Multi-pinhole dynamic SPECT imaging: simulation and system optimization

Dan Ma; Anne V. Clough; Taly Gilat Schmidt

doi:10.1117/12.844106

18 March 2010 Multi-pinhole dynamic SPECT imaging: simulation and system optimization

Dan Ma, Anne V. Clough, Taly Gilat Schmidt

Proceedings Volume 7622, Medical Imaging 2010: Physics of Medical Imaging; 76220U (2010) https://doi.org/10.1117/12.844106
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

This work optimized a multi-pinhole collimator for a stationary three-camera Single Photon Emission Computed Tomography (SPECT) system designed for rapid (one-second) dynamic imaging through simulations. Multi-pinhole collimator designs were investigated to increase efficiency and angular sampling while maintaining adequate spatial resolution for small-animal imaging. The study first analytically investigated the tradeoffs between efficiency and spatial resolution as a function of the number of pinholes. An oval arrangement of pinholes was proposed, and the benefits compared to a circular arrangement were quantified through simulations. Finally, collimators with six to nine pinholes were simulated, and the resulting data compared with respect to efficiency, signal-to-noise ratio (SNR), and the angular coverage in Radon space. All simulations used the GATE Monte Carlo toolkit. The results suggest that an oval arrangement of nine pinholes improved the efficiency and SNR by factors of 1.65 and 1.3, respectively, compared to a circular arrangement. A nine-pinhole collimator was found to provide the highest geometric efficiency (~6.35*10⁴cps/mCi) and improved the SNR by a factor of ~1.3 and ~1.1 compared to the six- and eight-pinhole collimators, respectively. Overall, the simulated multi-pinhole system depicted cylindrical objects despite the limited angular sampling and scan time of the one-second, stationary three-camera acquisition.

Citation Download Citation

Dan Ma, Anne V. Clough, and Taly Gilat Schmidt "Multi-pinhole dynamic SPECT imaging: simulation and system optimization", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76220U (18 March 2010); https://doi.org/10.1117/12.844106

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