Skip to Main content Skip to Navigation
Journal articles

Model for defining and reporting Reference-based Validation Protocols in Medical Image Processing

Pierre Jannin 1, * Christophe Grova 2 Calvin Maurer Jr. 3
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Objectives. Image processing tools are often embedded in larger systems. Validation of image processing methods is important because the performance of such methods can have an impact on the performance of the larger systems and consequently on decisions and actions based on the use of these systems. Most validation studies compare the direct or indirect results of a method, with a reference that is assumed to be very close or equal to the correct solution. In this paper, we propose a model for defining and reporting reference-based validation protocols in medical image processing. Materials and Methods. The model was built using an ontological approach. Its components were identified from the analysis of initial publications (mainly reviews) on medical image processing, especially registration and segmentation, and from discussions with experts from the medical imaging community during international conferences and workshops. The model was validated by its instantiation for 38 selected papers that include a validation study, mainly for medical image registration and segmentation.
Document type :
Journal articles
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download
Contributor : Aurore Quentin <>
Submitted on : Tuesday, November 6, 2007 - 9:23:03 AM
Last modification on : Friday, March 12, 2021 - 11:10:04 AM
Long-term archiving on: : Monday, April 12, 2010 - 1:25:58 AM



Pierre Jannin, Christophe Grova, Calvin Maurer Jr.. Model for defining and reporting Reference-based Validation Protocols in Medical Image Processing. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2006, 1 (2), pp.63-76. ⟨10.1007/s11548-006-0044-6⟩. ⟨inserm-00185431⟩



Record views


Files downloads