DocumentCode :
3606812
Title :
Simultaneous 99mtc/111in spect reconstruction using accelerated convolution-based forced detection monte carlo
Author :
Karamat, Muhammad I. ; Farncombe, Troy H.
Author_Institution :
Dept. of Med. Phys. & Appl. Radiat. Sci., McMaster Univ., Hamilton, ON, Canada
Volume :
62
Issue :
5
fYear :
2015
Firstpage :
2085
Lastpage :
2095
Abstract :
Simultaneous multi-isotope Single Photon Emission Computed Tomography (SPECT) imaging has a number of applications in cardiac, brain, and cancer imaging. The major concern however, is the significant crosstalk contamination due to photon scatter between the different isotopes. The current study focuses on a method of crosstalk compensation between two isotopes in simultaneous dual isotope SPECT acquisition applied to cancer imaging using 99mTc and 111In. We have developed an iterative image reconstruction technique that simulates the photon down-scatter from one isotope into the acquisition window of a second isotope. Our approach uses an accelerated Monte Carlo (MC) technique for the forward projection step in an iterative reconstruction algorithm. The MC estimated scatter contamination of a radionuclide contained in a given projection view is then used to compensate for the photon contamination in the acquisition window of other nuclide. We use a modified ordered subset-expectation maximization (OS-EM) algorithm named simultaneous ordered subset-expectation maximization (Sim-OSEM), to perform this step. We have undertaken a number of simulation tests and phantom studies to verify this approach. The proposed reconstruction technique was also evaluated by reconstruction of experimentally acquired phantom data. Reconstruction using Sim-OSEM showed very promising results in terms of contrast recovery and uniformity of object background compared to alternative reconstruction methods implementing alternative scatter correction schemes (i.e., triple energy window or separately acquired projection data). In this study the evaluation is based on the quality of reconstructed images and activity estimated using Sim-OSEM. In order to quantitate the possible improvement in spatial resolution and signal to noise ratio (SNR) observed in this study, further simulation and experimental studies are required.
Keywords :
Monte Carlo methods; brain; cancer; crosstalk; image reconstruction; medical image processing; single photon emission computed tomography; SPECT reconstruction; accelerated convolution based forced detection Monte Carlo; brain imaging; cancer imaging; cardiac imaging; crosstalk compensation; crosstalk contamination; forward projection step; image reconstruction; multiisotope Single Photon Emission Computed Tomography; scatter correction schemes; simultaneous ordered subset-expectation maximization Sim-OSEM; Crosstalk; Image reconstruction; Isotopes; Monte Carlo methods; Photonics; Single photon emission computed tomography; Image reconstruction; Monte Carlo (MC) methods; Single Photon Emission Computed Tomography (SPECT); modeling;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2015.2465938
Filename :
7274490
Link To Document :
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