Literature DB >> 8575158

Computer simulations of human lung structures for medical applications.

T B Martonen1, Y Yang, D Hwang, J S Fleming.   

Abstract

Knowledge of the structure of the human lung has salient health effects applications. The clinical issues encompass: (1) aerosol therapy, the targeted delivery of inhaled particles to enhance the efficacies of pharmacologic drugs; and (2) nuclear medicine, where planar gamma camera imaging, Single Photon Emission Computer Tomography (SPECT) and Positron Emission Tomography (PET) assess the distribution patterns of radiolabeled diagnostic particles and gases. If the resolution of such images could be enhanced, medical regimens would greatly benefit. Therefore, the focused objective of our work was to develop 3-D mathematical descriptions of the complex airway networks within the lung. A Silicon Graphics workstation was used to depict the daedal structures. The computer-generated color illustrations presented herein are intended to complement medical investigation. They will assist the clinician by serving as templates for the lung and, thereby, providing a real basis for the analysis of relatively abstract images. The illustrations identify individual airways and could be of great importance to physicians in the treatment of airway diseases occurring at well defined locations (e.g. bronchogenic carcinomas). To demonstrate that computers can be actively integrated into medical research and practice we have addressed SPECT images of a subject. Computer templates will aid future clinical investigators in two major ways: (1) the interpretation of a planar gamma camera, SPECT and PET images; and (2) the design of drug testing protocols using inhalation exposures. Considering their usefulness for demonstration, the lung simulations have the potential of playing a substantive role in education.

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Year:  1995        PMID: 8575158     DOI: 10.1016/0010-4825(95)00027-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Airway identification within planar gamma camera images using computer models of lung morphology.

Authors:  Jeffry D Schroeter; John N Pritchard; Dongming Hwang; Ted B Martonen
Journal:  Pharm Res       Date:  2005-09-22       Impact factor: 4.200

2.  Morphological and functional properties of the conducting human airways investigated by in vivo computed tomography and in vitro MRI.

Authors:  Tristan Van de Moortele; Christine H Wendt; Filippo Coletti
Journal:  J Appl Physiol (1985)       Date:  2017-11-02

3.  Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure.

Authors:  Ashley A Colletti; Reza Amini; David W Kaczka
Journal:  Comput Biol Med       Date:  2011-08-27       Impact factor: 4.589

4.  Study of the three-dimensional geometry of the central conducting airways in man using computed tomographic (CT) images.

Authors:  V Sauret; P M Halson; I W Brown; J S Fleming; A G Bailey
Journal:  J Anat       Date:  2002-02       Impact factor: 2.610

5.  The Creation and Statistical Evaluation of a Deterministic Model of the Human Bronchial Tree from HRCT Images.

Authors:  Spyridon Montesantos; Ira Katz; Marine Pichelin; Georges Caillibotte
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

6.  SARS CoV-2 aerosol: How far it can travel to the lower airways?

Authors:  Mohammad S Islam; Puchanee Larpruenrudee; Akshoy Ranjan Paul; Gunther Paul; Tevfik Gemci; Yuantong Gu; Suvash C Saha
Journal:  Phys Fluids (1994)       Date:  2021-06-03       Impact factor: 3.521

  6 in total

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