Work

Shape-constrained reconstruction in diffuse optical tomography by simulated annealing

Year: 2021

Type: preprint

Abstract: When the inverse problem of diffuse optical tomography (DOT) is solved with the Born or Rytov approximation, the size of the matrix of the linear inverse problem becomes large if the volume (or area) of the domain in biological tissue used for reconstruction is large. The number of unknown parameters in DOT is reduced when constraints about the shape of a target are imposed for the inverse problem. Due to such constraints, the inverse problem becomes nonlinear even when the (first) Born or Rytov approximation is employed. We solve this nonlinear inverse problem by the simulated annealing, which is not trapped by local minima of the cost function.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2107.09799

Authors: Mimura, Tetsuya, Jiang, Yu, Todoroki, Norikazu, Machida, Manabu

Institutions: Hamamatsu Photonics (Japan), Hamamatsu University School of Medicine, Hamamatsu Medical Center, Shanghai University of Finance and Economics, Chiba Institute of Technology

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Japan Society for the Promotion of Science

Award: G8091578209

OpenAlex ID: W3183964524

Cites: 16

Cited by:

Related to: 10