Convergence rate calculation of simultaneous iterative reconstruction technique algorithm for diffuse optical tomography image reconstruction: A feasibility study

Chuang, Ching-Cheng; Tsai, Jui-che; Chen, Chung-Ming; Yu, Zong Han; Sun, Chia‐Wei

doi:10.1016/j.optcom.2011.12.042

Cited by 2 publications

(2 citation statements)

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“…DOT is a low-cost, portable, and noninvasive imaging technique using a non-ionized beam. 8,9 DOT also provides information about tissue oxygen saturation using more than one laser wavelength. [10][11][12] A wavelength ranging between 600 and 1000 nm (nearinfrared region) is typically used 7 in DOT.…”

Section: Introductionmentioning

confidence: 99%

“…DOT aims at producing spatially resolved images based on the blood distribution in tissues and provides 6,7 functional images complementary structural information for MRI scans and X‐rays. DOT is a low‐cost, portable, and noninvasive imaging technique using a non‐ionized beam 8,9 . DOT also provides information about tissue oxygen saturation using more than one laser wavelength 10–12 .…”

Section: Introductionmentioning

confidence: 99%

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Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging

Üncü

Sevim

Canpolat

2021

Int J Imaging Syst Tech

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The continuous-wave back reflection diffuse optical tomography (rCWDOT) system is one of the new medical imaging modalities. This study examines the success of reconstruction and three-dimensional (3D) image processing algorithms on data obtained from a heterogonous breast phantom by rCWDOT. Breast phantoms were prepared by putting a bit of spleen inside the tail. The spleen mimics a breast tumor since it has more blood than tail fat. rCWDOT was used to acquire data from the breast phantoms. The breast phantoms were reconstructed using the transpose-free quasi-minimal residual (TFQMR) reconstruction algorithm. Then, image processing algorithms were performed to improve the image quality. In image processing, 3D Gaussian filtering and bi-cubic interpolation were used to enhance the appearance and remove noise from the images. After the image processing, the images were evaluated numerically using the peak signal-to-noise ratio (PSNR) method. It has been shown that the used reconstruction technique and image processing algorithms for a heterogeneous breast phantom provided 3D images that resemble actual ones. This study will help researchers use the most convenient reconstruction algorithm and image processing algorithms and perform preclinical experiments in this field.

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