|
|
|
Home | Services | Jobs | Sitemap | Search |
|
||
| Microbiology | fMRI | DTI | MRI |
PET |
| close window | ||||
The problem of recovering edges from noisy Radon data in Positron Emission Tomography (PET) has been investigated. The observed data follow a Poisson distribution whose intensity is the Radon transform of the objective tissue. The theoretical results lead to the following procedure: apply the AWS procedure for Poisson data on the observed image and detect the discontinuities of the first derivative of the estimated intensity. The inverse Radon transform of the discontinuities describes the tissue borders.
Recovering edges from noisy Poisson data. The discontinuities of the first derivative under Radon transform correspond to tissue borders.
| Microbiology | fMRI | DTI | MRI |
PET |
| close window | ||||