Share Email Print
cover

Proceedings Paper

A new image-reconstruction approach to optical computed tomography based on BP neural network
Author(s): Qiong Wu; Zhiyu Qian
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A new image reconstruction approach to optical computed tomography is proposed in which a BP neural network is used to express the nonlinear relation between the change of optical properties inside the biology tissue and photons distributing change around the surface. A modeling and simulation tool named Femlab and finite element method has been tested wherein the forward model on a basis of the diffusion equation. Based on the forward problem, a BP neural network was established to solve the inverse problem. Thus, the position and its corresponding optical properties of tissue change could be recognized by the network. New approach was suitable for clinical application for its fast reconstruct characteristic.

Paper Details

Date Published: 11 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792T (11 January 2007); doi: 10.1117/12.725453
Show Author Affiliations
Qiong Wu, Nanjing Univ. of Aeronautics and Astronautics (China)
Zhiyu Qian, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics

© SPIE. Terms of Use
Back to Top