Three-dimensional data fusion for biomedical surface reconstruction

John M. Zachary; S. Sitharama Iyengar

doi:10.1117/12.276114

16 June 1997 Three-dimensional data fusion for biomedical surface reconstruction

John M. Zachary, S. Sitharama Iyengar

Proceedings Volume 3067, Sensor Fusion: Architectures, Algorithms, and Applications; (1997) https://doi.org/10.1117/12.276114
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

John M. Zachary and S. Sitharama Iyengar "Three-dimensional data fusion for biomedical surface reconstruction", Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); https://doi.org/10.1117/12.276114

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