PET image reconstruction incorporating anatomical information using segmented regression

Ching-Han Lance Hsu; Richard M. Leahy

doi:10.1117/12.274124

25 April 1997 PET image reconstruction incorporating anatomical information using segmented regression

Ching-Han Lance Hsu, Richard M. Leahy

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274124
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

We describe a Bayesian PET reconstruction method that incorporates anatomical information extracted from a partial volume segmentation of a co-registered magnetic resonance (MR) image. For the purposes of this paper we concentrate on imaging the brain which we assume can be partitioned into four tissue classes: gray matter, white matter, cerebral spinal fluid, and partial volume. The PET image is then modeled as a piece-wise smooth function through a Gibbs prior. Within homogeneous tissue regions the image intensity is assumed to be governed by a thin plate energy function. Rather than use the anatomical information to guide the formation of a binary process representing region boundaries, we use the segmented anatomical image as a template to customize the Gibbs energy in such a way that we apply thin-plate smoothing within homogeneous tissue regions while enforcing zeroth corder continuity as we transition from homogeneous to partial volume regions. Discontinuities in intensity are allowed only at transitions between two different homogeneous regions. We refer to this model as segmented thin-plate regression with controlled continuities. We present the results of a detailed computer simulated phantom study in which partial volume effects are explicitly modeled. Results indicate that we obtain superior region of interest quantitation using this approach in comparison to a 2D partial volume correction method that has previously been proposed for quantitation using filtered backprojection images.

Citation Download Citation

Ching-Han Lance Hsu and Richard M. Leahy "PET image reconstruction incorporating anatomical information using segmented regression", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274124

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