Paper
14 September 1993 Automatic development of physical-based models of organ systems from magnetic resonance imagery
Ian R. Greenshields, Junchul Chun, Gale Ramsby M.D.
Author Affiliations +
Abstract
The essential goal of this work described herein is to provide a biophysical model within which the effects of the alteration of a variety of geometrical or physical variables within the CSF system can be explored. Our ultimate goal is to be able to divorce such models from the constraints of the artificial geometries (e.g., generalized cylinders) so typical of the usual biophysical model, and to this end we have determined that each structure to be modelled be developed from an actual in-vivo example of the structure, determined by extraction from CT or MR imagery. Onto such models we will then overlay a biophysical structure which will permit us to simulate a variety of different conditions and thereby determine (up to model accuracy) how the simulated condition might in fact impact the in vivo structure were it to be faced with a similar set of physical conditions.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ian R. Greenshields, Junchul Chun, and Gale Ramsby M.D. "Automatic development of physical-based models of organ systems from magnetic resonance imagery", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154554
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Systems modeling

Image processing

Magnetic resonance imaging

Brain

Computing systems

Chemical elements

In vivo imaging

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