Image-Based Modeling of Lung Structure and Function

被引:41
|
作者
Tawhai, Merryn H. [1 ]
Lin, Ching-Long [2 ,3 ]
机构
[1] Univ Auckland, Auckland Bioengn Inst, Auckland 1142, New Zealand
[2] Univ Iowa, Dept Mech & Ind Engn, Iowa City, IA 52242 USA
[3] Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA
基金
美国国家卫生研究院;
关键词
multiscale; computational fluid dynamics; pulmonary mechanics; COMPUTATIONAL FLUID-DYNAMICS; PARTICLE DEPOSITION PATTERNS; FINITE-ELEMENT MODELS; AIR-FLOW STRUCTURES; BRONCHIAL TREE; BLOOD-FLOW; PULMONARY VENTILATION; 3-DIMENSIONAL MODEL; BOUNDARY-CONDITIONS; AEROSOL DEPOSITION;
D O I
10.1002/jmri.22382
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The current state-of-the-art in image-based modeling allows derivation of patient-specific models of the lung lobes airways and pulmonary vascular trees The application of traditional engineering analyses of fluid and structural mechanics to image-based subject-specific models has the potential to provide new insight into structure-function relationships in the individual via functional Interpretation that complements imaging and experimental studies Three major issues that are encountered in studies of airflow through the bronchial airways are the representation of airway geometry the imposition of physiological boundary conditions and the treatment of turbulence Here we review some efforts to resolve each of these issues with particular focus on image-based models that have been developed to simulate airflow from the mouth to the terminal bronchiole and subjected to physiologically meaningful boundary conditions via image registration and soft-tissue mechanics models
引用
收藏
页码:1421 / 1431
页数:11
相关论文
共 50 条
  • [1] IMAGE-BASED MODELING WORKFLOW TO RELATE CHANGES OF VILLOUS STRUCTURE TO CHANGES IN FUNCTION
    Scott, Adrienne
    Landeros, Madison
    Hines, Amelia
    Kamilov, Ulugbek
    Odibo, Anthony
    Oyen, Michelle
    [J]. PLACENTA, 2023, 140 : E31 - E32
  • [2] Image-based tree modeling
    Tan, Ping
    Zeng, Gang
    Wang, Jingdong
    Kang, Sing Bing
    Quan, Long
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2007, 26 (03):
  • [3] In Situ Image-based Modeling
    van den Hengel, Anton
    Hill, Rhys
    Ward, Ben
    Dick, Anthony
    [J]. 2009 8TH IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY - SCIENCE AND TECHNOLOGY, 2009, : 107 - 110
  • [4] Image-based plant modeling
    Quan, Long
    Tan, Ping
    Zeng, Gang
    Yuan, Lu
    Wang, Jingdong
    Kang, Sing Bing
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2006, 25 (03): : 599 - 604
  • [5] Image-based modeling and lighting
    Debevec, PE
    [J]. COMPUTER GRAPHICS-US, 1999, 33 (04): : 46 - 50
  • [6] Image-based Facade Modeling
    Xiao, Jianxiong
    Fang, Tian
    Tan, Ping
    Zhao, Peng
    Ofek, Eyal
    Quan, Long
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2008, 27 (05):
  • [7] Quantification of heterogeneity in lung disease with image-based pulmonary function testing
    Charlene S. Stahr
    Chaminda R. Samarage
    Martin Donnelley
    Nigel Farrow
    Kaye S. Morgan
    Graeme Zosky
    Richard C. Boucher
    Karen K. W. Siu
    Marcus A. Mall
    David W. Parsons
    Stephen Dubsky
    Andreas Fouras
    [J]. Scientific Reports, 6
  • [8] Quantification of heterogeneity in lung disease with image-based pulmonary function testing
    Stahr, Charlene S.
    Samarage, Chaminda R.
    Donnelley, Martin
    Farrow, Nigel
    Morgan, Kaye S.
    Zosky, Graeme
    Boucher, Richard C.
    Siu, Karen K. W.
    Mall, Marcus A.
    Parsons, David W.
    Dubsky, Stephen
    Fouras, Andreas
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [9] Image-based simulation and modeling: unlocking small airway function tests?
    Bell, Alex
    Siddiqui, Salman
    [J]. JOURNAL OF APPLIED PHYSIOLOGY, 2020, 129 (03) : 580 - 582
  • [10] Image-Based Modeling for Virtual Museum
    Kim, Jin-Mo
    Shin, Do-Kyung
    Ahn, Eun-Young
    [J]. MULTIMEDIA, COMPUTER GRAPHICS AND BROADCASTING, PT I, 2011, 262 : 108 - +