Voxel-based, parallel simulation of light in skin tissue for the reconstruction of subsurface skin lesion volumes
Document Type
Conference Proceeding
Publication Date
12-26-2011
Abstract
Early detection and diagnosis of skin cancer is essential to treating the malignancy and preventing death. Subsurface features and depth information are critical in evaluating a skin lesion for this early malignancy screening. We present a novel voxel-based Monte Carlo simulation of light propagation in skin tissue which runs in a highly parallel environment on desktop graphics processors, resulting in an extremely fast simulation of millions of photons in less than one second. We then use this model in a genetic algorithm for the inverse 3D volume reconstruction of a skin lesion, given a set of multispectral images obtained using non-invasive transillumination imaging. Our method demonstrates improved accuracy at a superior resolution to existing methods. © 2011 IEEE.
Identifier
84861704503 (Scopus)
ISBN
[9781424441211]
Publication Title
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS
External Full Text Location
https://doi.org/10.1109/IEMBS.2011.6092084
ISSN
1557170X
PubMed ID
22256308
First Page
8448
Last Page
8451
Recommended Citation
D'Alessandro, Brian and Dhawan, Atam P., "Voxel-based, parallel simulation of light in skin tissue for the reconstruction of subsurface skin lesion volumes" (2011). Faculty Publications. 10949.
https://digitalcommons.njit.edu/fac_pubs/10949
