MAP reconstruction from spatially correlated PET data

MAP Reconstruction From Spatially Correlated PET Data - Nuclear Science, IEEE Transactions on

High sensitivity 3-D PET data is often rebinned into 2-D data sets in order to reduce the computation time of reconstructions. The need to precorrect the 3-D data for attenuation, accidentals, scatter, and deadtime effects before rebinning along with the rebinning process itself changes the statistics of the data. This paper presents an approach for finding and using the statistics of Fourier r...

Statistical image reconstruction from correlated data with applications to PET.

Most statistical reconstruction methods for emission tomography are designed for data modeled as conditionally independent Poisson variates. In reality, due to scanner detectors, electronics and data processing, correlations are introduced into the data resulting in dependent variates. In general, these correlations are ignored because they are difficult to measure and lead to computationally c...

Image Reconstruction from Incomplete Data

Online PET Reconstruction From List-Mode Data

This work proposes an alternative to ordered subsets to improve the convergence speed of list-mode expectationmaximization image reconstruction algorithms. Instead of subdividing the input data into non-overlapping subsets, the stream of measured coincidence events is immediately processed online. The reconstruction algorithm maintains a sliding window covering the events that contribute to the...

Image Reconstruction from Incomplete Data