Regularized image restoration in nuclear medicine

Ghada Jammal; Albert Bijaoui

doi:10.1117/12.366841

26 October 1999 Regularized image restoration in nuclear medicine

Ghada Jammal, Albert Bijaoui

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366841
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

The problem we are interested in is the restoration of nuclear medicine images acquired by a gamma camera. In a previous paper the authors have developed a wavelet based filtering method enabling to remove one of the major sources of error in nuclear medicine, namely Poisson noise. The purpose of this paper is to show how the restoration algorithm has been improved by introducing the point spread function as additional constraint in the restoration of the wavelet coefficients and choosing the regularization constraint in the object space. We describe a new restoration algorithm where filtering and deconvolution are coupled in a multiresolution frame. The performances are illustrated with simulated data and phantom images.

Citation Download Citation

Ghada Jammal and Albert Bijaoui "Regularized image restoration in nuclear medicine", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366841

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