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Image-guided adaptive lung radiotherapy requires accurate tumor and organs segmentation from during treatment cone-beam CT (CBCT) images. Thoracic CBCTs are hard to segment because of low soft-tissue contrast, imaging artifacts, respiratory…

Image and Video Processing · Electrical Eng. & Systems 2022-03-01 Jue Jiang , Harini Veeraraghavan

Archetypal scenarios for change detection generally consider two images acquired through sensors of the same modality. However, in some specific cases such as emergency situations, the only images available may be those acquired through…

Computer Vision and Pattern Recognition · Computer Science 2016-09-21 Vinicius Ferraris , Nicolas Dobigeon , Qi Wei , Marie Chabert

Speckle contrast imaging is an established technique to obtain relative blood maps over wide field of views. Currently, its most accurate implementation relies on the acquisition of raw speckle images at different exposure times but…

Medical Physics · Physics 2021-10-01 Marc Chammas , Frédéric Pain

Aortic stenosis (AS) is a life-threatening condition caused by a narrowing of the aortic valve, leading to impaired blood flow. Despite its high prevalence, access to echocardiography (echo), the gold-standard diagnostic tool, is often…

Computer Vision and Pattern Recognition · Computer Science 2025-09-04 Armin Saadat , Nima Hashemi , Hooman Vaseli , Michael Y. Tsang , Christina Luong , Michiel Van de Panne , Teresa S. M. Tsang , Purang Abolmaesumi

Ultrasound localization microscopy offers new radiation-free diagnostic tools for vascular imaging deep within the tissue. Sequential localization of echoes returned from inert microbubbles with low-concentration within the bloodstream…

Medical Physics · Physics 2018-04-11 Oren Solomon , Ruud J. G. van Sloun , Hessel Wijkstra , Massimo Mischi , Yonina C. Eldar

Myocardial Contrast Echocardiography (MCE) with micro-bubble contrast agent enables myocardial perfusion quantification which is invaluable for the early detection of coronary artery diseases. In this paper, we proposed a new segmentation…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Yuanwei Li , Chin Pang Ho , Navtej Chahal , Roxy Senior , Meng-Xing Tang

Background: The assessment of left ventricular (LV) function by myocardial perfusion SPECT (MPS) relies on accurate myocardial segmentation. The purpose of this paper is to develop and validate a new method incorporating deep learning with…

Image and Video Processing · Electrical Eng. & Systems 2023-12-22 Fubao Zhu , Jinyu Zhao , Chen Zhao , Shaojie Tang , Jiaofen Nan , Yanting Li , Zhongqiang Zhao , Jianzhou Shi , Zenghong Chen , Zhixin Jiang , Weihua Zhou

Current 3D photoacoustic tomography (PAT) systems offer either high image quality or high frame rates but are not able to deliver high spatial and temporal resolution simultaneously, which limits their ability to image dynamic processes in…

Numerical Analysis · Mathematics 2016-12-21 Simon Arridge , Paul Beard , Marta Betcke , Ben Cox , Nam Huynh , Felix Lucka , Olumide Ogunlade , Edward Zhang

This study presents a practical and dose-efficient strategy for resolution enhancement in planar radiography, based on mechanically supersampled acquisition with high-Z photon-counting detectors (PCDs). Unlike prior event-based or cluster…

Accurate quantification in positron emission tomography (PET) is essential for accurate diagnostic results and effective treatment tracking. A major issue encountered in PET imaging is attenuation. Attenuation refers to the diminution of…

PET super-resolution is highly under-constrained because paired multi-resolution scans from the same subject are rarely available, and effective resolution is determined by scanner-specific physics (e.g., PSF, detector geometry, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Liutao Yang , Zi Wang , Peiyuan Jing , Xiaowen Wang , Javier A. Montoya-Zegarra , Kuangyu Shi , Daoqiang Zhang , Guang Yang

SPECT systems using pinhole apertures permit radiolabeled molecular distributions to be imaged in vivo in small animals. Nevertheless studying cardiovascular diseases by means of small animal models is very challenging. Specifically,…

Recent advances in tuning-free personalized image generation based on diffusion models are impressive. However, to improve subject fidelity, existing methods either retrain the diffusion model or infuse it with dense visual embeddings, both…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Zhichao Wei , Qingkun Su , Long Qin , Weizhi Wang

Recent work has shown that label-efficient few-shot learning through self-supervision can achieve promising medical image segmentation results. However, few-shot segmentation models typically rely on prototype representations of the…

Image and Video Processing · Electrical Eng. & Systems 2022-03-07 Stine Hansen , Srishti Gautam , Robert Jenssen , Michael Kampffmeyer

Recently it has been shown that precise dose control and an increase in the overall acquisition speed of atomic resolution scanning transmission electron microscope (STEM) images can be achieved by acquiring only a small fraction of the…

Multispectral (MS) image panchromatic (PAN) sharpening algorithms proposed to the remote sensing community are ever increasing in number and variety. Their aim is to sharpen a coarse spatial resolution MS image with a fine spatial…

Computer Vision and Pattern Recognition · Computer Science 2017-01-10 Andrea Baraldi , Francesca Despini , Sergio Teggi

In Single Photon Emission Computed Tomography (SPECT), the image reconstruction process involves many tunable parameters that have a significant impact on the quality of the resulting clinical images. Traditional image quality evaluation…

Numerical Analysis · Mathematics 2025-05-13 Luca Pastrello , Diego Cecchin , Gabriele Santin , Francesco Marchetti

Cardiac T1 mapping is a valuable quantitative MRI technique for diagnosing diffuse myocardial diseases. Traditional methods, relying on breath-hold sequences and cardiac triggering based on an ECG signal, face challenges with patient…

Image and Video Processing · Electrical Eng. & Systems 2025-03-10 Eyal Hanania , Adi Zehavi-Lenz , Ilya Volovik , Daphna Link-Sourani , Israel Cohen , Moti Freiman

While drastic improvements in CT technology have occurred in the past 25 years, spatial resolution is one area where progress has been limited until recently. New photon counting CT systems, are capable of much better spatial resolution…

Background: Spectral shaping is a computed tomography (CT) dose optimization technique that adjusts source voltage and filtration to reduce patient radiation exposure without compromising image quality. Traditionally, radiation dose has…