完整後設資料紀錄
DC 欄位語言
dc.contributor.authorSun, Hao-Janen_US
dc.contributor.authorHou, Hsiang-Wenen_US
dc.contributor.authorChou, Chia-Chingen_US
dc.contributor.authorFang, Wai-Chien_US
dc.date.accessioned2018-08-21T05:56:39Z-
dc.date.available2018-08-21T05:56:39Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn2163-4025en_US
dc.identifier.urihttp://hdl.handle.net/11536/146461-
dc.description.abstractDiffuse 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.en_US
dc.language.isoen_USen_US
dc.subjectdiffuse optical tomography ( DOT)en_US
dc.subjectsparse recovery methodsen_US
dc.subjectimage reconstructionen_US
dc.titleDiffuse Optical Tomography Image Reconstruction Based on Sparse Recovery Methodsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)en_US
dc.citation.spage616en_US
dc.citation.epage619en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000398907900165en_US
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