Image reconstruction for a novel Compton scatter tomograph

Single photon emission computed tomography (SPECT) is a widespread medical imaging technology which provides images of metabolic tracer distributions within the body by detecting gamma-ray emissions from decaying radioactive isotopes in the tracer The Compton single photon emission tomograph (C-SPEC...

Full description

Saved in:
Bibliographic Details
Main Authors: Hero, A., Sauve, A., Kragh, T.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical engineering
Biomedical imaging
Computational methods
Electromagnetic scattering
Fast Fourier transforms
Gamma ray detection
Gamma ray detectors
Gamma rays
Image reconstruction
Isotopes
Medical imaging
Metabolism
Optical collimators
Particle scattering
Photonics
Photons
Positron emission tomography
Single photon emission computed tomography
Statistical methods
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Single photon emission computed tomography (SPECT) is a widespread medical imaging technology which provides images of metabolic tracer distributions within the body by detecting gamma-ray emissions from decaying radioactive isotopes in the tracer The Compton single photon emission tomograph (C-SPECT) is a new imaging technology which promises significantly higher sensitivity than standard mechanically collimated SPECT scanners due its use of fully 3D electronic collimation of Compton scattered gamma-rays. Since the C-SPECT scanner generates extremely large data sets, and since the gamma-ray emission and detection processes are governed by the statistical physics of nuclear interactions, the theory of large scale statistical signal and image processing must play a significant role in the development of this new technology. In this paper we summarize results on the application of estimation theoretic lower bounds and image reconstruction to a C-SPECT system.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.2000.910972