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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

Automatic segmentation of multi-sequence (multi-modal) cardiac MR (CMR) images plays a significant role in diagnosis and management for a variety of cardiac diseases. However, the performance of relevant algorithms is significantly affected…

Image and Video Processing · Electrical Eng. & Systems 2020-09-08 Haochuan Jiang , Chengjia Wang , Agisilaos Chartsias , Sotirios A. Tsaftaris

In recent years, deep learning has attracted increasing attention in the field of Cardiac MRI (CMR) reconstruction due to its superior performance over traditional methods, particularly in handling higher acceleration factors, highlighting…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Donghang Lyu , Marius Staring , Hildo Lamb , Mariya Doneva

Magnetic resonance imaging (MRI) is a remarkably powerful diagnostic technique: it generates wide-ranging information for the non-invasive study of tissue anatomy and physiology. Complementary data is normally obtained in separate…

Image and Video Processing · Electrical Eng. & Systems 2019-01-24 Pedro A. Gómez , Miguel Molina-Romero , Guido Buonincontri , Marion I. Menzel , Bjoern H. Menze

Composed Image Retrieval (CIR) is the task of retrieving a target image from a gallery using a composed query consisting of a reference image and a modification text. Among various CIR approaches, training-free zero-shot methods based on…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Jeong-Woo Park , Seong-Whan Lee

Diffusion-based inverse problem solvers (DIS) have recently shown outstanding performance in compressed-sensing parallel MRI reconstruction by combining diffusion priors with physical measurement models. However, they typically rely on…

Image and Video Processing · Electrical Eng. & Systems 2025-09-24 Tingjun Liu , Chicago Y. Park , Yuyang Hu , Hongyu An , Ulugbek S. Kamilov

MR image sparsity/compressibility has been widely exploited for imaging acceleration with the development of compressed sensing. A sparsity-based approach to rigid-body motion correction is presented for the first time in this paper. A…

Computer Vision and Pattern Recognition · Computer Science 2013-02-04 Zai Yang , Cishen Zhang , Lihua Xie

Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can illustrate the structure and function of heart in a non-invasive and painless way. However, it is time-consuming and high-cost to acquire the high-quality scans due to the…

Image and Video Processing · Electrical Eng. & Systems 2020-07-09 Jhih-Yuan Lin , Yu-Cheng Chang , Winston H. Hsu

Recent advances in neural interfacing have enabled significant improvements in human-computer interaction, rehabilitation, and neuromuscular diagnostics. Motor unit (MU) decomposition from surface electromyography (sEMG) is a key technique…

Neurons and Cognition · Quantitative Biology 2025-10-22 D. Halatsis , P. Mamidanna , J. Pereira , D. Farina

Time-resolved CBCT imaging, which reconstructs a dynamic sequence of CBCTs reflecting intra-scan motion (one CBCT per x-ray projection without phase sorting or binning), is highly desired for regular and irregular motion characterization,…

Medical Physics · Physics 2025-07-28 Jiacheng Xie , Hua-Chieh Shao , You Zhang

Current state-of-the-art motion-based dynamic computed tomography reconstruction techniques estimate the deformation by considering motion models in the entire object volume although occasionally the proper change is local. In this article,…

Optimization and Control · Mathematics 2023-09-06 Anh-Tuan Nguyen , Jens Renders , Jan Sijbers , Jan De Beenhouwer

Cardiovascular magnetic resonance (CMR) is the gold standard for assessing cardiac function, but individual cardiac cycles complicate automatic temporal comparison or sub-phase analysis. Accurate cardiac keyframe detection can eliminate…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Sven Koehler , Sarah Kaye Mueller , Jonathan Kiekenap , Gerald Greil , Tarique Hussain , Samir Sarikouch , Florian André , Norbert Frey , Sandy Engelhardt

PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called compressive recovery with outlier rejection (CORe), models…

In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corruption of k-space lines, which can result in artefacts in the reconstructed images. In this paper, we propose a method to automatically detect and correct motion-related…

Image and Video Processing · Electrical Eng. & Systems 2019-06-14 lkay Oksuz , James Clough , Bram Ruijsink , Esther Puyol-Anton , Aurelien Bustin , Gastao Cruz , Claudia Prieto , Daniel Rueckert , Andrew P. King , Julia A. Schnabel

Magnetic Resonance Spectroscopy (MRS) is a powerful non-invasive tool for metabolic tissue analysis but is often degraded by patient motion, limiting clinical utility. The RECENTRE project (REal-time motion CorrEctioN in magneTic Resonance)…

Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous…

Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for measuring cardiac function. This imaging technique can provide us with detailed information about cardiac structure, tissue composition and even blood…

Image and Video Processing · Electrical Eng. & Systems 2022-05-25 Nourelhouda Groun , Maria Villalba-Orero , Enrique Lara-Pezzi , Eusebio Valero , Jesus Garicano-Mena , Soledad Le Clainche

Positron Emission Tomography and Magnetic Resonance Imaging (PET-MRI) systems can obtain functional and anatomical scans. PET suffers from a low signal-to-noise ratio. Meanwhile, the k-space data acquisition process in MRI is…

Image and Video Processing · Electrical Eng. & Systems 2024-07-12 Taofeng Xie , Zhuo-Xu Cui , Chen Luo , Huayu Wang , Congcong Liu , Yuanzhi Zhang , Xuemei Wang , Yanjie Zhu , Guoqing Chen , Dong Liang , Qiyu Jin , Yihang Zhou , Haifeng Wang

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