A fully automated optimization algorithm for determining the 3-D patient contour from photo-peak projection data in SPECT

Author

Hebert, Thomas J. ; Gopal, S. Sanjay ; Murphy, Paul

Author_Institution

Dept. of Electr. Eng., Houston Univ., TX, USA

Volume

14

Issue

1

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

122

Lastpage

131

Abstract

The class of noninverse problems versus inverse problems is discussed. A general optimization approach to solving certain constrained noninverse problems is presented. This approach is applied in the area of single photon emission computed tomography to estimate the patient outer contour directly from the photo-peak projection data. The resulting algorithm is fully automated, fast, and the determined 3-D patient contour satisfies smoothness constraints. The accuracy and reliability of the algorithm is evaluated through Monte Carlo simulations, patient studies, and an experimental validation study

Keywords

Monte Carlo methods; inverse problems; medical image processing; optimisation; single photon emission computed tomography; surface topography measurement; 3D patient contour determination; Monte Carlo simulations; SPECT photopeak projection data; constrained noninverse problems; diagnostic nuclear medicine; experimental validation study; fully automated optimization algorithm; medical diagnostic imaging; patient outer contour estimation; patient studies; smoothness constraints; Attenuation; Biological tissues; Cameras; Data mining; Electromagnetic scattering; Image edge detection; Image reconstruction; Particle scattering; 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

10.1109/42.370408

Filename

370408