High-resolution reconstruction of dynamic PET image sequences using a low-order approximation

Chien-Min Kao; Jeffrey T. Yap; Miles N. Wernick

doi:10.1117/12.216881

18 August 1995 High-resolution reconstruction of dynamic PET image sequences using a low-order approximation

Chien-Min Kao, Jeffrey T. Yap, Miles N. Wernick

Proceedings Volume 2622, Optical Engineering Midwest '95; (1995) https://doi.org/10.1117/12.216881
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States

Abstract

Positron emission tomography (PET) is a medical imaging modality which produces valuable functional information, but is limited by the poor image quality it provides. Considerable attention has been payed to the problem of reconstructing images in a way that produces better image resolution and noise properties. In dynamic imaging applications PET data are particularly noisy, thus preventing successful recovery of spatial resolution by signal processing applications. In this paper we show that smoothing of image data using a low-order approximation along the time axis can greatly enhance restoration performance.

Citation Download Citation

Chien-Min Kao, Jeffrey T. Yap, and Miles N. Wernick "High-resolution reconstruction of dynamic PET image sequences using a low-order approximation", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); https://doi.org/10.1117/12.216881

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