A validation benchmark for assessment of medial surface quality for medical applications

Authors:
Agnés Borràs;Debora Gil;Sergio Vera;Miguel Angel González
Affiliations:
Computer Vision Center, Comp. Science Dep., UAB, Spain,Alma I.T. Systems, Barcelona, Spain;Computer Vision Center, Comp. Science Dep., UAB, Spain,Alma I.T. Systems, Barcelona, Spain;Computer Vision Center, Comp. Science Dep., UAB, Spain,Alma I.T. Systems, Barcelona, Spain;Computer Vision Center, Comp. Science Dep., UAB, Spain,Alma I.T. Systems, Barcelona, Spain
Venue:
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Year:
2013

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Abstract

Confident use of medial surfaces in medical decision support systems requires evaluating their quality for detecting pathological deformations and describing anatomical volumes. Validation in the medical imaging field is a challenging task mainly due to the difficulties for getting consensual ground truth. In this paper we propose a validation benchmark for assessing medial surfaces in the context of medical applications. Our benchmark includes a home-made database of synthetic medial surfaces and volumes and specific scores for evaluating surface accuracy, its stability against volume deformations and its capabilities for accurate reconstruction of anatomical volumes.