Paper
18 March 2008 Generic iterative reconstruction of multi-pinhole SPECT
William J. Ryder, Matthew P. Brennan, Albert J. Sinusas, Yi-Hwa Liu
Author Affiliations +
Abstract
Single photon emission computerized tomographic (SPECT) images often suffer from low resolution and low count density. To improve spatial resolution of SPECT it is possible to use a pinhole collimator; however, this further reduces the system sensitivity. A potential solution to this problem is to use coded apertures, which offers increased sensitivity by using multiple pinholes, at the cost of increased image reconstruction time. A generic reconstruction algorithm has been developed which allows for arbitrary acquisition geometry via affine transforms (translation and rotation). The reconstruction process uses a (Siddon) ray projector, the expectation maximization (EM) algorithm and a 1 to n pinhole position matrix. Iteration times scale as a function of the number of pinholes in the collimator. Resolution recovery has also been incorporated into the reconstruction algorithm. The algorithm developed allows for the investigation of optimal imaging settings for small animal imaging. Simulated acquisitions of an ex-vivo rat heart with 1, 5 and 8 pinholes, over 360 degree acquisition, showing that multi-pinhole imaging can be successfully applied to rat cardiac imaging. Further refinement of the acquisition parameters, such as image overlap, collimator pinhole configuration and geometrical imaging configuration, will predict the theoretical settings for quantitative cardiac multi-pinhole SPECT imaging.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William J. Ryder, Matthew P. Brennan, Albert J. Sinusas, and Yi-Hwa Liu "Generic iterative reconstruction of multi-pinhole SPECT", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69132M (18 March 2008); https://doi.org/10.1117/12.769519
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KEYWORDS
Sensors

Collimators

Single photon emission computed tomography

Reconstruction algorithms

Expectation maximization algorithms

Image processing

Monte Carlo methods

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