Title :
Using optical flow to analyze the motion of human body organs from bioimages
Author :
Tistarelli, M. ; Marcenaro, G.
Author_Institution :
DIST, Genoa Univ., Italy
Abstract :
It is evident that human body organs movement analysis requires the study of the dynamic evolution of an image sequence (2D or 3D), i.e. the analysis of a data flow versus time. In particular, the proposed approach is based on the computation of the “optical flow”, from two-dimensional and three-dimensional image sequences. This technique is applied to time sequences of magnetic resonance images to study knee joint biomechanics and heart wall motion. Several issues are discussed, related both to the computation of the optical flow field on 3D image sequences, and also concerning the relevance of the flow measurement for clinical diagnosis of pathologies. Moreover, the measurement of motion-related parameters, facilitates the planning for surgical intervention. Experiments performed on real data acquired from healthy patients and patients with heart and knee ligament pathologies are presented
Keywords :
biomechanics; biomedical NMR; cardiology; image sequences; medical image processing; nuclear magnetic resonance imaging; 3D image sequences; bioimages; clinical diagnosis; heart wall motion; human body organs motion analysis; image sequence dynamic evolution; knee joint biomechanics; ligament pathologies; magnetic resonance images; optical flow; surgical intervention planning; Biomedical optical imaging; Heart; Humans; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Knee; Motion analysis; Optical computing;
Conference_Titel :
Biomedical Image Analysis, 1994., Proceedings of the IEEE Workshop on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5802-9
DOI :
10.1109/BIA.1994.315861