A VLSI-inspired image reconstruction algorithm for continuous-wave diffuse optical tomography systems

Yuan Huang Hsu*, Chih Chung Fu, Wai-Chi  Fang, Tzu-Hsien Sang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In recent years, there has been an increasing interest in diffuse optical tomography (DOT). The image accuracy and computational complexity are greatly affected by the reconstruction algorithm. This paper aims at providing an efficient reconstruction technique which can be implemented in VLSI for advanced portable devices. Various inhomogeneous absorption models are used in simulations of continuous-wave DOT systems. The accuracy and time consumption are calculated and compared for both frame and sub-frame modes. Mean square errors (MSE) are derived to quantify the accuracy of different modes. Decreasing the complexity of algorithm and enhancing the quality of image can be achieved by adjusting the truncated parameter and reconstructive mode. This study has shown that the sub-frame mode with truncated Jacobi Singular Value Decomposition (TJSVD) algorithm is the method with higher efficiency and better quality. It can also be implemented in VLSI for continuous-wave DOT.

Original languageEnglish
Title of host publication2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
Pages88-91
Number of pages4
DOIs
StatePublished - 23 Jul 2009
Event2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 - Bethesda, MD, United States
Duration: 9 Apr 200910 Apr 2009

Publication series

Name2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009

Conference

Conference2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
CountryUnited States
CityBethesda, MD
Period9/04/0910/04/09

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    Hsu, Y. H., Fu, C. C., Fang, W-C., & Sang, T-H. (2009). A VLSI-inspired image reconstruction algorithm for continuous-wave diffuse optical tomography systems. In 2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 (pp. 88-91). [4906716] (2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009). https://doi.org/10.1109/LISSA.2009.4906716