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In recent decades, the use of 4D Flow MRI images has enabled the quantification of velocity fields within a volume of interest and along the cardiac cycle. However, the lack of resolution and the presence of noise in these biomarkers are…

Image and Video Processing · Electrical Eng. & Systems 2025-06-26 Simon Perrin , Sébastien Levilly , Huajun Sun , Harold Mouchère , Jean-Michel Serfaty

Four-dimensional computed tomography (4D CT) reconstruction is crucial for capturing dynamic anatomical changes but faces inherent limitations from conventional phase-binning workflows. Current methods discretize temporal resolution into…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Weihao Yu , Yuanhao Cai , Ruyi Zha , Zhiwen Fan , Chenxin Li , Yixuan Yuan

3D Gaussian Splatting (3DGS) has achieved excellent rendering quality with fast training and rendering speed. However, its optimization process lacks explicit geometric constraints, leading to suboptimal geometric reconstruction in regions…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Lin-Zhuo Chen , Kangjie Liu , Youtian Lin , Siyu Zhu , Zhihao Li , Xun Cao , Yao Yao

Background: Respiratory-resolved four-dimensional magnetic resonance imaging (4D-MRI) provides essential motion information for accurate radiation treatments of mobile tumors. However, obtaining high-quality 4D-MRI suffers from long…

Medical Physics · Physics 2023-08-04 Maarten Terpstra , Matteo Maspero , Joost Verhoeff , Cornelis van den Berg

Advances in computational science offer a principled pipeline for predictive modeling of cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and surgical planning. Such models can be nowadays deployed on…

Machine Learning · Computer Science 2019-09-19 Georgios Kissas , Yibo Yang , Eileen Hwuang , Walter R. Witschey , John A. Detre , Paris Perdikaris

Background: Coronary artery bypass grafting (CABG) planning requires advanced spatial visualization and consideration of coronary artery depth, calcification, and pericardial adhesions. Objective: To develop and evaluate a dynamic…

Medical Physics · Physics 2025-10-02 Shuo Wang , Tong Ren , Nan Cheng , Li Zhang , Rong Wang

Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital heart disease uses 2D, breath-hold, balanced steady state free precession (bSSFP) cine imaging for assessment of function and cardiac-gated,…

Image and Video Processing · Electrical Eng. & Systems 2025-07-01 Mark Wrobel , Michele Pascale , Tina Yao , Ruaraidh Campbell , Elena Milano , Michael Quail , Jennifer Steeden , Vivek Muthurangu

Medical image denoising (MID) lacks absolutely clean images for supervision, leading to a noisy reference problem that fundamentally limits denoising performance. Existing simulated-supervised discriminative learning (SimSDL) and…

Image and Video Processing · Electrical Eng. & Systems 2026-04-20 Yuxin Liu , Yiqing Dong , Wenxue Yu , Zhan Wu , Rongjun Ge , Yang Chen , Yuting He

We combine confocal imaging, microfluidics and image analysis to record 3D-images of cells in flow. This enables us to recover the full 3D representation of several hundred living cells per minute. Whereas 3D confocal imaging has thus far…

Fluid Dynamics · Physics 2017-09-19 S. Quint , A. F. Christ , A. Guckenberger , S. Himbert , L. Kaestner , S. Gekle , C. Wagner

Intracranial aneurysms remain a major cause of neurological morbidity and mortality worldwide, where rupture risk is tightly coupled to local hemodynamics particularly wall shear stress and oscillatory shear index. Conventional…

Recently, Gaussian splatting has received more and more attention in the field of static scene rendering. Due to the low computational overhead and inherent flexibility of explicit representations, plane-based explicit methods are popular…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Jiawei Xu , Zexin Fan , Jian Yang , Jin Xie

The unprecedented X-ray flux density provided by modern X-ray sources offers new spatiotemporal possibilities for X-ray imaging of fast dynamic processes. Approaches to exploit such possibilities often result in either i) a limited number…

Image and Video Processing · Electrical Eng. & Systems 2025-04-07 Zisheng Yao , Yuhe Zhang , Zhe Hu , Robert Klöfkorn , Tobias Ritschel , Pablo Villanueva-Perez

Though rectified flow models have achieved remarkable performance in image, video, and 3D generation, their practical deployments are challenged by slow inference speeds. Prior acceleration methods reuse cached features from previous steps,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Junwen Tan , Jinglin Liang , Hongyuan Chen , Shuangping Huang

Many density estimation techniques for 3D human motion prediction require a significant amount of inference time, often exceeding the duration of the predicted time horizon. To address the need for faster density estimation for 3D human…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Takahiro Maeda , Jinkun Cao , Norimichi Ukita , Kris Kitani

Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modalities. Most of the state-of-the-art approaches have achieved…

Image and Video Processing · Electrical Eng. & Systems 2021-11-15 Junwei Yang , Xiao-Xin Li , Feihong Liu , Dong Nie , Pietro Lio , Haikun Qi , Dinggang Shen

Four-dimensional Scanning Transmission Electron Microscopy (4D-STEM) is a powerful technique for high-resolution and high-precision materials characterization at multiple length scales, including the characterization of beam-sensitive…

Applied Physics · Physics 2023-08-11 Hsu-Chih Ni , Renliang Yuan , Jiong Zhang , Jian-Min Zuo

Diffuse correlation spectroscopy (DCS) analyzes the autocorrelation function of photons scattered by red blood cells, enabling non-invasive, continuous measurement of deep tissue blood flow at the bedside. Multi-layer DCS models (two- and…

Four-dimensional Digital Subtraction Angiography (4D DSA) is a medical imaging technique that provides a series of 2D images captured at different stages and angles during the process of contrast agent filling blood vessels. It plays a…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Shuai Zhang , Huangxuan Zhao , Zhenghong Zhou , Guanjun Wu , Chuansheng Zheng , Xinggang Wang , Wenyu Liu

4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low spatial resolution and noise, particularly affecting…

Cardiac motion tracking from echocardiography can be used to estimate and quantify myocardial motion within a cardiac cycle. It is a cost-efficient and effective approach for assessing myocardial function. However, ultrasound imaging has…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Long Teng , Wei Feng , Menglong Zhu , Xinchao Li
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