A binocular machine vision system for non-melanoma skin cancer 3D reconstruction

Gorpas, DS; Politopoulos, K; Alexandratou, E; Yova, D

dc.contributor.author	Gorpas, DS	en
dc.contributor.author	Politopoulos, K	en
dc.contributor.author	Alexandratou, E	en
dc.contributor.author	Yova, D	en
dc.date.accessioned	2014-03-01T02:50:17Z
dc.date.available	2014-03-01T02:50:17Z
dc.date.issued	2006	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35029
dc.subject	3D Skin Tumor Imaging	en
dc.subject	Calibration	en
dc.subject	Conjugate Points	en
dc.subject	PDT Assessment	en
dc.subject	Structured Light	en
dc.subject.other	Binoculars	en
dc.subject.other	Calibration	en
dc.subject.other	Image reconstruction	en
dc.subject.other	Skin	en
dc.subject.other	Tumors	en
dc.subject.other	Volumetric analysis	en
dc.subject.other	3D Skin Tumor Imaging	en
dc.subject.other	Conjugate Points	en
dc.subject.other	PDT Assessment	en
dc.subject.other	Structured Light	en
dc.subject.other	Computer vision	en
dc.title	A binocular machine vision system for non-melanoma skin cancer 3D reconstruction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1117/12.643780	en
heal.identifier.secondary	http://dx.doi.org/10.1117/12.643780	en
heal.identifier.secondary	60810D	en
heal.publicationDate	2006	en
heal.abstract	Computer vision advancements have not till now achieved the accurate 3D reconstruction of objects smaller than 1cm diameter. Although this problem is of great importance in dermatology for Non Melanoma Skin Cancer diagnosis and therapy, has not yet been solved. This paper describes the development of a novel volumetric method for NMSC animal model tumors, using a binocular vision system. Monitoring NMSC tumors volume changes during PDT will grant important information for the assessment of the therapeutic progress and the efficiency of the applied drug. The vision system was designed taking into account the targets size and the flexibility. By using high resolution cameras with telecentric lenses most distortion factors were reduced significantly. Furthermore, z-axis movement was possible without requiring calibration, in contrary to wide angle lenses. The calibration was achieved by means of adapted photogrammetric technique. The required time for calibrating both cameras was less than a minute. For accuracy expansion, a structured light projector was used. The captured stereo-pair images were processed with modified morphological filters to improve background contrast and minimize noise. The determination of conjugate points was achieved via maximum correlation values and region properties, thus decreasing significantly the computational cost. The 3D reconstruction algorithm has been assessed with objects of known volumes and applied to animal model tumors with less than 0.6cm diameter. The achieved precision was at very high levels providing a standard deviation of 0.0313mm. The robustness of our system is based on the overall approach and on the size of the targets.	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.doi	10.1117/12.643780	en
dc.identifier.volume	6081	en