Signal filtering algorithm for depth-selective diffuse optical topography.
A compact filtered backprojection algorithm that suppresses the undesirable effects of skin circulation for near-infrared diffuse optical topography is proposed. Our approach centers around a depth-selective filtering algorithm that uses an inverse problem technique and extracts target signals from observation data contaminated by noise from a shallow region. The filtering algorithm is reduced to a compact matrix and is therefore easily incorporated into a real-time system. To demonstrate the validity of this method, we developed a demonstration prototype for depth-selective diffuse optical topography and performed both computer simulations and phantom experiments. The results show that the proposed method significantly suppresses the noise from the shallow region with a minimal degradation of the target signal.
Fujii
M
M
Faculty of Science and Technology, Sophia University, 7-1 Kioicho, Chiyoda, Tokyo 102-8554, Japan. m-fujii@sophia.ac.jp
Nakayama
K
K
D000465:Algorithms; D005240:Feasibility Studies; D007089:Image Enhancement / Q000379:methods*; D008954:Models, Biological; D055095:Optics and Photonics / Q000379:methods*; D019047:Phantoms, Imaging; D012039:Regional Blood Flow; D012867:Skin / Q000098:blood supply