@inproceedings{94f65dc747694c16be482f00c9256d20,
title = "Wavelet based multiresolution expectation maximization reconstruction algorithm for positron emission tomography (PET)",
abstract = "Maximum Likelihood estimation based Expectation Maximization(EM) reconstruction algorithm [1] has been shown to provide good quality reconstruction for PET. Our previous work [2,3] introduced multigrid concept for PET image reconstruction using EM. The multiresolution EM (MREM) algorithm is an attempt to improve the EM based estimation through an effective use of multi-resolution grids in both image-reconstruction and detector spaces. The algorithm begins iterating at the coarsest grid level using tube data that has been re-organized (re-binned) at the coarsest detector level. It switches both the grid and detector levels simultaneously until the finest detector and grid resolution are reached. This algorithm incorporates a wavelet decomposition based transition criterion for switching grid levels and a wavelet spline based interpolation method for projecting the intermediate reconstruction from a specific grid level to the next finer grid.",
author = "Amar Raheja and Dhawan, {Atam P.}",
year = "1999",
language = "English (US)",
isbn = "0780350227",
series = "IEEE Nuclear Science Symposium and Medical Imaging Conference",
publisher = "IEEE",
pages = "1330--1331",
booktitle = "IEEE Nuclear Science Symposium and Medical Imaging Conference",
note = "Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record ; Conference date: 08-11-1998 Through 14-11-1998",
}