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Functional analysis of the left atrium (LA) plays an increasingly important role in the prognosis and diagnosis of cardiovascular diseases. Echocardiography-based measurements of LA dimensions and strains are useful biomarkers, but they…

图像与视频处理 · 电气工程与系统科学 2023-09-06 Christoforos Galazis , Anil Anthony Bharath , Marta Varela

The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization of LA motion and deformation but…

Two-dimensional representation of 3D anatomical structures is a simple and intuitive way for analysing patient information across populations and image modalities. It also allows convenient visualizations that can be included in clinical…

The left atrium (LA) plays a pivotal role in modulating left ventricular filling, but our comprehension of its hemodynamics is significantly limited by the constraints of conventional ultrasound analysis. 4D flow magnetic resonance imaging…

The deformation of the left atrium (LA), or its biomechanical function, is closely linked to the health of this cardiac chamber. In atrial fibrillation (AF), atrial biomechanics are significantly altered but the underlying cause of this…

The ability to map left ventricle (LV) myocardial motion using computed tomography angiography (CTA) is essential to diagnosing cardiovascular conditions and guiding interventional procedures. Due to their inherent locality, conventional…

图像与视频处理 · 电气工程与系统科学 2024-11-08 Shahar Zuler , Shai Tejman-Yarden , Dan Raviv

Segmenting left atrium in MR volume holds great potentials in promoting the treatment of atrial fibrillation. However, the varying anatomies, artifacts and low contrasts among tissues hinder the advance of both manual and automated…

计算机视觉与模式识别 · 计算机科学 2018-12-17 Xin Yang , Na Wang , Yi Wang , Xu Wang , Reza Nezafat , Dong Ni , Pheng-Ann Heng

Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke. The majority of strokes due to AF are caused by clots originating in the left atrial appendage (LAA). LAA occlusion is an effective…

图像与视频处理 · 电气工程与系统科学 2022-05-16 Hrvoje Leventić , Marin Benčević , Danilo Babin , Marija Habijan , Irena Galić

Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning…

计算机视觉与模式识别 · 计算机科学 2015-12-29 M. R. Avendi , A. Kheradvar , H. Jafarkhani

Accurate segmentation of the left atrium (LA) from cardiac MRI is critical for guiding atrial fibrillation (AF) ablation and constructing biophysical cardiac models. Manual delineation is time-consuming, observer-dependent, and impractical…

图像与视频处理 · 电气工程与系统科学 2025-11-08 Fatemeh Hosseinabadi , Seyedhassan Sharifi

Accurate segmentation of the left atrium (LA) from late gadolinium-enhanced magnetic resonance imaging plays a vital role in visualizing diseased atrial structures, enabling the diagnosis and management of cardiovascular diseases. It is…

计算机视觉与模式识别 · 计算机科学 2025-02-11 Bipasha Kundu , Zixin Yang , Richard Simon , Cristian Linte

Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with heart failure and stroke. Accurate segmentation of the left atrium (LA) in 3D late gadolinium-enhanced (LGE) MRI is helpful for evaluating AF, as fibrotic…

图像与视频处理 · 电气工程与系统科学 2024-11-12 Mehri Mehrnia , Mohamed Elbayumi , Mohammed S. M. Elbaz

This paper presents a fully automated method to segment the complex left atrial (LA) cavity, from 3D Gadolinium-enhanced magnetic resonance imaging (GE-MRI) scans. The proposed method consists of four steps: (1) preprocessing to convert the…

图像与视频处理 · 电气工程与系统科学 2018-10-11 Mengyun Qiao , Yuanyuan Wang , Rob J. van der Geest , Qian Tao

Segmentation of the left atrium and deriving its size can help to predict and detect various cardiovascular conditions. Automation of this process in 3D Ultrasound image data is desirable, since manual delineations are time-consuming,…

计算机视觉与模式识别 · 计算机科学 2019-04-19 Markus A. Degel , Nassir Navab , Shadi Albarqouni

Left atrial (LA) segmentation from late gadolinium enhanced magnetic resonance imaging (LGE MRI) is a crucial step needed for planning the treatment of atrial fibrillation. However, automatic LA segmentation from LGE MRI is still…

图像与视频处理 · 电气工程与系统科学 2021-07-06 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

In cases of pressure or volume overload, probing cardiac function may be difficult because of the interactions between shape and deformations.In this work, we use the LDDMM framework and parallel transport to estimate and reorient…

计算机视觉与模式识别 · 计算机科学 2021-02-18 Nicolas Guigui , Pamela Moceri , Maxime Sermesant , Xavier Pennec

Medical image analysis, especially segmenting a specific organ, has an important role in developing clinical decision support systems. In cardiac magnetic resonance (MR) imaging, segmenting the left and right ventricles helps physicians…

Linear measurements of the left ventricle (LV) in the Parasternal Long Axis (PLAX) view using B-mode echocardiography are crucial for cardiac assessment. These involve placing 4-6 landmarks along a virtual scanline (SL) perpendicular to the…

计算机视觉与模式识别 · 计算机科学 2025-06-30 Durgesh K. Singh , Ahcene Boubekki , Qing Cao , Svein Arne Aase , Robert Jenssen , Michael Kampffmeyer

Cardiac left ventricle (LV) quantification provides a tool for diagnosing cardiac diseases. Automatic calculation of all relevant LV indices from cardiac MR images is an intricate task due to large variations among patients and deformation…

图像与视频处理 · 电气工程与系统科学 2020-02-04 Nils Gessert , Alexander Schlaefer

Left ventricular segmentation is essential for measuring left ventricular function indices. Segmentation of one or several images requires an initial guess of the contour. It is hypothesized here that creating an initial guess by first…

计算机视觉与模式识别 · 计算机科学 2015-10-13 Yael Petrank , Nahum Smirin , Yossi Tsadok , Zvi Friedman , Peter Lysiansky , Dan Adam
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