Journal article
Computer-aided analysis of regional lung air content using three-dimensional computed tomographic images and multinomial models
Mathematical modelling, Vol.7(5), pp.1099-1116
1986
DOI: 10.1016/0270-0255(86)90151-X
Abstract
Fast multisliced
X-ray computed tomography yields unique anatomic and physiologic information regarding the function of the heart, lungs, and circulation within the negative pressure environment of the intact thorax. We have applied multinomial models to the distribution of reconstructed lung air content within the large data volumes (up to 4 million 16-bit voxels) generated by the Dynamic Spatial Reconstructor to aid in data analysis. Such modeling coupled with easily accessible user interactive computer graphics routines has proven useful in (1) smoothing over discrete regions of artifact in reconstructed images; (2) allowing for the streamlining of previously time intensive analysis tasks; and (3) providing a convenient numerical framework from which parameters determining regional lung expansion patterns can be assessed.
Details
- Title: Subtitle
- Computer-aided analysis of regional lung air content using three-dimensional computed tomographic images and multinomial models
- Creators
- E.A Hoffman - Department of Physiology and Biophysics Mayo Medical School 200 First Street Southwest Rochester, MN 55905, USAR.S Acharya - Thomson-CGR 48 rue Camille Desmoulins 92130 ISSY les Moulineaux FranceJ.A Wollins - Department of Physiology and Biophysics Mayo Medical School 200 First Street Southwest Rochester, MN 55905, USA
- Resource Type
- Journal article
- Publication Details
- Mathematical modelling, Vol.7(5), pp.1099-1116
- DOI
- 10.1016/0270-0255(86)90151-X
- ISSN
- 0270-0255
- eISSN
- 1878-7231
- Publisher
- Elsevier B.V
- Language
- English
- Date published
- 1986
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984051877602771
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