Literature DB >> 35287285

M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration.

Davis M Vigneault1, Francisco Contijoch2, Christopher P Bridge3, Katherine Lowe2, Chelsea Jan2, Elliot R McVeigh2.   

Abstract

Quantification of regional cardiac function is a central goal of cardiology. Multiple methods, such as Coherent Point Drift (CPD) and Simultaneous Subdivision Surface Registration (SiSSR), have been used to register meshes to the endocardial surface. However, these methods do not distinguish between cardiac chambers during registration, and consequently the mesh may "slip" across the interface between two structures during contraction, resulting in inaccurate regional functional measurements. Here, we present Multilabel-SiSSR (M-SiSSR), a novel method for registering a "labeled" cardiac mesh (with each triangle assigned to a cardiac structure). We compare our results to the original, label-agnostic version of SiSSR and find both a visual and quantitative improvement in tracking of the mitral valve plane.

Entities:  

Keywords:  Cardiac Computed Tomography (CCT); Convolutional Neural Networks (CNNs); Mesh registration; Regional cardiac function; Subdivision surfaces

Year:  2021        PMID: 35287285      PMCID: PMC8918026          DOI: 10.1007/978-3-030-78710-3_24

Source DB:  PubMed          Journal:  Funct Imaging Model Heart


  5 in total

1.  What shape are dolphins? Building 3D morphable models from 2D images.

Authors:  Thomas J Cashman; Andrew W Fitzgibbon
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2013-01       Impact factor: 6.226

2.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

3.  SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines.

Authors:  Davis M Vigneault; Amir Pourmorteza; Marvin L Thomas; David A Bluemke; J Alison Noble
Journal:  Med Image Anal       Date:  2018-03-29       Impact factor: 8.545

4.  User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP.

Authors:  Paul A Yushkevich; Artem Pashchinskiy; Ipek Oguz; Suyash Mohan; J Eric Schmitt; Joel M Stein; Dženan Zukić; Jared Vicory; Matthew McCormick; Natalie Yushkevich; Nadav Schwartz; Yang Gao; Guido Gerig
Journal:  Neuroinformatics       Date:  2019-01

5.  A new method for cardiac computed tomography regional function assessment: stretch quantifier for endocardial engraved zones (SQUEEZ).

Authors:  Amir Pourmorteza; Karl H Schuleri; Daniel A Herzka; Albert C Lardo; Elliot R McVeigh
Journal:  Circ Cardiovasc Imaging       Date:  2012-02-16       Impact factor: 7.792

  5 in total
  1 in total

1.  Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking.

Authors:  Ashish Manohar; Gabrielle M Colvert; Juan E Ortuño; Zhennong Chen; James Yang; Brendan T Colvert; W Patricia Bandettini; Marcus Y Chen; María J Ledesma-Carbayo; Elliot R McVeigh
Journal:  Med Phys       Date:  2022-07-06       Impact factor: 4.506

  1 in total

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