Abstract
We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and interpretation of non-melanocytic skin cancers and acne; and for the more challenging ocular fundus, for mapping of the pigment xanthophyll.
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Preece, S.J., Styles, I.B., Cotton, S.D., Claridge, E., Calcagni, A. (2005). Model-Based Parameter Recovery from Uncalibrated Optical Images. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_63
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DOI: https://doi.org/10.1007/11566489_63
Publisher Name: Springer, Berlin, Heidelberg
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