Bayes and medical imaging: it's time to make priors a priority

David R. Haynor

doi:10.1117/12.274075

25 April 1997 Bayes and medical imaging: it's time to make priors a priority

David R. Haynor

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274075
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

Bayesian approaches to the analysis of medical images have gained in popularity in the last two decades, in spite of their computational complexity, because they offer a consistent framework for dealing with problems such as model selection and the proper tradeoffs between measurements and prior expectations. A Bayesian approach to the analysis of medical images requires that one give thought to the specification of an image prior which reflects what we know about human anatomy and the broad spatial characteristics of the distribution of disease within the body. We present an approach, based on Markov random fields, to developing prior distributions for medical image analysis and show some preliminary results.

Citation Download Citation

David R. Haynor "Bayes and medical imaging: it's time to make priors a priority", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274075

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