu, Zhongqi Zhang, Yan Zhang, Qiang Zhao, Jiajia Xu, Huishu Yuan
A dual Multi-Dimensional Integration (dMDI) method was proposed and demonstrated for T* and R* mapping. By constructing and jointly using both the original MDI term and an inversed MDI term, T* and R* mapping can be performed independently with intrinsic background noise suppression and spike elimination, allowing for high quantitative accuracy and robustness over a wide range of T*. dMDI was compared
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Comparison of continuous-time random walk and fractional order calculus models in characterizing breast lesions using histogram analysis Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-02-01 Caili Tang, Feng Li, Litong He, Qilan Hu, Yanjin Qin, Xu Yan, Tao Ai
To compare the diagnostic performance of different mathematical models for DWI and explore whether parameters reflecting spatial and temporal heterogeneity can demonstrate better diagnostic accuracy than the diffusion coefficient parameter in distinguishing benign and malignant breast lesions, using whole-tumor histogram analysis. This retrospective study was approved by the institutional ethics committee
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Non-contrast T1ρ dispersion versus Gd-EOB-DTPA-enhanced T1mapping for the risk stratification of non-alcoholic fatty liver disease in rabbit models Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-24 Ru Yang, Zhongshan Chen, Jin Pan, Shimin Yang, Fubi Hu
Purpose: To investigate the diagnostic efficacy of T1ρ dispersion and Gd-EOB-DTPAenhanced T1mapping in the identification of early liver fibrosis (LF) and non-alcoholic steatohepatitis (NASH) in a non-alcoholic fatty liver disease (NAFLD) rabbit model induced by a high-fat diet using histopathological findings as the standard reference. Methods: A total of sixty rabbits were randomly allocated into
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Improving deep PROPELLER MRI via synthetic blade augmentation and enhanced generalization Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-29 Gulfam Ahmed Saju, Zhiqiang Li, Yuchou Chang
In PROPELLER MRI, obtaining sufficient high-quality blade data remains a challenge, so the efficiency and generalization of deep learning-based reconstruction models are deteriorated. Due to narrow rotated and translated blades acquired in PROPELLER, the technique of data augmentation that is used for deep learning-based Cartesian MRI reconstruction cannot be directly applied. To address the issue
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Multilevel testing of constraints induced by structural equation modeling in fMRI effective connectivity analysis: A proof of concept Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-26 Guillaume Marrelec, Alain Giron
In functional MRI (fMRI), effective connectivity analysis aims at inferring the causal influences that brain regions exert on one another. A common method for this type of analysis is structural equation modeling (SEM). We here propose a novel method to test the validity of a given model of structural equation. Given a structural model in the form of a directed graph, the method extracts the set of
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Breast lesion morphology assessment with high and standard b values in diffusion-weighted imaging at 3 Tesla Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-20 Sara Aniki Christner, Jan-Peter Grunz, Tanja Schlaiß, Carolin Curtaz, Andreas Steven Kunz, Henner Huflage, Theresa Sophie Patzer, Thorsten Alexander Bley, Stephanie Tina Sauer
Introduction With increasing spatial resolution, diffusion-weighted imaging (DWI) may be suitable for morphologic lesion characterization in breast MRI – an area that has traditionally been occupied by dynamic contrast-enhanced imaging (DCE). This investigation compared DWI with b values of 800 and 1600 s/mm2 to DCE for lesion morphology assessment in high-resolution breast MRI at 3 Tesla. Material
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Fast T2 mapping of short-T2 tissues in knee using 3D radial dual-echo balanced steady-state free precession Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-24 Bowen Li, Zekang Ding, Huajun She
Background T2 mapping of short-T2 tissues in the knee (meniscus, tendon, and ligament) is needed to aid the clinical MRI knee diagnosis, which is hard to realize using traditional clinical methods. Purpose To accelerate the acquisition of T2 values for short-T2 tissues in the knee by analyzing the signal equation of balanced steady-state free precession (bSSFP) sequence in MRI. Methods Effect of half-radial
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DCT-net: Dual-domain cross-fusion transformer network for MRI reconstruction Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-17 Bin Wang, Yusheng Lian, Xingchuang Xiong, Han Zhou, Zilong Liu, Xiaohao Zhou
Current challenges in Magnetic Resonance Imaging (MRI) include long acquisition times and motion artifacts. To address these issues, under-sampled k-space acquisition has gained popularity as a fast imaging method. However, recovering fine details from under-sampled data remains challenging. In this study, we introduce a pioneering deep learning approach, namely DCT-Net, designed for dual-domain MRI
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High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-17 Caiyun Shi, Dong Liang, Haifeng Wang, Yanjie Zhu
Purpose To improve the scan efficiency of thoracic aorta vessel wall imaging using a self-gating (SG)-based motion correction scheme. Materials and methods A slab-selective variable-flip-angle 3D turbo spin-echo (SPACE) sequence was modified to acquire SG signals and imaging data. Cartesian sampling with a tiny golden-step spiral profile ordering was used to obtain the imaging data during the systolic
