Model-based parameter recovery from uncalibrated optical images

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 resul...

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Bibliographic Details
Published inMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 8; no. Pt 2; p. 509
Main Authors Preece, S J, Styles, I B, Cotton, S D, Claridge, E, Calcagni, A
Format Journal Article
LanguageEnglish
Published Germany 2005
Subjects
Algorithms
Artificial Intelligence
Calibration
Computer Simulation
Dermoscopy - methods
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Models, Biological
Ophthalmoscopy - methods
Optics and Photonics
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
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Summary: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.
DOI:10.1007/11566489_63