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The availability of digital twins for the cardiovascular system will enable insightful computational tools both for research and clinical practice. This, however, demands robust and well defined models and methods for the different steps…

Computational Engineering, Finance, and Science · Computer Science 2024-11-21 Pau Romero , Abel Pedrós , Rafael Sebastian , Miguel Lozano , Ignacio García-Fernández

Statistical shape modeling (SSM) is a valuable and powerful tool to generate a detailed representation of complex anatomy that enables quantitative analysis and the comparison of shapes and their variations. SSM applies mathematics,…

Image and Video Processing · Electrical Eng. & Systems 2022-09-14 Krithika Iyer , Alan Morris , Brian Zenger , Karthik Karanth , Benjamin A Orkild , Oleksandre Korshak , Shireen Elhabian

We consider the problem of locating a point-source heart arrhythmia using data from a standard diagnostic procedure, where a reference catheter is placed in the heart, and arrival times from a second diagnostic catheter are recorded as the…

Tissues and Organs · Quantitative Biology 2018-07-10 Chris Vogl , Peng Zheng , Stephen P. Seslar , Aleksandr Y. Aravkin

Cardiac Magnetic Resonance (CMR) images are widely used for cardiac diagnosis and ventricular assessment. Extracting specific landmarks like the right ventricular insertion points is of importance for spatial alignment and 3D modeling. The…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Sven Koehler , Lalith Sharan , Julian Kuhm , Arman Ghanaat , Jelizaveta Gordejeva , Nike K. Simon , Niko M. Grell , Florian André , Sandy Engelhardt

Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from…

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

A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinning, where the computational mesh of the digital twin is…

Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases. Traditionally, the two tasks have been tackled independently. Here…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Shusil Dangi , Ziv Yaniv , Cristian A. Linte

Background: How can mathematics help us to understand the mechanism of the cardiac motion? The best known approach is to take a mathematical model of the fibered structure, insert it into a more-or-less complex model of cardiac…

Medical Physics · Physics 2014-06-25 Saeed Ranjbar , Mersedeh Karvandi

We present a novel automated method to segment the myocardium of both left and right ventricles in MRI volumes. The segmentation is consistent in 3D across the slices such that it can be directly used for mesh generation. Two specific…

Computer Vision and Pattern Recognition · Computer Science 2018-03-30 Qiao Zheng , Hervé Delingette , Nicolas Duchateau , Nicholas Ayache

Over the past decades, hemodynamics simulators have steadily evolved and have become tools of choice for studying cardiovascular systems in-silico. While such tools are routinely used to simulate whole-body hemodynamics from physiological…

We present a novel approach which aims at high-performance uncertainty quantification for cardiac electrophysiology simulations. Employing the monodomain equation to model the transmembrane potential inside the cardiac cells, we evaluate…

Numerical Analysis · Mathematics 2021-05-06 Seif Ben Bader , Helmut Harbrecht , Rolf Krause , Michael Multerer , Alessio Quaglino , Marc Schmidlin

Learning spatial-temporal correspondences in cardiac motion from images is important for understanding the underlying dynamics of cardiac anatomical structures. Many methods explicitly impose smoothness constraints such as the…

Image and Video Processing · Electrical Eng. & Systems 2022-09-05 Xiaoran Zhang , Chenyu You , Shawn Ahn , Juntang Zhuang , Lawrence Staib , James Duncan

The clinical application of patient-specific modelling of the heart can provide valuable insights in supplementing and advancing methods of diagnosis as well as helping to devise the best possible therapeutic approach for each individual…

Medical Physics · Physics 2023-08-03 Sebastian Skatulla , Carlo Sansour , Mary Familusi , Jagir Hussan , Ntobeko Ntusi

We describe coordinate systems adapted for the space between two surfaces, such as those delineating the highly folded cortex in mammalian brains. These systems are estimated in order to satisfy geometric priors, including streamline…

Optimization and Control · Mathematics 2019-11-20 Laurent Younes , Kwame S. Kutten , J. Tilak Ratnanather

Precise segmentation of the left ventricle (LV) within cardiac MRI images is a prerequisite for the quantitative measurement of heart function. However, this task is challenging due to the limited availability of labeled data and motion…

Computer Vision and Pattern Recognition · Computer Science 2018-10-31 Yuanhan Mo , Fangde Liu , Douglas McIlwraith , Guang Yang , Jingqing Zhang , Taigang He , Yike Guo

The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning (Jasaityte et al., 2013). However, accurate estimation…

Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle (LV), right ventricle (RV) segmentation is still more…

Image and Video Processing · Electrical Eng. & Systems 2024-10-18 Yidong Zhao , Yi Zhang , Orlando Simonetti , Yuchi Han , Qian Tao

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…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Durgesh K. Singh , Ahcene Boubekki , Qing Cao , Svein Arne Aase , Robert Jenssen , Michael Kampffmeyer

Clinical guidelines recommend performing left ventricular (LV) linear measurements in B-mode echocardiographic images at the basal level -- typically at the mitral valve leaflet tips -- and aligned perpendicular to the LV long axis along a…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Durgesh Kumar Singh , Qing Cao , Sarina Thomas , Ahcène Boubekki , Robert Jenssen , Michael Kampffmeyer
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