Open AccessOptical Body-Surface Profiling with Coded Markers for Medical Image Registration
Author(s) -
Jin-Tsong Jeng,
Chia-Lun Shu,
Jia-Chiang Wang
Publication year - 2013
Publication title -
international journal of automation and smart technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 10
ISSN - 2223-9766
DOI - 10.5875/ausmt.v3i2.193
Subject(s) - torso , fiducial marker , body surface , computer vision , artificial intelligence , computer science , image registration , surface (topology) , image processing , pattern recognition (psychology) , mathematics , image (mathematics) , geometry , medicine , anatomy
This paper investigates a three-dimensional body-surface optical measurement technique by solving the correspondence problem with the coded markers. The coded markers are printed patterns fixed on the object to be measured. The unique code number of each marker is decoded by using computer-based image processing. Given more than 212 available codes, the three dimensional profile of the torso surface is well approximated with the coded markers. In addition, the focal length and the camera location are found automatically by using the fiducial coded markers at given locations. The proposed body-surface measurement method is suitable for solving the registration problem for non-anatomical medical images such as body-surface potential maps (BSPM) and magnetocardiograms (MCG)