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Uncertainty Analysis in 3D SPECT Reconstruction based on Probabilistic Programming

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Document pages: 8 pages

Abstract: Single Photon Emission Computed Tomography (SPECT) is one of the nuclearmedicine imaging modalities used for functional analysis of animal and humanorgans. Gamma rays emitted from the scanned body are filtered with collimatorsand detected by the SPECT head that is composed of an array of gamma detectors.The conventional reconstruction algorithms do not deem the uncertainty levelthat is associated with the field of view of SPECT collimators. In this paper,we incorporate the probabilistic programming approach for SPECT imagereconstruction. No-U-Turn Sampler (NUTS) is used to estimate the scanned objectsystem by considering uncertainty. The obtained results indicate that thepresented work in 3D SPECT image reconstruction surpassed over the conventionalreconstruction methods in terms of generating uncertainty information. However,the reconstruction time needs to be improved further for phantom sizes of128x128x128 voxels and higher.

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