The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography
Abstract
Diffuse optical tomography (DOT) utilizes wavelength range of 750-950 nm to map the spatial distribution of the tissue chromophores of breast tissue for cancer diagnosis or follow up prognosis. DOT allows tomographic reconstructions of tissue optical properties. Several reconstruction methods have been developed to minimize artifacts and obtain more realistic tomographic images. In order to compare four different reconstruction algorithms, data acquired from tissue phantoms using a DOT system. Algebraic reconstruction technique (ART), simultaneous iteration reconstruction technique (SIRT), truncated singular value decomposition (TSVD) and truncated conjugate gradient (TCG) techniques have been compared in terms of location of inclusion in the tissue phantoms. It has been shown that images reconstructed by the subspace techniques, TSVD and TCG locating the inclusion position better than the algebraic methods ART and SIRT. Beside, images reconstructed by TSVD and TCG have less artifact when compared to images of ART and SIRT.
Keywords
References
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Details
Primary Language
English
Subjects
Metrology, Applied and Industrial Physics
Journal Section
Research Article
Authors
Tanju Mercan
This is me
0000-0002-6711-6003
Türkiye
Gençay Sevim
0000-0002-2157-3209
Türkiye
Yiğit Ali Üncü
0000-0001-7398-9540
Türkiye
Serkan Uslu
This is me
0000-0002-0875-5905
Türkiye
Murat Canpolat
*
0000-0003-3298-9725
Türkiye
Publication Date
November 30, 2019
Submission Date
April 5, 2019
Acceptance Date
September 23, 2019
Published in Issue
Year 2019 Volume: 14 Number: 2
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