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Background: RSN whole-heart CMRA is a technique that estimates and corrects for respiratory motion. However, RSN has been limited to a 1D rigid correction which is often insufficient for patients with complex respiratory patterns. The goal…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Christopher W Roy , John Heerfordt , Davide Piccini , Giulia Rossi , Anna Giulia Pavon , Juerg Schwitter , Matthias Stuber

Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of cardiac anatomy and function. However, it typically only acquires a set of two-dimensional (2D) slices of the underlying three-dimensional (3D) anatomy…

Image and Video Processing · Electrical Eng. & Systems 2023-07-19 Marcel Beetz , Abhirup Banerjee , Julius Ossenberg-Engels , Vicente Grau

Cardiac MRI (CMRI) is a cornerstone imaging modality that provides in-depth insights into cardiac structure and function. Multi-contrast CMRI (MCCMRI), which acquires sequences with varying contrast weightings, significantly enhances…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 George Yiasemis , Nikita Moriakov , Jan-Jakob Sonke , Jonas Teuwen

Quality assessment of medical images is essential for complete automation of image processing pipelines. For large population studies such as the UK Biobank, artefacts such as those caused by heart motion are problematic and manual…

Computer Vision and Pattern Recognition · Computer Science 2018-09-03 Ilkay Oksuz , Bram Ruijsink , Esther Puyol-Anton , Aurelien Bustin , Gastao Cruz , Claudia Prieto , Daniel Rueckert , Julia A. Schnabel , Andrew P. King

Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular…

Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Deep learning (DL) models perform several tasks in cardiac MRI (CMR) images with good efficacy, such as segmentation,…

Image and Video Processing · Electrical Eng. & Systems 2022-05-03 Daniel Lima , Catharine Graves , Marco Gutierrez , Bruno Brandoli , Jose Rodrigues-Jr

View planning for the acquisition of cardiac magnetic resonance imaging (CMR) requires acquaintance with the cardiac anatomy and remains a challenging task in clinical practice. Existing approaches to its automation relied either on an…

Image and Video Processing · Electrical Eng. & Systems 2021-09-27 Dong Wei , Kai Ma , Yefeng Zheng

Broadly speaking, the objective in cardiac image segmentation is to delineate the outer and inner walls of the heart to segment out either the entire or parts of the organ boundaries. This paper will focus on MR images as they are the most…

Computer Vision and Pattern Recognition · Computer Science 2015-02-17 Tizita Nesibu Shewaye

Cardiovascular MRI (CMR) is a non-invasive imaging modality that provides excellent soft-tissue contrast without the use of ionizing radiation. Physiological motions and limited speed of MRI data acquisition necessitate development of…

Image and Video Processing · Electrical Eng. & Systems 2020-08-13 Chong Chen , Yingmin Liu , Philip Schniter , Matthew Tong , Karolina Zareba , Orlando Simonetti , Lee Potter , Rizwan Ahmad

Background and Objectives: Cardiovascular magnetic resonance (CMR) imaging is a powerful modality in functional and anatomical assessment for various cardiovascular diseases. Sufficient image quality is essential to achieve proper diagnosis…

Image and Video Processing · Electrical Eng. & Systems 2023-10-02 Shahabedin Nabavi , Hossein Simchi , Mohsen Ebrahimi Moghaddam , Ahmad Ali Abin , Alejandro F. Frangi

Using catheter ablation to treat atrial fibrillation increasingly relies on intracardiac echocardiography (ICE) for an anatomical delineation of the left atrium and the pulmonary veins that enter the atrium. However, it is a challenge to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Haofu Liao , Yucheng Tang , Gareth Funka-Lea , Jiebo Luo , Shaohua Kevin Zhou

The assessment of mitral regurgitation (MR) using cardiac MRI, particularly Cine MRI, is a promising technique due to its wide availability. However, some of the temporal information available in clinical Cine MRI may not be fully utilised,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-27 Y. On , K. Vimalesvaran , S. Zaman , M. Shun-Shin , J. Howard , N. Linton , G. Cole , A. A. Bharath , M. Varela

Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the $k$-space is employed to reduce the scan duration, thus increasing patient comfort and…

Image and Video Processing · Electrical Eng. & Systems 2024-02-13 Yuyang Xue , Yuning Du , Gianluca Carloni , Eva Pachetti , Connor Jordan , Sotirios A. Tsaftaris

Cardiac magnetic resonance imaging (CMR) is a noninvasive imaging modality that provides a comprehensive evaluation of the cardiovascular system. The clinical utility of CMR is hampered by long acquisition times, however. In this work, we…

Image and Video Processing · Electrical Eng. & Systems 2020-07-10 Sizhuo Liu , Edward Reehorst , Philip Schniter , Rizwan Ahmad

Visualizing disease-induced scarring and fibrosis in the heart on cardiac magnetic resonance (CMR) imaging with contrast enhancement (LGE) is paramount in characterizing disease progression and quantifying pathophysiological substrates of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-12 Haley G. Abramson , Dan M. Popescu , Rebecca Yu , Changxin Lai , Julie K. Shade , Katherine C. Wu , Mauro Maggioni , Natalia A. Trayanova

While machine learning approaches perform well on their training domain, they generally tend to fail in a real-world application. In cardiovascular magnetic resonance imaging (CMR), respiratory motion represents a major challenge in terms…

Image and Video Processing · Electrical Eng. & Systems 2022-09-21 Amin Ranem , John Kalkhof , Caner Özer , Anirban Mukhopadhyay , Ilkay Oksuz

Motion-compensated MR reconstruction (MCMR) is a powerful concept with considerable potential, consisting of two coupled sub-problems: Motion estimation, assuming a known image, and image reconstruction, assuming known motion. In this work,…

Image and Video Processing · Electrical Eng. & Systems 2022-09-09 Jiazhen Pan , Daniel Rueckert , Thomas Küstner , Kerstin Hammernik

Cardiovascular diseases (CVD) can be diagnosed using various diagnostic modalities. The electrocardiogram (ECG) is a cost-effective and widely available diagnostic aid that provides functional information of the heart. However, its ability…

Signal Processing · Electrical Eng. & Systems 2025-01-09 Özgün Turgut , Philip Müller , Paul Hager , Suprosanna Shit , Sophie Starck , Martin J. Menten , Eimo Martens , Daniel Rueckert

First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming an essential non-invasive imaging method for detecting deficits of myocardial blood flow, allowing the assessment of coronary heart disease. Nevertheless, acquisitions…

Cardiac Magnetic Resonance (CMR) imaging is a critical tool for diagnosing and managing cardiovascular disease, yet its utility is often limited by the sparse acquisition of 2D short-axis slices, resulting in incomplete volumetric…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Niklas Bubeck , Suprosanna Shit , Chen Chen , Can Zhao , Pengfei Guo , Dong Yang , Georg Zitzlsberger , Daguang Xu , Bernhard Kainz , Daniel Rueckert , Jiazhen Pan