Visualization of photon propagation and abnormality detection

Jun Ge; Zisheng Le; David Y. Yun

doi:10.1117/12.382735

19 April 2000 Visualization of photon propagation and abnormality detection

Jun Ge, Zisheng Le, David Y. Yun

Proceedings Volume 3917, Optical Biopsy III; (2000) https://doi.org/10.1117/12.382735
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

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.

Citation Download Citation

Jun Ge, Zisheng Le, and David Y. Yun "Visualization of photon propagation and abnormality detection", Proc. SPIE 3917, Optical Biopsy III, (19 April 2000); https://doi.org/10.1117/12.382735

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