## Abstract Maximum likelihood (ML) listβmode expectation maximization (EM) reconstruction for positron emission tomography (PET) permits all acquired information to be used directly in the reconstruction process without preprocessing. This feature is particularly useful for high spatial and tempor
High-speed computation of the EM algorithm for PET image reconstruction
β Scribed by Rajan, K.; Patnaik, L.M.; Ramakrishna, J.
- Book ID
- 114554669
- Publisher
- IEEE
- Year
- 1994
- Tongue
- English
- Weight
- 787 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0018-9499
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The expectation-maximization maximum-likelihood (EM-ML) algorithm for image reconstruction in positron emission tomography (PET) essentially solves a large linear system of equations. In this paper, we study computational aspects of a recently developed preprocessing scheme for focusing the attentio
## Objective: We would like to improve the image reconstructions for both signal-to-noise ratio (snr) and spatial resolution characteristics for the small animal positron emission tomograph yap-pet, built at the department of physics of ferrara university. the three-dimensional (3d) filtered backpr