Deformable template models for emission tomography

Author

Amit, Yali ; Manbeck, Kevin M.

Author_Institution

Dept. of Stat., Chicago Univ., IL, USA

Volume

12

Issue

2

fYear

1993

fDate

6/1/1993 12:00:00 AM

Firstpage

260

Lastpage

268

Abstract

The reconstruction of emission tomography data is an ill-posed inverse problem and, as such, requires some form of regularization. Previous efforts to regularize the restoration process have incorporated rather general assumptions about the isotope distribution within a patient´s body. A theoretical and algorithmic framework is presented in which the notion of a deformable template can be used to identify and quantify brain tumors in pediatric patients. Patient data and computer simulation experiments are presented which illustrate the performance of the deformable template approach to single photon emission computed tomography

Keywords

modelling; radioisotope scanning and imaging; algorithmic framework; brain tumors; computer simulation; deformable template models; emission tomography data reconstruction; ill-posed inverse problem; isotope distribution; medical diagnostic imaging; nuclear medicine; pediatric patients; regularization; single photon emission computed tomography; Computed tomography; Current measurement; Deformable models; Image generation; Image reconstruction; Image restoration; Magnetic resonance imaging; Neoplasms; Positron emission tomography; Single photon emission computed tomography;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.232254

Filename

232254