Literature DB >> 14561552

Deformable biomechanical models: application to 4D cardiac image analysis.

M Sermesant1, C Forest, X Pennec, H Delingette, N Ayache.   

Abstract

This article describes a methodology for creating a generic volumetric biomechanical model from different image modalities and segmenting time series of medical images using this model. The construction of such a generic model consists of three stages: geometric meshing, non-rigid deformation of the mesh in images of various modalities, and image-to-mesh information mapping through rasterization. The non-rigid deformation stage, which relies on a combination of global and local deformations, can then be used to segment time series of images, e.g. cine MRI or gated SPECT cardiac images. We believe that this type of deformable biomechanical model can play an important role in the extraction of useful quantitative local parameters of cardiac function. The biomechanical model of the heart will be coupled with an electrical model of another collaborative project in order to simulate and analyze a larger class of pathologies.

Mesh:

Year:  2003        PMID: 14561552     DOI: 10.1016/s1361-8415(03)00068-9

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  14 in total

1.  3D multi-object segmentation of cardiac MSCT imaging by using a multi-agent approach.

Authors:  Julien Fleureau; Mireille Garreau; Dominique Boulmier; Alfredo Hernández
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

Review 2.  Deformable medical image registration: a survey.

Authors:  Aristeidis Sotiras; Christos Davatzikos; Nikos Paragios
Journal:  IEEE Trans Med Imaging       Date:  2013-05-31       Impact factor: 10.048

3.  Spatiotemporal Strategies for Joint Segmentation and Motion Tracking From Cardiac Image Sequences.

Authors:  Huafeng Liu; Ting Wang; Lei Xu; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2017-02-23       Impact factor: 3.316

4.  Effect of material property heterogeneity on biomechanical modeling of prostate under deformation.

Authors:  Navid Samavati; Deirdre M McGrath; Michael A S Jewett; Theo van der Kwast; Cynthia Ménard; Kristy K Brock
Journal:  Phys Med Biol       Date:  2014-12-09       Impact factor: 3.609

5.  Computing group cardinality constraint solutions for logistic regression problems.

Authors:  Yong Zhang; Dongjin Kwon; Kilian M Pohl
Journal:  Med Image Anal       Date:  2016-06-11       Impact factor: 8.545

6.  Analysis of passive cardiac constitutive laws for parameter estimation using 3D tagged MRI.

Authors:  Myrianthi Hadjicharalambous; Radomir Chabiniok; Liya Asner; Eva Sammut; James Wong; Gerald Carr-White; Jack Lee; Reza Razavi; Nicolas Smith; David Nordsletten
Journal:  Biomech Model Mechanobiol       Date:  2014-12-16

Review 7.  Three-dimensional cardiac computational modelling: methods, features and applications.

Authors:  Alejandro Lopez-Perez; Rafael Sebastian; Jose M Ferrero
Journal:  Biomed Eng Online       Date:  2015-04-17       Impact factor: 2.819

8.  A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation.

Authors:  Alexander I Veress; Gregory Klein; Grant T Gullberg
Journal:  Int J Biomed Imaging       Date:  2013-06-13

9.  Utilizing FEM-Software to quantify pre- and post-interventional cardiac reconstruction data based on modelling data sets from surgical ventricular repair therapy (SVRT) and cardiac resynchronisation therapy (CRT).

Authors:  Janko F Verhey; Nadia S Nathan
Journal:  Biomed Eng Online       Date:  2006-10-31       Impact factor: 2.819

10.  Generation of myocardial wall surface meshes from segmented MRI.

Authors:  Oskar Skrinjar; Arnaud Bistoquet
Journal:  Int J Biomed Imaging       Date:  2009-12-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.