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Amide proton transfer-weighted imaging of the abdomen: Current progress and future directions Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-17 Liuji Sheng, Enyu Yuan, Fang Yuan, Bin Song
The chemical exchange saturation transfer technique serves as a valuable tool for generating in vivo image contrast based on the content of various proton groups, including amide protons, amine protons, and aliphatic protons. Among these, amide proton transfer-weighted (APTw) imaging has seen extensive development as a means to assess the biochemical status of lesions. The exchange from saturated amide
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Field-of-view optimized and constrained undistorted single shot intravoxel incoherent motion diffusion-weighted imaging of the cervix during the menstrual cycle: A prospective study Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-12 Xiaodan Li, Lina Li, Lesheng Huang, Jun Chen, Se Peng, Jiahui Tang, Wanchun Zhang, Juan Du, Tianzhu Liu
Objective To provide insight into the biological characteristics of the healthy cervix by defining intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) parameters across the menstrual cycle. Methods Forty-three females of reproductive age (18–45 years old) were included in this prospective study. Conventional magnetic resonance imaging (MRI) and IVIM-DWI scans were performed at multiple
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NSF evaluation of gadolinium biodistribution in renally impaired rats: Using novel metabolic Gd2O3 nanoparticles coated with β-cyclodextrin (Gd2O3@PCD) in MR molecular imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-11 Hanieh Ashouri, Nader Riyahi Alam, Mehdi Khoobi, Soheila Haghgoo, Zahra Rasouli, Mahdi Gholami
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Fluorescence and magnetic resonance imaging of ONL-93 cells in a rat model of ischemic Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-05 Na Weng, Bin Wei, Guodong Li, Ruijuan Yin, Wenbin Xin, Caiyun Liu, Hao Li, Cuijie Shao, Tao Jiang, Xu Wang
Objectives The current methods for detecting myelin changes in ischemic stroke are indirect and cannot accurately reflect their status. This study aimed to develop a novel fluorescent-magnetic resonance dual-modal molecular imaging probe for direct imaging of myelin. Methods Compounds 7a and 7b were synthesized by linking the MeDAS group and Gadolinium (III) 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetate
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On retrospective k-space subsampling schemes for deep MRI reconstruction Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-04 George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen
Acquiring fully-sampled MRI k-space data is time-consuming, and collecting accelerated data can reduce the acquisition time. Employing 2D Cartesian-rectilinear subsampling schemes is a conventional approach for accelerated acquisitions; however, this often results in imprecise reconstructions, even with the use of Deep Learning (DL), especially at high acceleration factors. Non-rectilinear or non-Cartesian
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Strategically Acquired Gradient Echo (STAGE) Imaging, part IV: Constrained Reconstruction of White Noise (CROWN) Processing as a Means to Improve Signal-to-Noise in STAGE Imaging at 3 Tesla Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-04 E. Mark Haacke, Qiuyun Xu, Paul Kokeny, Sara Gharabaghi, Yongsheng Chen, Bo Wu, Yu Liu, Naying He, Fuhua Yan
Increasing the signal-to-noise ratio (SNR) has always been of critical importance for magnetic resonance imaging. Although increasing field strength provides a linear increase in SNR, it is more and more costly as field strength increases. Therefore, there is a major effort today to use signal processing methods to improve SNR since it is more efficient and economical. There are a variety of methods
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A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients. Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-03 Song Xinyang, Zhang Shuang, Shen Tianci, Hu Xiangyu, Wang Yangyang, Du Mengying, Zhou Jingran, Yang Feng
Objectives To develop and evaluate a machine learning radiomics model based on biparametric magnetic resonance imaging MRI (bpMRI) to predict bone metastasis (BM) status in newly diagnosed prostate cancer (PCa) patients. Methods We retrospectively analyzed bpMRI scans of PCa patients from multiple centers between January 2016 and October 2021. 348 PCa patients were recruited from two institutions for
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The effect of delay time after injecting gadobutrol on the diagnosis of endolymphatic hydrops Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-03 Weidong Zhang, Jiapei Xie, Meiyun Wang
Objectives The aim of this study was to reduce the time delay between gadolinium injection and 3D-FLAIR (three-dimensional fluid-attenuated inversion recovery) MRI by using a single dose of intravenous gadobutrol in Menière's disease patients. Methods 17 patients diagnosed with definite unilateral Meniere's disease underwent 3D-FLAIR MRI scans at 2, 4, and 6 h post-intravenous administration of a single-dose
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Three-dimensional non-contrast magnetic resonance lymphography severity stage for upper extremity lymphedema Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-03 Takashi Kageyama, Yuki Shiko, Yohei Kawasaki, Toko Miyazaki, Hayahito Sakai, Reiko Tsukuura, Takumi Yamamoto
