NDLI: A non-linear iterative method for multi-layer DOT sub-surface imaging system

Content Provider	IEEE Xplore Digital Library
Author	Hsiang-Wen Hou Shih-Yang Wu Hao-Jan Sun Wai-Chi Fang
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Hsiang-Wen Hou; Shih-Yang Wu; Wai-Chi Fang) \|\| Inst. of Biomed. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Hao-Jan Sun)
Abstract	Diffuse Optical Tomography (DOT) has become an emerging non-invasive technology, and has been widely used in clinical diagnosis. Functional near-infrared (FNIR) is one of the important applications of DOT. However, FNIR is used to reconstruct two-dimensional (2D) images for the sake of good spatial and temporal resolution. In this paper we propose a multiple-input and multiple-output (MIMO) based data extraction algorithm method in order to increase the spatial and temporal resolution. The non-linear iterative method is used to reconstruct better resolution images layer by layer. In terms of theory, the simulation results and original images are nearly identical. The proposed reconstruction method performs good spatial resolution, and has a depth resolutions capacity of three layers.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	198
Ending Page	201
File Size	939747
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Equations Image reconstruction Convergence Detectors Spatial resolution Absorption Monte Carlo Reconstruction Algorithm Iterative Method Three Dimensional Diffuse Optical Tomography Spatial Resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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