Model-based parameter recovery from uncalibrated optical images

S.J. Preece, I.B. Styles, S.D. Cotton, E. Claridge, A. Calcagni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention -- MICCAI 2005. 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II
PublisherSpringer
Pages509–516
ISBN (Electronic)9783540320951
ISBN (Print)9783540293262
DOIs
Publication statusPublished - 01 Jan 2005
Externally publishedYes
EventMICCAI 2005. 8th International Conference - Palm Springs, United States
Duration: 26 Oct 200529 Oct 2005

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Science and Business Media Deutschland GmbH
Volume3750
ISSN (Print)0302-9743

Conference

ConferenceMICCAI 2005. 8th International Conference
Country/TerritoryUnited States
CityPalm Springs
Period26/10/200529/10/2005

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