title: Sampling scheme optimization for diffuse optical tomography based on data and image space rankings.
abstract: We present a methodology for the optimization of sampling schemes in diffuse optical tomography (DOT). The proposed method exploits singular value decomposition (SVD) of the sensitivity matrix, or weight matrix, in DOT. Two mathematical metrics are introduced to assess and determine the optimum source–detector measurement configuration in terms of data correlation and image space resolution. The key idea of the work is to weight each data measurement, or rows in the sensitivity matrix, and similarly to weight each unknown image basis, or columns in the sensitivity matrix, according to their contribution to the rank of the sensitivity matrix, respectively. The proposed metrics offer a perspective on the data sampling and provide an efficient way of optimizing the sampling schemes in DOT. We evaluated various acquisition geometries often used in DOT by use of the proposed metrics. By iteratively selecting an optimal sparse set of data measurements, we showed that one can design a DOT scanning protocol that provides essentially the same image quality at a much reduced sampling.
authors: Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea.
authors: Sohail
authors: S
authors: Sabir
authors: Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea.
authors: Changhwan
authors: C
authors: Kim
authors: Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea.
authors: Sanghoon
authors: S
authors: Cho
authors: Korea Electrotechnology Research Institute, 111 Hangawool-ro, Ansan 15588, Republic of Korea.
authors: Duchang
authors: D
authors: Heo
authors: Korea Electrotechnology Research Institute, 111 Hangawool-ro, Ansan 15588, Republic of Korea.
authors: Kee Hyun
authors: KH
authors: Kim
authors: Korea Advanced Institute of Science and Technology, Department of Bio and Brain Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea.
authors: Jong Chul
authors: JC
authors: Ye
authors: Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea.
authors: Seungryong
authors: S
authors: Cho
mesh_terms: D000465:Algorithms; D000818:Animals; D006257:Head / Q000000981:diagnostic imaging; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D051379:Mice; D019047:Phantoms, Imaging; D041622:Tomography, Optical / Q000379:methods*