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Conventional cardiac cine MRI relies on breath-hold Cartesian acquisitions, which are vulnerable to motion artifacts and can be uncomfortable or infeasible, particularly for pediatric and other noncompliant patients who cannot reliably hold…

Image and Video Processing · Electrical Eng. & Systems 2026-05-21 Mahmut Yurt , Kanghyun Ryu , Zhitao Li , Xucheng Zhu , Xianglun Mao , Martin Janich , Marcus Alley , Kawin Setsompop , John Pauly , Shreyas Vasanawala , Ali Syed

Accurate motion estimation at high acceleration factors enables rapid motion-compensated reconstruction in Magnetic Resonance Imaging (MRI) without compromising the diagnostic image quality. In this work, we introduce an attention-aware…

Image and Video Processing · Electrical Eng. & Systems 2024-04-30 Aya Ghoul , Jiazhen Pan , Andreas Lingg , Jens Kübler , Patrick Krumm , Kerstin Hammernik , Daniel Rueckert , Sergios Gatidis , Thomas Küstner

3D Cone-Beam CT (CBCT) is widely used in radiotherapy but suffers from motion artifacts due to breathing. A common clinical approach mitigates this by sorting projections into respiratory phases and reconstructing images per phase, but this…

Image and Video Processing · Electrical Eng. & Systems 2025-06-30 Yuliang Huang , Imraj Singh , Thomas Joyce , Kris Thielemans , Jamie R. McClelland

A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices that employ sequential scanning is their long acquisition time. In previous work, we demonstrated how to use compressed sensing techniques to improve…

Numerical Analysis · Mathematics 2020-09-07 Felix Lucka , Nam Huynh , Marta Betcke , Edward Zhang , Paul Beard , Ben Cox , Simon Arridge

MRI images of the same subject in different contrasts contain shared information, such as the anatomical structure. Utilizing the redundant information amongst the contrasts to sub-sample and faithfully reconstruct multi-contrast images…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Xinwen Liu , Jing Wang , Fangfang Tang , Shekhar S. Chandra , Feng Liu , Stuart Crozier

Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of cardiovascular diseases (CVDs), the foremost cause of death globally. However, current techniques suffer from incomplete and inaccurate…

Image and Video Processing · Electrical Eng. & Systems 2024-06-28 Chengkang Shen , Hao Zhu , You Zhou , Yu Liu , Si Yi , Lili Dong , Weipeng Zhao , David J. Brady , Xun Cao , Zhan Ma , Yi Lin

Diffusion MRI measurements using hyperpolarized gases are generally acquired during patient breath hold, which yields a compromise between achievable image resolution, lung coverage and number of b-values. In this work, we propose a novel…

Medical Physics · Physics 2017-02-10 Juan F P J Abascal , Manuel Desco , Juan Parra-Robles

In this study, we present a deep learning-based approach for time-series respiration data classification. The dataset contains regular breathing patterns as well as various forms of abnormal breathing, obtained through non-contact…

Signal Processing · Electrical Eng. & Systems 2024-04-17 Md Zobaer Islam , Sabit Ekin , John F. O'Hara , Gary Yen

Accurate analysis of cardiac motion is crucial for evaluating cardiac function. While dynamic cardiac magnetic resonance imaging (CMR) can capture detailed tissue motion throughout the cardiac cycle, the fine-grained 4D cardiac motion…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Xueming Fu , Pei Wu , Yingtai Li , Xin Luo , Zihang Jiang , Junhao Mei , Jian Lu , Gao-Jun Teng , S. Kevin Zhou

Purpose: To develop a cardiac T1 mapping method for free-breathing 3D T1 mapping of the whole heart at 3T with transmit B1 (B1+) correction Methods: A free-breathing, ECG-gated inversion recovery sequence with spoiled gradient-echo readout…

Medical Physics · Physics 2021-11-16 Paul Kyu Han , Thibault Marin , Yanis Djebra , Vanessa Landes , Yue Zhuo , Georges El Fakhri , Chao Ma

We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for low-rank methods to recover free-breathing and ungated…

Image and Video Processing · Electrical Eng. & Systems 2021-03-09 Abdul Haseeb Ahmed , Ruixi Zhou , Yang Yang , Prashant Nagpal , Michael Salerno , Mathews Jacob

Dynamic Magnetic Resonance Imaging (MRI) is known to be a powerful and reliable technique for the dynamic imaging of internal organs and tissues, making it a leading diagnostic tool. A major difficulty in using MRI in this setting is the…

Image and Video Processing · Electrical Eng. & Systems 2023-03-24 Tamir Shor , Tomer Weiss , Dor Noti , Alex Bronstein

Based on a 3D pre-treatment magnetic resonance (MR) scan, we developed DREME-MR to jointly reconstruct the reference patient anatomy and a data-driven, patient-specific cardiorespiratory motion model. Via a motion encoder simultaneously…

Medical Physics · Physics 2025-07-04 Hua-Chieh Shao , Xiaoxue Qian , Guoping Xu , Can Wu , Ricardo Otazo , Jie Deng , You Zhang

Performing magnetic resonance imaging (MRI) reconstruction from under-sampled k-space data can accelerate the procedure to acquire MRI scans and reduce patients' discomfort. The reconstruction problem is usually formulated as a denoising…

Image and Video Processing · Electrical Eng. & Systems 2023-12-11 Tianqi Xiang , Wenjun Yue , Yiqun Lin , Jiewen Yang , Zhenkun Wang , Xiaomeng Li

X-ray angiography is widely used in cardiac interventions to visualize coronary vessels, assess integrity, detect stenoses and guide treatment. We propose a framework for reconstructing 3D vessel trees from biplanar X-ray images which are…

Image and Video Processing · Electrical Eng. & Systems 2025-09-18 Ethan Koland , Lin Xi , Nadeev Wijesuriya , YingLiang Ma

In this work, we propose a free-breathing magnetic resonance fingerprinting method that can be used to obtain $B_1^+$-robust quantitative maps of the abdomen in a clinically acceptable time. A three-dimensional MR fingerprinting sequence…

Cardiac magnetic resonance (CMR) imaging is widely used to characterize cardiac morphology and function. To accelerate CMR imaging, various methods have been proposed to recover high-quality spatiotemporal CMR images from highly…

Image and Video Processing · Electrical Eng. & Systems 2025-11-18 Xuanyu Tian , Lixuan Chen , Qing Wu , Xiao Wang , Jie Feng , Yuyao Zhang , Hongjiang Wei

Cardiac function evaluation necessitates continuous, non-invasive monitoring, a capability limited in MRI. Millimeter-wave (mmWave) radar and its Synthetic Aperture Radar (SAR) mode offer a privacy-preserving and portable point-of-care…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Jinye Li , Chenxi Fu , Minghang Zheng , Yang Liu , Xiahai Zhuang , Qingchao Chen

Cardiac magnetic resonance (CMR) imaging is widely used to visualise cardiac motion and diagnose heart disease. However, standard CMR imaging requires patients to lie still in a confined space inside a loud machine for 40-60 min, which…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Chujie Chang , Shoko Miyauchi , Ken'ichi Morooka , Ryo Kurazume , Oscar Martinez Mozos

Multi-echo magnetic resonance (MR) images are acquired by changing the echo times (for T2 weighted) or relaxation times (for T1 weighted) of scans. The resulting (multi-echo) images are usually used for quantitative MR imaging. Acquiring MR…

Machine Learning · Computer Science 2019-12-11 Vanika Singhal , Angshul Majumdar