Leg Scanner for Detection and Tracking of Evolving Pigmented Skin Lesions for Melanoma Cancer Prevention
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Melanoma is an aggressive skin cancer prevalent among the Caucasian population. The site of melanoma is gender dependent: for women the prevalent site is the legs. Success of the treatment strongly correlates with early dysplastic nevus excision. Diagnosis relies on full-body skin examination and baseline photography to locate evolving, and therefore suspicious, moles.We designed the first semi-automated legs scanner which uses one camera and laser range finder to capture images and measurements respectively. The scanner circulates around the leg, along its full length. From the collected data, a 3D leg model with moles is created. The moles are registered over temporal scans for comparison and detection of moles' evolution.Our algorithm was tested on simulated leg model that changes over time. The average accuracy of mole registration from two temporal scans at optimal scanner settings was 94.87% with standard deviation of 6.10.
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Copyright © 2019 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2019
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bondarev-legscannerfordetectionandtrackingofevolving.pdf | 2023-05-05 | Public | Download |