Automated Detection of Heterogeneity in Medical Tactile Images
Solodova, R.; Staroverov, V.; Galatenko, V.; Galatenko, A.; Solodov, E.; Antonov, A.; Budanov, V.; Sokolov, M.; Sadovnichy, V.
Studies in Health Technology and Informatics 220: 383-389
2016
ISSN/ISBN: 1879-8365 PMID: 27046610 Document Number: 686531
Artificial tactile sensing is a capability important for many applications and, in particular, for endoscopic surgery. A recently developed Medical Tactile Endosurgical Complex (MTEC) that is a certified and commercially available product is an efficient tool that provides such a capability. Currently the analysis of intraoperative tactile images that are registered and visualized by MTEC is performed manually by a surgeon. We show that heterogeneity detection - a key constituent of intraoperative tactile images analysis - can be efficiently automated. Such automation essentially reduces the requirement of attention retaining during the MTEC-based palpation.