New software developments for quality mesh generation and optimization from biomedical imaging data

被引:7
|
作者
Jun, Zeyun [1 ]
Wang, Jun [1 ,2 ]
Gao, Zhanheng [1 ,3 ]
Xu, Ming [1 ]
Hoshijima, Masahiko [4 ]
机构
[1] Univ Wisconsin, Dept Comp Sci, Milwaukee, WI 53201 USA
[2] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing, Jiangsu, Peoples R China
[3] Jilin Univ, Coll Comp Sci & Technol, Changchun, Peoples R China
[4] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
关键词
Geometric modeling; Tetrahedral mesh generation; Tetrahedral mesh smoothing; Surface re-meshing; Biomedical images; DELAUNAY REFINEMENT; SEGMENTATION; SURFACE;
D O I
10.1016/j.cmpb.2013.08.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper we present a new software toolkit for generating and optimizing surface and volumetric meshes from three-dimensional (3D) biomedical imaging data, targeted at image-based finite element analysis of some biomedical activities in a single material domain. Our toolkit includes a series of geometric processing algorithms including surface re-meshing and quality-guaranteed tetrahedral mesh generation and optimization. All methods described have been encapsulated into a user-friendly graphical interface for easy manipulation and informative visualization of biomedical images and mesh models. Numerous examples are presented to demonstrate the effectiveness and efficiency of the described methods and toolkit. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:226 / 240
页数:15
相关论文
共 50 条
  • [21] Development of Octree-Based High-Quality Mesh Generation Method for Biomedical Simulation
    Katsushima, Keisuke
    Fujita, Kohei
    Ichimura, Tsuyoshi
    Hori, Muneo
    Maddegedara, Lalith
    COMPUTATIONAL SCIENCE - ICCS 2018, PT II, 2018, 10861 : 354 - 367
  • [22] Adaptive generation of multimaterial grids from imaging data for biomedical Lagrangian fluid-structure simulations
    Carson, James P.
    Kuprat, Andrew P.
    Jiao, Xiangmin
    Dyedov, Volodymyr
    del Pin, Facundo
    Guccione, Julius M.
    Ratcliffe, Mark B.
    Einstein, Daniel R.
    BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2010, 9 (02) : 187 - 201
  • [23] Analysis of quality raw data of second generation sequencers with Quality Assessment Software
    Ramos R.T.
    Carneiro A.R.
    Baumbach J.
    Azevedo V.
    Schneider M.P.
    Silva A.
    BMC Research Notes, 4 (1)
  • [24] A New Family of Lifetime Models: Theoretical Developments with Applications in Biomedical and Environmental Data
    Elbatal, Ibrahim
    Khan, Sadaf
    Hussain, Tassaddaq
    Elgarhy, Mohammed
    Alotaibi, Naif
    Semary, Hatem E.
    Abdelwahab, Mahmoud M.
    AXIOMS, 2022, 11 (08)
  • [25] New generation software of structural analysis and design optimization - JIFEX
    Gu, YX
    Zhang, HW
    Guan, ZQ
    Kang, Z
    Li, YP
    Zhong, WX
    STRUCTURAL ENGINEERING AND MECHANICS, 1999, 7 (06) : 589 - 599
  • [26] New developments in the QUB software for single-channel data analysis
    Milescu, LS
    Nicolai, CL
    Qin, F
    Sachs, F
    BIOPHYSICAL JOURNAL, 2002, 82 (01) : 267A - 267A
  • [27] Unstructured mesh generation from the Virtual Family models for whole body biomedical simulations
    Szczerba, Dominik
    Neufeld, Esra
    Zefferer, Marcel
    Szekely, Gabor
    Kuster, Niels
    ICCS 2010 - INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, PROCEEDINGS, 2010, 1 (01): : 837 - 844
  • [28] Bio-Inspired Optimization of Test Data Generation for Concurrent Software
    Vilela, Ricardo F.
    Pinto, Victor H. S. C.
    Colanzi, Thelma E.
    Souza, Simone R. S.
    SEARCH-BASED SOFTWARE ENGINEERING, SSBSE 2019, 2019, 11664 : 121 - 136
  • [29] New Developments in High Harmonic Generation and Applications in Imaging and Materials Science
    Murnane, Margaret
    2016 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2016,
  • [30] New Developments in High Harmonic Generation and Applications in Imaging and Materials Science
    Murnane, Margaret
    2016 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2016,