PT Unknown
AU Debora Gil
   Agnes Borras
   Sergio Vera
   Miguel Angel Gonzalez Ballester
TI A Validation Benchmark for Assessment of Medial Surface Quality for Medical Applications
BT 9th International Conference on Computer Vision Systems
PY 2013
BP 334
EP 343
VL 7963
DI 10.1007/978-3-642-39402-7_34
DE Medial Surfaces; Shape Representation; Medical Applications; Performance Evaluation
AB 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.
ER