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Monte Carlo-based SPECT reconstruction within the SIMIND framework

Gustafsson, Johan LU ; Brolin, Gustav LU and Ljungberg, Michael LU (2018) In Physics in Medicine and Biology 63(24).
Abstract

This paper presents the development and validation of a Monte Carlo-based singe photon emission computed tomography reconstruction program for parallel-hole collimation contained within the SIMIND Monte Carlo framework. The Monte Carlo code is used as an accurate forward-projector and is combined with a simplified back-projector to perform iterative tomographic reconstruction using the Maximum Likelihood Expectation Maximization and Ordered Subsets Expectation Maximization algorithms, together forming a program called SIMREC. The Monte Carlo simulation transforms the estimated source distribution directly from activity to counts in its projections. Hence, the reconstructed image is expressed in activity without reference to an external... (More)

This paper presents the development and validation of a Monte Carlo-based singe photon emission computed tomography reconstruction program for parallel-hole collimation contained within the SIMIND Monte Carlo framework. The Monte Carlo code is used as an accurate forward-projector and is combined with a simplified back-projector to perform iterative tomographic reconstruction using the Maximum Likelihood Expectation Maximization and Ordered Subsets Expectation Maximization algorithms, together forming a program called SIMREC. The Monte Carlo simulation transforms the estimated source distribution directly from activity to counts in its projections. Hence, the reconstructed image is expressed in activity without reference to an external calibration. The program is tested using phantom measurements of spheres filled with 99mTc, 177Lu and 131I placed in air and centrally and peripherally in a water-filled elliptical phantom. The feasibility of applying the reconstruction to patients is also demonstrated for a range of radiopharmaceuticals. The deviation in total activity in the spheres ranged between -4.1% and 6.2% compared with the activity determined when preparing the phantom. The SIMREC program was found to be accurate with respect to activity estimation and to reconstruct visually acceptable images within a few hours when applied to patient examples.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Monte Carlo simulation, Monte Carlo-based reconstruction, quantitative SPECT, SPECT
in
Physics in Medicine and Biology
volume
63
issue
24
publisher
IOP Publishing
external identifiers
  • scopus:85058736181
ISSN
0031-9155
DOI
10.1088/1361-6560/aaf0f1
language
English
LU publication?
yes
id
71ac6694-3837-4546-a205-8f5f6107fc8b
date added to LUP
2019-01-03 12:18:32
date last changed
2019-02-20 11:41:20
@article{71ac6694-3837-4546-a205-8f5f6107fc8b,
  abstract     = {<p>This paper presents the development and validation of a Monte Carlo-based singe photon emission computed tomography reconstruction program for parallel-hole collimation contained within the SIMIND Monte Carlo framework. The Monte Carlo code is used as an accurate forward-projector and is combined with a simplified back-projector to perform iterative tomographic reconstruction using the Maximum Likelihood Expectation Maximization and Ordered Subsets Expectation Maximization algorithms, together forming a program called SIMREC. The Monte Carlo simulation transforms the estimated source distribution directly from activity to counts in its projections. Hence, the reconstructed image is expressed in activity without reference to an external calibration. The program is tested using phantom measurements of spheres filled with <sup>99m</sup>Tc, <sup>177</sup>Lu and <sup>131</sup>I placed in air and centrally and peripherally in a water-filled elliptical phantom. The feasibility of applying the reconstruction to patients is also demonstrated for a range of radiopharmaceuticals. The deviation in total activity in the spheres ranged between -4.1% and 6.2% compared with the activity determined when preparing the phantom. The SIMREC program was found to be accurate with respect to activity estimation and to reconstruct visually acceptable images within a few hours when applied to patient examples.</p>},
  articleno    = {245012},
  author       = {Gustafsson, Johan and Brolin, Gustav and Ljungberg, Michael},
  issn         = {0031-9155},
  keyword      = {Monte Carlo simulation,Monte Carlo-based reconstruction,quantitative SPECT,SPECT},
  language     = {eng},
  month        = {12},
  number       = {24},
  publisher    = {IOP Publishing},
  series       = {Physics in Medicine and Biology},
  title        = {Monte Carlo-based SPECT reconstruction within the SIMIND framework},
  url          = {http://dx.doi.org/10.1088/1361-6560/aaf0f1},
  volume       = {63},
  year         = {2018},
}