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Scatter and attenuation correction in SPECT using density maps and Monte Carlo simulated scatter functions

Ljungberg, Michael LU and Strand, Sven-Erik LU (1990) In Journal of Nuclear Medicine 31(9). p.1560-1567
Abstract
A new scatter and attenuation correction method is presented in which Monte Carlo simulated scatter line-spread functions for different depth and lateral positions are used. A reconstructed emission image is used as an estimate of the source distribution in order to calculate the scatter contribution in the projection data. The scatter contribution is then subtracted from the original projection prior to attenuation correction. The attenuation correction method uses density maps for the attenuation correction of projection data. Simulation studies have been done with a clinically realistic source distribution in cylindrical, homogeneous water phantoms of different sizes and with photon energies corresponding to 201T1, 99mTc, and 111In. The... (More)
A new scatter and attenuation correction method is presented in which Monte Carlo simulated scatter line-spread functions for different depth and lateral positions are used. A reconstructed emission image is used as an estimate of the source distribution in order to calculate the scatter contribution in the projection data. The scatter contribution is then subtracted from the original projection prior to attenuation correction. The attenuation correction method uses density maps for the attenuation correction of projection data. Simulation studies have been done with a clinically realistic source distribution in cylindrical, homogeneous water phantoms of different sizes and with photon energies corresponding to 201T1, 99mTc, and 111In. The results show excellent quantitative results with an accuracy within +/- 10% for most of the source positions and phantom sizes. It has also been shown that the variation in the event distribution within the source region in the images has been significantly decreased and that an enhancement in the contrast has been achieved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Nuclear Medicine
volume
31
issue
9
pages
1560 - 1567
publisher
Society of Nuclear Medicine
external identifiers
  • scopus:0024997705
ISSN
0161-5505
language
English
LU publication?
yes
id
4cf88eed-6d57-4a06-8826-e7c09737b8f3 (old id 1105264)
alternative location
http://jnm.snmjournals.org/cgi/reprint/31/9/1560
date added to LUP
2008-08-05 11:46:58
date last changed
2017-07-30 04:41:52
@article{4cf88eed-6d57-4a06-8826-e7c09737b8f3,
  abstract     = {A new scatter and attenuation correction method is presented in which Monte Carlo simulated scatter line-spread functions for different depth and lateral positions are used. A reconstructed emission image is used as an estimate of the source distribution in order to calculate the scatter contribution in the projection data. The scatter contribution is then subtracted from the original projection prior to attenuation correction. The attenuation correction method uses density maps for the attenuation correction of projection data. Simulation studies have been done with a clinically realistic source distribution in cylindrical, homogeneous water phantoms of different sizes and with photon energies corresponding to 201T1, 99mTc, and 111In. The results show excellent quantitative results with an accuracy within +/- 10% for most of the source positions and phantom sizes. It has also been shown that the variation in the event distribution within the source region in the images has been significantly decreased and that an enhancement in the contrast has been achieved.},
  author       = {Ljungberg, Michael and Strand, Sven-Erik},
  issn         = {0161-5505},
  language     = {eng},
  number       = {9},
  pages        = {1560--1567},
  publisher    = {Society of Nuclear Medicine},
  series       = {Journal of Nuclear Medicine},
  title        = {Scatter and attenuation correction in SPECT using density maps and Monte Carlo simulated scatter functions},
  volume       = {31},
  year         = {1990},
}