Use of cross-validation as a stopping rule in emission tomography image reconstruction

Kevin J. Coakley; Jorge Llacer

doi:10.1117/12.43445

1 July 1991 Use of cross-validation as a stopping rule in emission tomography image reconstruction

Kevin J. Coakley, Jorge Llacer

Proceedings Volume 1443, Medical Imaging V: Image Physics; (1991) https://doi.org/10.1117/12.43445
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

Simulated and real Positron Emission Tomography (PET) images are reconstructed using the iterative EM algorithm. The data is split up into independent parts. The EM algorithm is applied to each part and stopped according to a cross-validation procedure. For a variety of simulated and real data sets, stopping points were reached. For simulated data, the average of the reconstructions from a four-way split of the data was visually superior to the reconstruction obtained by applying the EM algorithm to the full data and stopping at a subjectively chosen iteration. For real data, such an improvement was not observed. To remove point artifacts, the reconstructions were filtered.

Citation Download Citation

Kevin J. Coakley and Jorge Llacer "Use of cross-validation as a stopping rule in emission tomography image reconstruction", Proc. SPIE 1443, Medical Imaging V: Image Physics, (1 July 1991); https://doi.org/10.1117/12.43445

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