Corpus ID: 237635018

A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging

@article{Koutsantonis2021ABO,
  title={A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging},
  author={Loizos Koutsantonis and A.Z. Makki and Tiago Carneiro and Emmanuel Kieffer and Pascal Bouvry},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.11920}
}
Photon attenuation and scatter are the two main physical factors affecting the diagnostic quality of SPECT in its applications in brain imaging. In this work, we present a novel Bayesian Optimization approach for Attenuation Correction (BOAC) in SPECT brain imaging. BOAC utilizes a prior model parametrizing the head geometry and exploits High Performance Computing (HPC) to reconstruct attenuation corrected images without requiring prior anatomical information from complementary CT scans. BOAC… Expand

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