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Proceedings Paper

Three-dimensional data fusion for biomedical surface reconstruction
Author(s): John M. Zachary; S. Sitharama Iyengar
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Paper Abstract

Traditional surface reconstruction techniques have focused exclusively on contour sections in one anatomical direction. However, in certain medical situations, such as in presurgical planning and radiation treatment, medical scans are taken of the patient in three orthogonal directions to better localize pathologies. Fusion techniques must be used to register this data with respect to a surface fitting method. We explore the issues involved in fusing data from ellipsoid anatomy, such as the brain, heart, and major organs. The output of the fusion process is a set of data points which are correlated to one another to represent the surface of a single object. This data network is then used as input to a surface fitting algorithm which depends on two sampling metrics which we derive. The solution to this problem is important in presurgical planning, radiation treatment, and telemedical systems.

Paper Details

Date Published: 16 June 1997
PDF: 9 pages
Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); doi: 10.1117/12.276114
Show Author Affiliations
John M. Zachary, Louisiana State Univ. (United States)
S. Sitharama Iyengar, Louisiana State Univ. (United States)


Published in SPIE Proceedings Vol. 3067:
Sensor Fusion: Architectures, Algorithms, and Applications
Belur V. Dasarathy, Editor(s)

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