The Monte Carlo method for the evaluation of automatic recontouring algorithms accuracy

Elena Faggiano, Claudio Fiorino, Giovanna Rizzo

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

Abstract

Characterizing the performance of automated contouring algorithm has been a persistent challenge. The accuracy of automated contouring algorithm of medical images has been difficult to quantify because of the absence of a ground truth segmentation of clinical data. A common strategy is to compare the automated contour with the segmentation produced by an expert or by a group of experts. The known problem is that inter-observer and intra-observer variability is very high especially when images to be segmented have low contrast. We present a Monte Carlo method that accounts for this variability and uses it to generate a set of random contours. Then we compare automatic contour with each sampled contours obtaining an estimate of the probability that automatic method is accurate. Our method seems to be able to provide more information than the classical evaluation of similarity between automatic and expert contours does, therefore avoiding the problem of constructing a ground truth.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages621-624
Number of pages4
Volume2
DOIs
Publication statusPublished - 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10/16/1010/18/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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