標題: Diffuse Optical Tomography Image Reconstruction Based on Sparse Recovery Methods
作者: Sun, Hao-Jan
Hou, Hsiang-Wen
Chou, Chia-Ching
Fang, Wai-Chi
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: diffuse optical tomography ( DOT);sparse recovery methods;image reconstruction
公開日期: 1-一月-2015
摘要: Diffuse Optical Tomography ( DOT) is a non-invasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm regularization in the estimation problem with 0 < p <= 1. When the number of independent measurements is limited by nature, which is a typical case for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance. According to the simulation results the reconstruction algorithm can parse the tumor clearly with p=0.6. The projection errors are 0.45357, 0.44588, 0.46781, 0.44109, and 0.47174( tumor / background) in each tumor position case using p=0.6. Since that the projection errors with p=0.6 are smaller than projection errors using p=1 or p=2, p=0.6 is selected to be the reconstructed parameter to have the best reconstructed results for the same iteration numbers. Simulation results show that the sparse recovery methods are good to improve the reconstructed image quality.
URI: http://hdl.handle.net/11536/146461
ISSN: 2163-4025
期刊: 2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
起始頁: 616
結束頁: 619
顯示於類別:會議論文