Inter-update Metz filtering as regularization for variable block-ART in PET reconstruction

Mustapha Sadki; Maite Trujillo San-Martin

doi:10.1117/12.587631

11 March 2005 Inter-update Metz filtering as regularization for variable block-ART in PET reconstruction

Mustapha Sadki, Maite Trujillo San-Martin

Author Affiliations +

Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.587631
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Positron Emission Tomography (PET) is a technology that uses short-lived radio nuclides altered by disease and precede changes that can be visualized by cross-sectional imaging. Over the last decade, this technique has become an important clinical tool for detection of tumors, follow-up treatment and drug research, providing an understanding of dynamic physiological processes. Since PET needs improved reconstruction algorithms to facilitate clinical diagnosis, we will investigate an improved iterative algorithm. Amongst current algorithms applied for PET reconstruction, ART was first proposed as a method of reconstruction from CT projections. With appropriate tuning, the convergence of these algorithms could be very fast indeed. However, the quality of reconstruction using these methods has not been thoroughly investigated. We study a variant of these algorithms. We present the state of the art, review well-known ART and investigate an optimum dynamically-changing block structure for the not yet fully explored variable-Block ART, which uses jointly the Inter-Update Metz filter for regularization and exploits the full symmetries in PET scanners. This reveals significant acceleration of initial convergence to an acceptable reconstruction of inconsistent cases. To assess the quality and analyze any discrepancy of the reconstructed images, two figures of merit (FOMs) are used to evaluate two 3D Data phantoms acquired on a GE-Advance scanner for high statistics.

Citation Download Citation

Mustapha Sadki and Maite Trujillo San-Martin "Inter-update Metz filtering as regularization for variable block-ART in PET reconstruction", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.587631

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