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Article

Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index

by 1,2, 3,4,* and 1,5,*
1
Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea
2
Department of Electrical Engineering, Institut Teknologi Kalimantan, Balikpapan 76127, Indonesia
3
Department of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
4
Department of Aeronautics, Mechanical and Electronic Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
5
Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea
*
Authors to whom correspondence should be addressed.
Received: 31 October 2021 / Revised: 6 December 2021 / Accepted: 6 December 2021 / Published: 8 December 2021
Diffuse optical tomography is emerging as a non-invasive optical modality used to evaluate tissue information by obtaining the optical properties’ distribution. Two procedures are performed to produce reconstructed absorption and reduced scattering images, which provide structural information that can be used to locate inclusions within tissues with the assistance of a known light intensity around the boundary. These methods are referred to as a forward problem and an inverse solution. Once the reconstructed image is obtained, a subjective measurement is used as the conventional way to assess the image. Hence, in this study, we developed an algorithm designed to numerically assess reconstructed images to identify inclusions using the structural similarity (SSIM) index. We compared four SSIM algorithms with 168 simulated reconstructed images involving the same inclusion position with different contrast ratios and inclusion sizes. A multiscale, improved SSIM containing a sharpness parameter (MS-ISSIM-S) was proposed to represent the potential evaluation compared with the human visible perception. The results indicated that the proposed MS-ISSIM-S is suitable for human visual perception by demonstrating a reduction of similarity score related to various contrasts with a similar size of inclusion; thus, this metric is promising for the objective numerical assessment of diffuse, optically reconstructed images. View Full-Text
Keywords: diffuse optical tomography; structural similarity; human visible perception; numerical evaluation; biosensors diffuse optical tomography; structural similarity; human visible perception; numerical evaluation; biosensors
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MDPI and ACS Style

Mudeng, V.; Kim, M.; Choe, S.-w. Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index. Biosensors 2021, 11, 504. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11120504

AMA Style

Mudeng V, Kim M, Choe S-w. Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index. Biosensors. 2021; 11(12):504. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11120504

Chicago/Turabian Style

Mudeng, Vicky, Minseok Kim, and Se-woon Choe. 2021. "Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index" Biosensors 11, no. 12: 504. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11120504

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