Abstract
The National Library of Medicine and its partners are sponsoring Insight, a public software toolkit for segmentation and registration of high dimensional medical data. An essential element of this initiative is the development of a validation methodology, a common means of comparing the precision, accuracy, and efficiency of segmentation and registration methods. The goal is to make accessible the data, protocol standards, and support software necessary for a common platform for the whole medical image processing community. This paper outlines the issues and design principles for the test and training data and the supporting software that comprise the proposed Insight Validation Suite. We present the methods for establishing the functional design requirements. We also present a framework for the validation of segmentation and registration software and make some suggestions for validation trials. We conclude with some specific recommendations to improve the infrastructure for validating medical image processing research.
Chapter PDF
Similar content being viewed by others
References
Banvard, R.A., Cerveri, P. (eds.): Proceedings of the Second Visible Human Project Conference, October 1-2. US Dept. of Health and Human Services, Public Health Service, NTH, Bethesda, MD (1998)
Hauser, J., Clausing, D.: The House of Quality. Harvard Business Review, 63–73 (May-June 1988)
Kano, N.: A Perspective on Quality Activities in American Firms. California Management Review 35/3, 12–31 (Spring 1993)
NIDCR, 1993 Summary Report: Virtual Head and Neck Anatomy Workshop. US Dept. of Health and Human Services, Public Health Service, NIH, Bethesda, MD, February 25 (1998), http://www.nidcr.nih.gov/news/strat%2Dplan/headneck/contents.htm
Spitzer, V., Ackerman, M.J., Scherzinger, A.L., Whitlock, D.: The Visible Human Male: A Technical Report. J. of the Am. Medical Informatics Assoc. 3(2), 118–130 (1996)
Yoo, T.S., Ackerman, M.J.: A New Program in Medical Image Data Processing. In: Westwood, J., et al. (eds.) Medicine Meets Virtual Reality 2000 (Proceedings of the 8th Annual Medicine Meets Virtual Reality Conference), pp. 385–391. IOS Press, Amsterdam (2000)
Yu, V.L., et al.: Antimicrobial Selection by a Computer. J. of the Am. Medical Assoc. 242(12), 1279–1282 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yoo, T.S., Ackerman, M.J., Vannier, M. (2000). Toward a Common Validation Methodology for Segmentation and Registration Algorithms. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-40899-4_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41189-5
Online ISBN: 978-3-540-40899-4
eBook Packages: Springer Book Archive