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Proceedings Paper

Visualization of photon propagation and abnormality detection
Author(s): Jun Ge; Zisheng Le; David Y. Yun
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Paper Abstract

An approach to computer assisted imaging diagnosis is introduced for tumor detection in tissues, using softer light sources and detection from both transmission and reflection. A 3D model, described by the diffusion equation, is developed to simulate the photon propagation inside human tissue to detect the tumor or other inclusions. The inclusion is modeled with a different absorption coefficient form that of the otherwise homogeneous media. The ADI algorithm is used to solve the diffusion equation on each spatial grid at each time instance in an interactive manner. The data on a cut section of the model at a certain moment is visualized to be a picture according to the photon intensity value. Pictures of different moments can be linked to construct a dynamic movie for the presentation of the photon propagation procedure on a specific cut-plane. The movies show that in the homogeneous model the photon density has a symmetric concentric distribution on the plane opposite the source. When an off-center inclusion is introduced inside the model, a clear asymmetry appears. The shadow of the inclusion is determined by both the size and the location of the inclusion. If the inclusion is moved to the center, the symmetry is restored, though different from the original image. To reach a more precise result, the derivative of the intensity, with respect to the distance from the light source is computed. From the dynamic derivative curves, the size of the inclusion can be estimated. Experiments verify the conclusion on inclusions of arbitrary dimensions which are larger than 5 mm. A scanning search strategy is proposed for unknown inclusions.

Paper Details

Date Published: 19 April 2000
PDF: 8 pages
Proc. SPIE 3917, Optical Biopsy III, (19 April 2000); doi: 10.1117/12.382735
Show Author Affiliations
Jun Ge, Univ. of Hawaii/Manoa (United States)
Zisheng Le, Univ. of Hawaii/Manoa (United States)
David Y. Yun, Univ. of Hawaii/Manoa (United States)

Published in SPIE Proceedings Vol. 3917:
Optical Biopsy III
Robert R. Alfano, Editor(s)

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