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Related papers: Reference-Based MRI

200 papers

We went below the MRI acceleration factors (a.k.a., k-space undersampling) reported by all published papers that reference the original fastMRI challenge, and then considered powerful deep learning based image enhancement methods to…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Aleksandr Belov , Joel Stadelmann , Sergey Kastryulin , Dmitry V. Dylov

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast but low-resolution image acquisition and highly detailed but slow image acquisition. Fast imaging is required for targets that move to avoid motion artefacts. This is in…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Steven McDonagh , Benjamin Hou , Konstantinos Kamnitsas , Ozan Oktay , Amir Alansary , Mary Rutherford , Jo V. Hajnal , Bernhard Kainz

Accelerated Magnetic Resonance Imaging (MRI) permits high quality images from fewer samples that can be collected with a faster scan. Two established methods for accelerating MRI include parallel imaging and compressed sensing. Two types of…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Nicholas Dwork , Alex McManus , Stephen Becker , Gennifer T. Smith

Parallel MRI is a fast imaging technique that enables the acquisition of highly resolved images in space. It relies on $k$-space undersampling and multiple receiver coils with complementary sensitivity profiles in order to reconstruct a…

Purpose: To present a computational procedure for accelerated, calibrationless magnetic resonance image (Cl-MRI) reconstruction that is fast, memory efficient, and scales to high-dimensional imaging. Theory and Methods: Cl-MRI methods can…

Image and Video Processing · Electrical Eng. & Systems 2021-07-23 Shen Zhao , Lee C. Potter , Rizwan Ahmad

Magnetic resonance imaging (MRI) is an invaluable tool for clinical and research applications. Yet, variations in scanners and acquisition parameters cause inconsistencies in image contrast, hindering data comparability and reproducibility…

Image and Video Processing · Electrical Eng. & Systems 2025-09-09 Daniel Scholz , Ayhan Can Erdur , Robbie Holland , Viktoria Ehm , Jan C. Peeken , Benedikt Wiestler , Daniel Rueckert

Magnetic Resonance Imaging(MRI) has been widely used in clinical application and pathology research by helping doctors make more accurate diagnoses. On the other hand, accurate diagnosis by MRI remains a great challenge as images obtained…

Image and Video Processing · Electrical Eng. & Systems 2019-07-15 Chun-Mei Feng , Kai Wang , Shijian Lu , Yong Xu , Heng Kong , Ling Shao

Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnosis of cardiac diseases thanks to its ability to present cardiovascular features in excellent contrast. As compared to computed tomography (CT), MRI, however, requires a…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 Qing Lyu , Hongming Shan , Yibin Xie , Debiao Li , Ge Wang

Indirect image registration is a promising technique to improve image reconstruction quality by providing a shape prior for the reconstruction task. In this paper, we propose a novel hybrid method that seeks to reconstruct high quality…

Image and Video Processing · Electrical Eng. & Systems 2019-12-18 Jiulong Liu , Angelica I. Aviles-Rivero , Hui Ji , Carola-Bibiane Schönlieb

Magnetic resonance imaging (MRI) is indispensable for diagnosing and planning treatment in various medical conditions due to its ability to produce multi-series images that reveal different tissue characteristics. However, integrating these…

Image and Video Processing · Electrical Eng. & Systems 2024-12-11 Churan Wang , Fei Gao , Lijun Yan , Siwen Wang , Yizhou Yu , Yizhou Wang

Quantitative magnetic resonance (MR) T1\r{ho} mapping is a promising approach for characterizing intrinsic tissue-dependent information. However, long scan time significantly hinders its widespread applications. Recently, low-rank tensor…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Yuanyuan Liu , Dong Liang , Zhuo-Xu Cui , Yuxin Yang , Chentao Cao , Qingyong Zhu , Jing Cheng , Caiyun Shi , Haifeng Wang , Yanjie Zhu

Magnetic Resonance Imaging (MRI) acquisition remains a time-intensive and patient-straining process, as prolonged scan dura- tions increase the likelihood of motion artifacts, which degrade image quality and frequently require repeated…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Prajyot Pyati , Sapna Sachan , Amulya Kumar Mahto , Pranjal Phukan

High-resolution whole-brain in vivo MR imaging at mesoscale resolutions remains challenging due to long scan durations, motion artifacts, and limited signal-to-noise ratio (SNR). This study proposes Rotating-view super-resolution…

Image and Video Processing · Electrical Eng. & Systems 2025-05-26 Jun Lyu , Lipeng Ning , William Consagra , Qiang Liu , Richard J. Rushmore , Berkin Bilgic , Yogesh Rathi

This paper proposes a novel framework to reconstruct the dynamic magnetic resonance images (DMRI) with motion compensation (MC). Due to the inherent motion effects during DMRI acquisition, reconstruction of DMRI using motion…

Computer Vision and Pattern Recognition · Computer Science 2019-02-15 Ningning Zhao , Daniel O'Connor , Adrian Basarab , Dan Ruan , Peng Hu , Ke Sheng

Cardiac magnetic resonance imaging (CMR) has emerged as a valuable diagnostic tool for cardiac diseases. However, a limitation of CMR is its slow imaging speed, which causes patient discomfort and introduces artifacts in the images. There…

Purpose: Inversion recovery prepared ultra-short echo time (IR-UTE)-based MRI enables radiation-free visualization of osseous tissue. However, sufficient signal-to-noise ratio (SNR) can only be obtained with long acquisition times. This…

Dynamic imaging is a beneficial tool for interventions to assess physiological changes. Nonetheless during dynamic MRI, while achieving a high temporal resolution, the spatial resolution is compromised. To overcome this spatio-temporal…

Image and Video Processing · Electrical Eng. & Systems 2021-10-26 Chompunuch Sarasaen , Soumick Chatterjee , Mario Breitkopf , Georg Rose , Andreas Nürnberger , Oliver Speck

To reduce scanning time and/or improve spatial/temporal resolution in some MRI applications, parallel MRI (pMRI) acquisition techniques with multiple coils acquisition have emerged since the early 1990s as powerful 3D imaging methods that…

Optimization and Control · Mathematics 2009-09-03 Lotfi Chaari , Jean-Christophe Pesquet , Philippe Ciuciu , Amel Benazza-Benyahia

Cine cardiac magnetic resonance (CMR) imaging is recognised as the benchmark modality for the comprehensive assessment of cardiac function. Nevertheless, the acquisition process of cine CMR is considered as an impediment due to its…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Anam Hashmi , Julia Dietlmeier , Kathleen M. Curran , Noel E. O'Connor

Portable, low-field Magnetic Resonance Imaging (MRI) scanners are increasingly being deployed in clinical settings. However, key barriers to their widespread use include low signal-to-noise ratio (SNR), generally low image quality, and long…