Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques

Michael Symonds; Youn-Sik Han; Peter Santago II; Wesley E. Snyder

doi:10.1117/12.174258

1 May 1994 Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques

Michael Symonds, Youn-Sik Han, Peter Santago II, Wesley E. Snyder

Author Affiliations +

Proceedings Volume 2163, Medical Imaging 1994: Physics of Medical Imaging; (1994) https://doi.org/10.1117/12.174258
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

In the reconstruction of positron emission tomography images, each slice of the image volume is individually reconstructed from a sinogram, in which the statistics of the data elements are Poisson and the image data is hidden by the mechanism of projection. We propose a method of image reconstruction which incorporates the given data set and also reflects the a prior knowledge that the image consists of smooth noiseless regions that are separated by sharp edges. This method uses both maximum likelihood and maximum a posteriori techniques in a manner that is similar to techniques used by others, but our method incorporates a bounded prior term and adaptive annealing techniques. These advancements prevent excessive smoothing and address the difficulties presented by parameter selection and image convergence.

Citation Download Citation

Michael Symonds, Youn-Sik Han, Peter Santago II, and Wesley E. Snyder "Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques", Proc. SPIE 2163, Medical Imaging 1994: Physics of Medical Imaging, (1 May 1994); https://doi.org/10.1117/12.174258

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available