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Cardiac magnetic resonance imaging (CMR) has been widely used in clinical practice for the medical diagnosis of cardiac diseases. However, the long acquisition time hinders its development in real-time applications. Here, we propose a novel…

Image and Video Processing · Electrical Eng. & Systems 2024-02-01 Liping Zhang , Weitian Chen

Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities. Mitigating artifacts arising during image reconstruction and accelerating cardiac cine MRI acquisition to…

Image and Video Processing · Electrical Eng. & Systems 2024-07-03 Xiaoxiang Han , Yang Chen , Qiaohong Liu , Yiman Liu , Keyan Chen , Yuanjie Lin , Weikun Zhang

Cardiac magnetic resonance imaging (MRI) has emerged as a clinically gold-standard technique for diagnosing cardiac diseases, thanks to its ability to provide diverse information with multiple modalities and anatomical views. Accelerated…

Magnetic Resonance (MR) Fingerprinting is an emerging multi-parametric quantitative MR imaging technique, for which image reconstruction methods utilizing low-rank and subspace constraints have achieved state-of-the-art performance.…

Image and Video Processing · Electrical Eng. & Systems 2023-05-26 Hengfa Lu , Huihui Ye , Lawrence L. Wald , Bo Zhao

Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes. Reducing MRI scan time is beneficial for both patient experience and cost considerations. Accelerated MRI scan may be achieved by acquiring less amount of k-space data…

Image and Video Processing · Electrical Eng. & Systems 2020-01-15 Pak Lun Kevin Ding , Zhiqiang Li , Yuxiang Zhou , Baoxin Li

Undersampling the k-space during MR acquisitions saves time, however results in an ill-posed inversion problem, leading to an infinite set of images as possible solutions. Traditionally, this is tackled as a reconstruction problem by…

Image and Video Processing · Electrical Eng. & Systems 2022-02-10 Kerem C. Tezcan , Neerav Karani , Christian F. Baumgartner , Ender Konukoglu

Parallel imaging is a commonly used technique to accelerate magnetic resonance imaging (MRI) data acquisition. Mathematically, parallel MRI reconstruction can be formulated as an inverse problem relating the sparsely sampled k-space…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Ruimin Feng , Qing Wu , Jie Feng , Huajun She , Chunlei Liu , Yuyao Zhang , Hongjiang Wei

In conventional 2D DCE-US, motion correction algorithms take advantage of accompanying side-by-side anatomical Bmode images that contain time-stable features. However, current commercial models of 3D DCE-US do not provide side-by-side Bmode…

Image and Video Processing · Electrical Eng. & Systems 2020-10-06 Jia-Shu Chen , Maged Goubran Ph. D. , Gaeun Kim , Jurgen K. Willmann M. D. , Michael Zeineh M. D. , Ph. D. , Dimitre Hristov Ph. D. , Ahmed El Kaffas Ph. D

The goal of MRI reconstruction is to restore a high fidelity image from partially observed measurements. This partial view naturally induces reconstruction uncertainty that can only be reduced by acquiring additional measurements. In this…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Zizhao Zhang , Adriana Romero , Matthew J. Muckley , Pascal Vincent , Lin Yang , Michal Drozdzal

A major challenge of the long measurement times in magnetic resonance imaging (MRI), an important medical imaging technology, is that patients may move during data acquisition. This leads to severe motion artifacts in the reconstructed…

Image and Video Processing · Electrical Eng. & Systems 2024-09-17 Tobit Klug , Kun Wang , Stefan Ruschke , Reinhard Heckel

Combining fast MR acquisition sequences and high resolution imaging is a major issue in dynamic imaging. Reducing the acquisition time can be achieved by using non-Cartesian and sparse acquisitions. The reconstruction of MR images from…

Computer Vision and Pattern Recognition · Computer Science 2009-08-25 R. Boubertakh , J. -F. Giovannelli , A. Herment , A. De Cesare

Cardiac magnetic resonance imaging is a valuable non-invasive tool for identifying cardiovascular diseases. For instance, Cine MRI is the benchmark modality for assessing the cardiac function and anatomy. On the other hand, multi-contrast…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 George Yiasemis , Nikita Moriakov , Jan-Jakob Sonke , Jonas Teuwen

We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study of moving organs such as the heart. Existing reconstruction…

Image and Video Processing · Electrical Eng. & Systems 2021-01-26 Jaejun Yoo , Kyong Hwan Jin , Harshit Gupta , Jerome Yerly , Matthias Stuber , Michael Unser

Metal implants in MRI cause severe artifacts that degrade image quality and hinder clinical diagnosis. Traditional approaches address metal artifact reduction (MAR) and accelerated MRI acquisition as separate problems. We propose MASC, a…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Zhengyi Lu , Ming Lu , Chongyu Qu , Junchao Zhu , Junlin Guo , Marilyn Lionts , Yanfan Zhu , Yuechen Yang , Tianyuan Yao , Jayasai Rajagopal , Bennett Allan Landman , Xiao Wang , Xinqiang Yan , Yuankai Huo

In Magnetic Resonance Imaging (MRI) data samples are collected in the spatial frequency domain (k-space), typically by time-consuming line-by-line scanning on a Cartesian grid. Scans can be accelerated by simultaneous acquisition of data…

Medical Physics · Physics 2015-03-24 Vivek Athalye , Michael Lustig , Martin Uecker

In Magnetic Resonance Imaging (MRI), high temporal-resolved motion can be useful for image acquisition and reconstruction, MR-guided radiotherapy, dynamic contrast-enhancement, flow and perfusion imaging, and functional assessment of motion…

Image and Video Processing · Electrical Eng. & Systems 2024-10-25 Aya Ghoul , Kerstin Hammernik , Andreas Lingg , Patrick Krumm , Daniel Rueckert , Sergios Gatidis , Thomas Küstner

Purpose: The radial k-space trajectory is a well-established sampling trajectory used in conjunction with magnetic resonance imaging. However, the radial k-space trajectory requires a large number of radial lines for high-resolution…

Computer Vision and Pattern Recognition · Computer Science 2018-01-10 Yo Seob Han , Jaejun Yoo , Jong Chul Ye

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

The main disadvantage of Magnetic Resonance Imaging (MRI) are its long scan times and, in consequence, its sensitivity to motion. Exploiting the complementary information from multiple receive coils, parallel imaging is able to recover…

Numerical Analysis · Computer Science 2017-03-07 Martin Uecker

Conventional cardiac cine MRI methods rely on retrospective gating, which limits temporal resolution and the ability to capture continuous cardiac dynamics, particularly in patients with arrhythmias and beat-to-beat variations. To address…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Wenqi Huang , Veronika Spieker , Siying Xu , Gastao Cruz , Claudia Prieto , Julia Schnabel , Kerstin Hammernik , Thomas Kuestner , Daniel Rueckert