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Related papers: Left ventricle quantification through spatio-tempo…

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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

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

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection…

The heart is the central part of the cardiovascular network. Its role is to pump blood to various body organs. Many cardiovascular diseases occur due to an abnormal functioning of the heart. A diseased heart leads to severe complications…

Medical Physics · Physics 2024-11-19 Mahesh S. Nagargoje , Eneko Lazpita , Jesús Garicano-Mena , Soledad Le Clainche

How well the heart is functioning can be quantified through measurements of myocardial deformation via echocardiography. Clinical assessment of cardiac function is generally focused on global indices of relative shortening, however,…

Segmentation of the left ventricle in cardiac magnetic resonance imaging MRI scans enables cardiologists to calculate the volume of the left ventricle and subsequently its ejection fraction. The ejection fraction is a measurement that…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Garvit Chhabra , J. H. Gagan , J. R. Harish Kumar

Temporal patterns of cardiac motion provide important information for cardiac disease diagnosis. This pattern could be obtained by three-directional CINE multi-slice left ventricular myocardial velocity mapping (3Dir MVM), which is a…

Image and Video Processing · Electrical Eng. & Systems 2021-11-02 Xiaodan Xing , Yinzhe Wu , David Firmin , Peter Gatehouse , Guang Yang

Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides high resolution images…

Image and Video Processing · Electrical Eng. & Systems 2021-04-01 Roshan Reddy Upendra , Brian Jamison Wentz , Richard Simon , Suzanne M. Shontz , Cristian A. Linte

Early detection of lung nodules with computed tomography (CT) is critical for the longer survival of lung cancer patients and better quality of life. Computer-aided detection/diagnosis (CAD) is proven valuable as a second or concurrent…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Chuang Niu , Ge Wang

Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time-consuming. Deep learning-based…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 Zihao Chen , Xiao Chen , Yikang Liu , Eric Z. Chen , Terrence Chen , Shanhui Sun

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

The limitations of conventional imaging techniques have hitherto precluded a thorough and formal investigation of the complex morphology of the left ventricular (LV) endocardial surface and its relation to the severity of Coronary Artery…

Computer Vision and Pattern Recognition · Computer Science 2013-02-14 Anirban Mukhopadhyay , Zhen Qian , Suchendra M. Bhandarkar , Tianming Liu , Sarah Rinehart , Szilard Voros

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

Prognostic tumor growth modeling via volumetric medical imaging observations can potentially lead to better outcomes of tumor treatment and surgical planning. Recent advances of convolutional networks have demonstrated higher accuracy than…

Computer Vision and Pattern Recognition · Computer Science 2019-09-25 Ling Zhang , Le Lu , Xiaosong Wang , Robert M. Zhu , Mohammadhadi Bagheri , Ronald M. Summers , Jianhua Yao

Cardiovascular diseases represent a leading cause of mortality worldwide, necessitating accurate and early diagnosis for improved patient outcomes. Current diagnostic approaches for cardiac abnormalities often present challenges in clinical…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Seyed Amir Latifi , Hassan Ghassemian , Maryam Imani

Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artificial Intelligence already enhance…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Adrianna Janik , Jonathan Dodd , Georgiana Ifrim , Kris Sankaran , Kathleen Curran

Cardiac magnetic resonance (CMR) images play a growing role in the diagnostic imaging of cardiovascular diseases. Full coverage of the left ventricle (LV), from base to apex, is a basic criterion for CMR image quality and necessary for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-09 Le Zhang , Ali Gooya , Marco Pereanez , Bo Dong , Stefan K. Piechnik , Stefan Neubauer , Steffen E. Petersen , Alejandro F. Frangi

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detection is often limited by available diagnostics. Carotid ultrasound, a non-invasive and widely accessible modality, encodes rich structural…

Understanding the movement of the left ventricle myocardium (LVmyo) during the cardiac cycle is essential for assessing cardiac function. One way to model this movement is through a series of deformable image registrations (DIRs) of the…

Image and Video Processing · Electrical Eng. & Systems 2025-01-14 Mathias Micheelsen Lowes , Jonas Jalili Pedersen , Bjørn S. Hansen , Klaus Fuglsang Kofoed , Maxime Sermesant , Rasmus R. Paulsen

Alterations in the geometry and function of the heart define well-established causes of cardiovascular disease. However, current approaches to the diagnosis of cardiovascular diseases often rely on subjective human assessment as well as…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Carlo Biffi , Ozan Oktay , Giacomo Tarroni , Wenjia Bai , Antonio De Marvao , Georgia Doumou , Martin Rajchl , Reem Bedair , Sanjay Prasad , Stuart Cook , Declan O'Regan , Daniel Rueckert