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year 28, Issue 2 (ICOP & ICPET 2022 2022)
ICOP & ICPET _ INPC _ ICOFS 2022, 28(2): 566-569 |
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Ansari M A, Meysami A. Diffuse optical imaging of breast deep tumor. ICOP & ICPET _ INPC _ ICOFS 2022; 28 (2) :566-569
URL: http://opsi.ir/article-1-2679-en.html
URL: http://opsi.ir/article-1-2679-en.html
1-
2- Laser and Plasma Institute, Shahid Beheshti University
2- Laser and Plasma Institute, Shahid Beheshti University
Abstract: (697 Views)
Diffuse Optical Tomography (DOT) is a non-invasive imaging technique for determination of optical parameters of tissue from boundary measurement to characterize functional behavior and structural properties of tissue. The DOT algorithm essentially consists of two parts: one is a forward model to calculate the light propagation and the resultant outward re-emissions at the boundary of the tissue, based on the diffuse equation. The other is an inverse model searching for the distribution of optical properties. Imaging through highly diffuse medium is a challenge and stability is always an issue due to inverse problem. In this paper, for three-dimensional (3-D) imaging, we used a stack of 2-D binary segmented images of breast tumor as an input of the mesh generator, iso2mesh and then, simulated an imaging system including 25 sources and detectors up and down of tissue. For solving continuous wave (CW) forward of diffuse equation, we used Toast++ open-source software based on a finite-element solver. Then, a non-linear gradient-based optimization with total variation (TV) Regularization was used to reconstruct resulting image, solving inverse problem of DOT and enforcing different smoothness conditions in the solution. Finally, image quality indexes for quality assessment in two depths of tissue were reported.
Keywords: Diffuse Optical Tomography, Forward model, Inverse problem, Image reconstruction, Optical imaging
Type of Study: Experimental |
Subject:
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