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Cardiac left ventricular (LV) segmentation from short-axis MRI acquired 10 minutes after the injection of a contrast agent (LGE-MRI) is a necessary step in the processing allowing the identification and diagnosis of cardiac diseases such as…

Image and Video Processing · Electrical Eng. & Systems 2020-06-02 Abdul Qayyum , Alain Lalande , Thomas Decourselle , Thibaut Pommier , Alexandre Cochet , Fabrice Meriaudeau

In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MRI) scans to take images of the heart in order to…

Computer Vision and Pattern Recognition · Computer Science 2018-11-22 Ehab Abdelmaguid , Jolene Huang , Sanjay Kenchareddy , Disha Singla , Laura Wilke , Mai H. Nguyen , Ilkay Altintas

Accurate segmentation of the heart is an important step towards evaluating cardiac function. In this paper, we present a fully automated framework for segmentation of the left (LV) and right (RV) ventricular cavities and the myocardium…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Christian F. Baumgartner , Lisa M. Koch , Marc Pollefeys , Ender Konukoglu

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…

Computer Vision and Pattern Recognition · Computer Science 2015-12-29 M. R. Avendi , A. Kheradvar , H. Jafarkhani

Accurate segmentation of the Left Ventricle (LV) holds substantial importance due to its implications in disease detection, regional analysis, and the development of complex models for cardiac surgical planning. CMR is a golden standard for…

Image and Video Processing · Electrical Eng. & Systems 2024-07-31 Maria Tamoor , Abbas Raza Ali , Philemon Philip , Ruqqayia Adil , Rabia Shahid , Asma Naseer

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

Left ventricular ejection fraction (LVEF) is a key indicator of cardiac function and plays a central role in the diagnosis and management of cardiovascular disease. Echocardiography, as a readily accessible and non-invasive imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Shravan Saranyan , Pramit Saha

Purpose: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function. However, delineation of the left ventricle is challenging due to the inherent properties of ultrasound…

Image and Video Processing · Electrical Eng. & Systems 2021-09-07 Deepa Krishnaswamy , Abhilash R. Hareendranathan , Tan Suwatanaviroj , Pierre Boulanger , Harald Becher , Michelle Noga , Kumaradevan Punithakumar

Anatomical and biophysical modeling of left atrium (LA) and proximal pulmonary veins (PPVs) is important for clinical management of several cardiac diseases. Magnetic resonance imaging (MRI) allows qualitative assessment of LA and PPVs…

Computer Vision and Pattern Recognition · Computer Science 2017-05-23 Aliasghar Mortazi , Rashed Karim , Kawal Rhode , Jeremy Burt , Ulas Bagci

Background: Cardiac MRI derived biventricular mass and function parameters, such as end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), stroke volume (SV), and ventricular mass (VM) are clinically well…

Computer Vision and Pattern Recognition · Computer Science 2017-06-15 Hinrich B Winther , Christian Hundt , Bertil Schmidt , Christoph Czerner , Johann Bauersachs , Frank Wacker , Jens Vogel-Claussen

Segmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction. However, the automatic LV segmentation in 2D echocardiographic images is a challenging task due to…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Shakiba Moradi , Mostafa Ghelich-Oghli , Azin Alizadehasl , Isaac Shiri , Niki Oveisi , Mehrdad Oveisi , Majid Maleki , Jan Dhooge

Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of the heart. This step is still performed semi-automatically in clinical routine, and is thus prone to inter- and intra-observer variability.…

Accurate and efficient quantification of cardiac function is essential for the estimation of prognosis of cardiovascular diseases (CVDs). One of the most commonly used metrics for evaluating cardiac pumping performance is left ventricular…

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…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Mina Nasr-Esfahani , Majid Mohrekesh , Mojtaba Akbari , S. M. Reza Soroushmehr , Ebrahim Nasr-Esfahani , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

Cardiac MR image segmentation is essential for the morphological and functional analysis of the heart. Inspired by how experienced clinicians assess the cardiac morphology and function across multiple standard views (i.e. long- and…

Image and Video Processing · Electrical Eng. & Systems 2019-12-18 Chen Chen , Carlo Biffi , Giacomo Tarroni , Steffen Petersen , Wenjia Bai , Daniel Rueckert

Accurate LVEF measurement is important in clinical practice as it identifies patients who may be in need of life-prolonging treatments. This paper presents a deep learning based framework to automatically estimate left ventricular ejection…

Image and Video Processing · Electrical Eng. & Systems 2023-04-18 Meghan Muldoon , Naimul Khan

Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All these applications rely on accurate extraction of the…

Computer Vision and Pattern Recognition · Computer Science 2016-11-07 Shusil Dangi , Nathan Cahill , Cristian A. Linte

Manual segmentation of the Left Ventricle (LV) is a tedious and meticulous task that can vary depending on the patient, the Magnetic Resonance Images (MRI) cuts and the experts. Still today, we consider manual delineation done by experts as…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Alexandre Attia , Sharone Dayan

Cardiac magnetic resonance imaging improves on diagnosis of cardiovascular diseases by providing images at high spatiotemporal resolution. Manual evaluation of these time-series, however, is expensive and prone to biased and…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 Fabian Isensee , Paul Jaeger , Peter M. Full , Ivo Wolf , Sandy Engelhardt , Klaus H. Maier-Hein

Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can provide information to predict treatment outcome in atrial…

Computer Vision and Pattern Recognition · Computer Science 2018-12-07 Shuman Jia , Antoine Despinasse , Zihao Wang , Hervé Delingette , Xavier Pennec , Pierre Jaïs , Hubert Cochet , Maxime Sermesant
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