Construction of a human torso model from magnetic resonance images for problems in computational electrocardiography

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Johnson, Christopher R.
Other Author Macleod, Robert S.; Ershler, Phil R.; Harrison, Nora Eccles
Title Construction of a human torso model from magnetic resonance images for problems in computational electrocardiography
Date 1994
Description Applying mathematical models to real situations often requires the use of discrete geometrical models of the solution domain. In some cases destructive measurement of the objects under examination is acceptable, but in biomedical applications the measurements come from imaging techniques such as X-ray, computer tomography (CT), or magnetic resonance imagining (MRI). A necessary early step in the modeling process is then to extract from these images the measurements (locations and distances) that form the basis of the geometrical model. In this paper we describe the construction of a geometrical model of the human thorax based on the high resolution MRI scan of a single subject. We outline the scanning procedure, the image collection and conversion to computerized image files, the segmentation of the images into boundary nodes, and the connection of these nodes into surface, and then volume, meshes. Included are brief descriptions of the tools developed at the CVRTI for this project, as well as our experiences in creating and using them. The result of this work was a pair of models at two different levels of spatial resolution, which set new standards in the area of bioelectric field modeling and the application of these models has been described previously [1, 2].
Type Text
Publisher University of Utah
First Page 94
Last Page 17
Subject Human torso model; MRI
Subject LCSH Human body -- Computer simulation
Language eng
Bibliographic Citation Macleod, R. S., Johnson, C. R., Ershler, P. R., & Harrison, N. E. (1994). Construction of a human torso model from magnetic resonance images for problems in computational electrocardiogrpahy. UUCS-94-017.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 4,257,828 bytes
Identifier ir-main,16306
ARK ark:/87278/s6b85s8c
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2015-04-23
ID 703029
Reference URL https://collections.lib.utah.edu/ark:/87278/s6b85s8c
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