Principles of image reconstruction using Positron Emission Tomography and maximum likelihood estimation algorithms

@article{Bezbradica2008PrinciplesOI,
  title={Principles of image reconstruction using Positron Emission Tomography and maximum likelihood estimation algorithms},
  author={Marija Bezbradica and Z. Trpovski},
  journal={2008 9th Symposium on Neural Network Applications in Electrical Engineering},
  year={2008},
  pages={141-144}
}
Positron emission tomography (PET) is used extensively in image acquisition for medical purposes. It is necessary to perform an evaluation of parameters that are required for image reconstruction based on the measured data. The most commonly used method for estimation of PET parameters is Expectation Maximization algorithm. About a decade ago a new SAGE… CONTINUE READING