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Coronary angiography is considered to be a safe tool for the evaluation of coronary artery disease and perform in approximately 12 million patients each year worldwide. [1] In most cases, angiograms are manually analyzed by a cardiologist.…

计算机视觉与模式识别 · 计算机科学 2017-06-07 Stanislav Filippov , Arsenii Moiseev , Andronenko Andrey

To date, endovascular surgeries are performed using the golden standard of Fluoroscopy, which uses ionising radiation to visualise catheters and vasculature. Prolonged Fluoroscopic exposure is harmful for the patient and the clinician, and…

图像与视频处理 · 电气工程与系统科学 2023-09-27 Alex Ranne , Yordanka Velikova , Nassir Navab , Ferdinando Rodriguez y Baena

The assessment of aortic valve pathology using magnetic resonance imaging (MRI) typically relies on blood velocity estimates acquired using phase contrast (PC) MRI. However, abnormalities in blood flow through the aortic valve often…

图像与视频处理 · 电气工程与系统科学 2023-04-17 Y. On , K. Vimalesvaran , C. Galazis , S. Zaman , J. Howard , N. Linton , N. Peters , G. Cole , A. A. Bharath , M. Varela

Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health. Existing algorithms have been developed but there are certain persistent problems such as…

图像与视频处理 · 电气工程与系统科学 2021-07-20 Li Chen , Wenjin Liu , Niranjan Balu , Mahmud Mossa-Basha , Thomas S. Hatsukami , Jenq-Neng Hwang , Chun Yuan

Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves. Despite progressive improvements over the decades, the rich temporally resolved data in…

The precise delineation of blood vessels in medical images is critical for many clinical applications, including pathology detection and surgical planning. However, fully-automated vascular segmentation is challenging because of the…

图像与视频处理 · 电气工程与系统科学 2024-09-20 Amine Sadikine , Bogdan Badic , Enzo Ferrante , Vincent Noblet , Pascal Ballet , Dimitris Visvikis , Pierre-Henri Conze

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise…

其他计算机科学 · 计算机科学 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

Video is an essential imaging modality for diagnostics, e.g. in ultrasound imaging, for endoscopy, or movement assessment. However, video hasn't received a lot of attention in the medical image analysis community. In the clinical practice,…

计算机视觉与模式识别 · 计算机科学 2020-05-20 Tianrui Liu , Qingjie Meng , Athanasios Vlontzos , Jeremy Tan , Daniel Rueckert , Bernhard Kainz

The four essential chambers of one's heart that lie in the thoracic cavity are crucial for one's survival, yet ironically prove to be the most vulnerable. Cardiovascular disease (CVD) also commonly referred to as heart disease has steadily…

机器学习 · 计算机科学 2021-11-17 Aaditya Surya

Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to be moved to scan the respective area. For handheld…

计算机视觉与模式识别 · 计算机科学 2026-03-24 Suresh Guttikonda , Maximilian Neidhardt , Vidas Raudonis , Alexander Schlaefer

Knowledge of interaction forces during teleoperated robot-assisted surgery could be used to enable force feedback to human operators and evaluate tissue handling skill. However, direct force sensing at the end-effector is challenging…

机器人学 · 计算机科学 2022-07-08 Zonghe Chua , Anthony M. Jarc , Allison M. Okamura

Traffic management is a serious problem in many cities around the world. Even the suburban areas are now experiencing regular traffic congestion. Inappropriate traffic control wastes fuel, time, and the productivity of nations. Though…

计算机视觉与模式识别 · 计算机科学 2023-11-29 K. G. Zoysa , S. R. Munasinghe

Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-level assessment of tissue morphology. However, manual histopathological examination is time-consuming, labour-intensive, and subject to…

计算机视觉与模式识别 · 计算机科学 2026-03-13 Ravi Mosalpuri , Mohammed Abdelsamea , Ahmed Karam Eldaly

Classical Visual Servoing (VS) rely on handcrafted visual features, which limit their generalizability. Recently, a number of approaches, some based on Deep Neural Networks, have been proposed to overcome this limitation by comparing…

机器人学 · 计算机科学 2022-01-21 Nicholas Adrian , Van-Thach Do , Quang-Cuong Pham

Implantation of stents into coronary arteries is a common treatment option for patients with cardiovascular disease. Assessment of safety and efficacy of the stent implantation occurs via manual visual inspection of the neointimal coverage…

图像与视频处理 · 电气工程与系统科学 2019-09-24 Yuyu Guo

Studying tissue samples obtained during autopsies is the gold standard when diagnosing the cause of death and for understanding disease pathophysiology. Recently, the interest in post mortem minimally invasive biopsies has grown which is a…

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for advanced diagnostic techniques. In our research, we present an avant-garde methodology that synergistically integrates ECG readings and…

Chronic obstructive pulmonary disease (COPD) is a lung disease that is not fully reversible and one of the leading causes of morbidity and mortality in the world. Early detection and diagnosis of COPD can increase the survival rate and…

图像与视频处理 · 电气工程与系统科学 2020-01-07 Jalil Ahmed , Sulaiman Vesal , Felix Durlak , Rainer Kaergel , Nishant Ravikumar , Martine Remy-Jardin , Andreas Maier

Spherical matrix arrays arguably represent an advantageous tomographic detection geometry for non-invasive deep tissue mapping of vascular networks and oxygenation with volumetric optoacoustic tomography (VOT). Hybridization of VOT with…

医学物理 · 物理学 2021-01-05 Justine Robin , Ali Ozbek , Michael Reiss , Xose-Luis Dean-Ben , Daniel Razansky

Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related…