Automatic algorithm for registering digital images of multiple skin lesions

Bruce McGregor

doi:10.1117/12.274163

25 April 1997 Automatic algorithm for registering digital images of multiple skin lesions

Bruce McGregor

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274163
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

Malignant melanoma rates are rising rapidly in white populations. Early detection, primarily through observation of new or changing pigmented skin lesions, is crucial for patient survival. Unfortunately these changes are difficult to detect on high-risk patients who have large number of lesions. Photographic records could be invaluable in these cases, but images must first be "registered" to remove distortions introduced by varying camera angles and subject postures. This paper describes a computer algorithm for registering pairs of digital images of multiple skin lesions automatically. The algorithm comprises four steps: (1) locate and label the lesions within each image; (2) identify matching lesions based on local spatial relationships; (3) test and refine lesion matches based on global spatial relationships; and (4) transform one image. Results are presented of the algorithm's performance on images of both simulated and actual skin lesions. The findings demonstrate that registration is successful under realistic imaging conditions. Keywords: image registration, skin lesions, melanoma, matching, point pattern

Citation Download Citation

Bruce McGregor "Automatic algorithm for registering digital images of multiple skin lesions", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274163

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