Evaluation of HVS models in the application of medical quality assessment

TitreEvaluation of HVS models in the application of medical quality assessment
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Année2012
LangueAnglais
Date du colloque2012
Titre du colloqueSPIE Human Vision and Electronic Imaging XVII
Titre des actes ou de la revueProceedings of the SPIE Human Vision and Electronic Imaging XVII
Volume8291, 25
AuteurZhang, Lu , Cavaro-Ménard, Christine , Le Callet, Patrick
PaysEtats-Unis
VilleSan Francisco
Résumé en anglais

In this study, four of the most widely used Human Visual System (HVS) models are applied on Magnetic Resonance (MR) images for signal detection task. Their performances are evaluated against gold standard derived from radiologists' decisions. The task-based image quality assessment requires taking into account the human perception specificities, for which various HVS models have been proposed. Few works were conducted however to evaluate and compare the suitability of these models with respect to the assessment of medical image qualities. Here we propose to score the performance of each HVS model using the AUC and its variance estimates as the figure of merit. The contribution of this work is twofold: firstly the application of MRMC (multiple-reader, multiple-case) estimates independently of the HVS model's output range, secondly the use of radiologists' consensus as gold standard so that the estimated AUC measures the distance between the HVS model and the radiologist perception.

Notes

Date du colloque : 24/01/2012

URL de la noticehttp://okina.univ-angers.fr/publications/ua1706