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Link to original content: https://link.springer.com/doi/10.1007/s11548-006-0044-6
Model for defining and reporting reference-based validation protocols in medical image processing | International Journal of Computer Assisted Radiology and Surgery Skip to main content
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Model for defining and reporting reference-based validation protocols in medical image processing

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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.

Results The model includes the main components of a validation procedure and their inter-relationships. A checklist for reporting reference-based validation studies for medical image processing was also developed.

Conclusion The proposed model and associated checklist may be used in formal reference-based validation studies of registration and segmentation and for the complete and accurate reporting of such studies. The model facilitates the standardization of validation terminology and methodology, improves the comparison of validation studies and results, provides insight into the validation process, and, finally, may lead to better quality image management and decision making.

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Authors and Affiliations

  1. Visages, U 746, INSERM-INRIA-CNRS, Medical School, University of Rennes, CS 34317, 35043, Rennes Cedex, France

    Pierre Jannin & Christophe Grova

  2. Montreal Neurological Institute, McGill University, Montreal, Canada

    Christophe Grova

  3. Department of Neurosurgery, Stanford University, Stanford, CA, 94305-5327, USA

    Calvin R. Maurer Jr.

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  1. Pierre Jannin
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  2. Christophe Grova
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  3. Calvin R. Maurer Jr.
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Correspondence to Pierre Jannin.

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Jannin, P., Grova, C. & Maurer, C.R. Model for defining and reporting reference-based validation protocols in medical image processing. Int J CARS 1, 63–73 (2006). https://doi.org/10.1007/s11548-006-0044-6

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