Purposes Non-contrast magnetic resonance lymphography (NMRL) has recently shown the capability of evaluating anatomical fluid distribution in upper extremity lymphedema (UEL). However, there is still a lack of knowledge about the correlation between the characteristic three-dimensional (3D) NMRL findings and the indocyanine green lymphography (ICG-L) findings. Our goal was to clarify the relationship
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Lightweight neural network for Alzheimer's disease classification using multi-slice sMRI Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-02 Qiongmin Zhang, Ying Long, Hongshun Cai, Yen-Wei Chen
Alzheimer's disease (AD) is a progressive neurodegenerative disease. Early detection and intervention are crucial in preventing the progression of AD. To achieve efficient and scalable AD auto-detection based on structural Magnetic Resonance Imaging (sMRI), a lightweight neural network using multi-slice sMRI is proposed in this paper. The backbone for feature extraction is based on ShuffleNet V1 architecture
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Accelerated multiple-quantum-filtered sodium magnetic resonance imaging using compressed sensing at 7 T Magn. Reson. Imaging (IF 2.5) Pub Date : 2024-01-01 Qingping Chen, Wieland A. Worthoff, N. Jon Shah
Purpose Multiple-quantum-filtered (MQF) sodium magnetic resonance imaging (MRI), such as enhanced single-quantum and triple-quantum-filtered imaging of 23Na (eSISTINA), enables images to be weighted towards restricted sodium, a promising biomarker in clinical practice, but often suffers from clinically infeasible acquisition times and low image quality. This study aims to mitigate the above limitation
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Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-29 Yi Sun, Di Tian, Hongfei Lu, Shihai Zhao, Yinyin Chen, Meiying Ge, Mengsu Zeng, Hang Jin
Purpose To evaluate the diagnostic performance of 3.0 T unenhanced compressed-sensing sensitivity encoding (CS-SENSE) Dixon water-fat separation coronary MR angiography (CMRA) in patients with low-to-intermediate risk of coronary artery disease (CAD) and its ability to grade the severity of CAD based on Coronary Artery Disease Reporting and Data System (CAD-RADS). Methods A total of 55 patients who
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Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-24 Wenjing Zhang, Nan Zhao, Yuanxiang Gao, Baoxiang Huang, Lili Wang, Xiaoming Zhou, Zhiming Li
Objectives To validate the performance of nnU-Net in segmentation and CNN in classification for liver fibrosis using T1-weighted images. Materials and methods In this prospective study, animal models of liver fibrosis were induced by injecting subcutaneously a mixture of Carbon tetrachloride and olive oil. A total of 99 male Wistar rats were successfully induced and underwent MR scanning with no contrast
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Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-23 Sagar Buch, Karthikeyan Subramanian, Teresa Chen, Yongsheng Chen, Mykol Larvie, Evanthia Bernitsas, E. Mark Haacke
Purpose Although lesion dissemination in time is a defining characteristic of multiple sclerosis (MS), there is a limited understanding of lesion heterogeneity. Currently, conventional sequences such as fluid attenuated inversion recovery (FLAIR) and T1-weighted (T1W) data are used to assess MS lesions qualitatively. Estimating water content could provide a measure of local tissue rarefaction, or reduced
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Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-21 Yun Xu, Qingxuan Wan, Xihui Ren, Yutao Jiang, Fang Wang, Jing Yao, Peng Wu, Aijun Shen, Peijun Wang
Objective To investigate the potential of amide proton transfer-weighted (APTw) MRI in identifying benign and malignant renal tumors and to evaluate whether APTw MRI can add diagnostic value to diffusion-weighted imaging (DWI). Materials and methods Participants with renal tumor underwent preoperative multiparametric MRI, including APTw MRI and DWI. The APTw and apparent diffusion coefficient (ADC)
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Amide proton transfer weighted combined with diffusion kurtosis imaging for predicting lymph node metastasis in cervical cancer Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-14 Qihao Xu, Qingling Song, Yue Wang, Liangjie Lin, Shifeng Tian, Nan Wang, Jiazheng Wang, Ailian Liu
Objective To investigate the value of amide proton transfer weighted (APTw) combined with diffusion kurtosis imaging (DKI) in quantitative prediction of lymph node metastasis (LNM) in cervical carcinoma (CC). Methods Data of 19 LNM(+) and 50 LNM(−) patients with CC were retrospectively analyzed. 3.0 T MRI scan was performed before the operation, including APTw and DKI. After post-processing, quantitative
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Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-12 Johane Bracamonte, Uyen Truong, John Wilson, Joao Soares
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Correcting synthetic MRI contrast-weighted images using deep learning Magn. Reson. Imaging (IF 2.5) Pub Date : 2023-12-12 Sidharth Kumar, Hamidreza Saber, Odelin Charron, Leorah Freeman, Jonathan I. Tamir
Synthetic magnetic resonance imaging (MRI) offers a scanning paradigm where a fast multi-contrast sequence can be used to estimate underlying quantitative tissue parameter maps, which are then used to synthesize any desirable clinical contrast by retrospectively changing scan parameters in silico. Two benefits of this approach are the reduced exam time and the ability to generate arbitrary contrasts