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Magnetic Resonance Imaging allows high resolution data acquisition with the downside of motion sensitivity due to relatively long acquisition times. Even during the acquisition of a single 2D slice, motion can severely corrupt the image.…

Numerical Analysis · Mathematics 2024-04-12 Mathias S. Feinler , Bernadette N. Hahn

Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality, but unfortunately suffers from long scan times which, aside from increasing operational costs, can lead to image artifacts due to patient motion. Motion during the…

Image and Video Processing · Electrical Eng. & Systems 2023-10-02 Brett Levac , Sidharth Kumar , Ajil Jalal , Jonathan I. Tamir

Motion artifacts are a pervasive problem in MRI, leading to misdiagnosis or mischaracterization in population-level imaging studies. Current retrospective rigid intra-slice motion correction techniques jointly optimize estimates of the…

Image and Video Processing · Electrical Eng. & Systems 2023-11-17 Nalini M. Singh , Neel Dey , Malte Hoffmann , Bruce Fischl , Elfar Adalsteinsson , Robert Frost , Adrian V. Dalca , Polina Golland

Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modality that can produce a high-resolution image with relatively less data acquisition time. The downside of multishot MRI is that it is very sensitive to subject motion and…

Computer Vision and Pattern Recognition · Computer Science 2020-03-13 Muhammad Usman , Muhammad Umar Farooq , Siddique Latif , Muhammad Asim , Junaid Qadir

Motion represents one of the major challenges in magnetic resonance imaging (MRI). Since the MR signal is acquired in frequency space, any motion of the imaged object leads to complex artefacts in the reconstructed image in addition to…

Image and Video Processing · Electrical Eng. & Systems 2023-10-24 Veronika Spieker , Hannah Eichhorn , Kerstin Hammernik , Daniel Rueckert , Christine Preibisch , Dimitrios C. Karampinos , Julia A. Schnabel

Purpose: The suppression of motion artefacts from MR images is a challenging task. The purpose of this paper is to develop a standalone novel technique to suppress motion artefacts from MR images using a data-driven deep learning approach.…

Image and Video Processing · Electrical Eng. & Systems 2020-10-08 Kamlesh Pawar , Zhaolin Chen , N. Jon Shah , Gary F. Egan

Abdominal magnetic resonance imaging (MRI) provides a straightforward way of characterizing tissue and locating lesions of patients as in standard diagnosis. However, abdominal MRI often suffers from respiratory motion artifacts, which…

Image and Video Processing · Electrical Eng. & Systems 2019-06-25 Wenhao Jiang , Zhiyu Liu , Kit-Hang Lee , Shihui Chen , Yui-Lun Ng , Qi Dou , Hing-Chiu Chang , Ka-Wai Kwok

Magnetic Resonance Imaging (MRI) is a widely used medical imaging modality boasting great soft tissue contrast without ionizing radiation, but unfortunately suffers from long acquisition times. Long scan times can lead to motion artifacts,…

Signal Processing · Electrical Eng. & Systems 2022-07-05 Brett Levac , Sidharth Kumar , Sofia Kardonik , Jonathan I. Tamir

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

In MRI, motion artefacts are among the most common types of artefacts. They can degrade images and render them unusable for accurate diagnosis. Traditional methods, such as prospective or retrospective motion correction, have been proposed…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Soumick Chatterjee , Alessandro Sciarra , Max Dünnwald , Steffen Oeltze-Jafra , Andreas Nürnberger , Oliver Speck

Cardiovascular Magnetic Resonance (CMR) plays an important role in the diagnoses and treatment of cardiovascular diseases while motion artifacts which are formed during the scanning process of CMR seriously affects doctors to find the exact…

Computer Vision and Pattern Recognition · Computer Science 2019-03-01 Yunxuan Zhang , Weiliang Zhang , Qinyan Zhang , Jijiang Yang , Xiuyu Chen , Shihua Zhao

Magnetic resonance imaging (MRI) is highly susceptible to patient motion due to its relatively long acquisition times and the fact that data are acquired sequentially in k-space. Even small patient movements introduce phase inconsistencies…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Antonio Ortiz-Gonzalez , Erich Kobler , Lukas Schletter , Alexander Effland

Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance. Currently, MR motion correction is carried out either prospectively, with the help of motion…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Karim Armanious , Sergios Gatidis , Konstantin Nikolaou , Bin Yang , Thomas Küstner

Motion artifacts in Magnetic Resonance Imaging (MRI) arise due to relatively long acquisition times and can compromise the clinical utility of acquired images. Traditional motion correction methods often fail to address severe motion,…

Image and Video Processing · Electrical Eng. & Systems 2024-07-04 Ziad Al-Haj Hemidi , Christian Weihsbach , Mattias P. Heinrich

Multishot Magnetic Resonance Imaging (MRI) has recently gained popularity as it accelerates the MRI data acquisition process without compromising the quality of final MR image. However, it suffers from motion artifacts caused by patient…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Siddique Latif , Muhammad Asim , Muhammad Usman , Junaid Qadir , Rajib Rana

Compressed sensing (CS) leverages the sparsity prior to provide the foundation for fast magnetic resonance imaging (fastMRI). However, iterative solvers for ill-posed problems hinder their adaption to time-critical applications. Moreover,…

Image and Video Processing · Electrical Eng. & Systems 2021-03-16 Jingshuai Liu , Mehrdad Yaghoobi

Physiological motion can affect the diagnostic quality of magnetic resonance imaging (MRI). While various retrospective motion correction methods exist, many struggle to generalize across different motion types and body regions. In…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Qi Wang , Veronika Ecker , Marcel Früh , Sergios Gatidis , Thomas Küstner

Motion artifacts often spoil the radiological interpretation of MR images, and in the most severe cases the scan needs be repeated, with additional costs for the provider. We discuss the application of a novel 3D retrospective rigid motion…

Image and Video Processing · Electrical Eng. & Systems 2023-01-04 Gabrio Rizzuti , Tim Schakel , Niek R. F. Huttinga , Jan Willem Dankbaar , Tristan van Leeuwen , Alessandro Sbrizzi

Magnetic Resonance Imaging (MRI) is a vital component of medical imaging. When compared to other image modalities, it has advantages such as the absence of radiation, superior soft tissue contrast, and complementary multiple sequence…

Image and Video Processing · Electrical Eng. & Systems 2021-05-06 Guang Yang , Jun Lv , Yutong Chen , Jiahao Huang , Jin Zhu

Motion artefacts created by patient motion during an MRI scan occur frequently in practice, often rendering the scans clinically unusable and requiring a re-scan. While many methods have been employed to ameliorate the effects of patient…

Image and Video Processing · Electrical Eng. & Systems 2020-06-30 Michael Rotman , Rafi Brada , Israel Beniaminy , Sangtae Ahn , Christopher J. Hardy , Lior Wolf
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