Abstract
Indirect and direct methods have been developed for reconstructing parametric images from dynamic PET data. Indirect methods are relatively simple and easy to implement because the reconstruction and kinetic modeling are performed in two separate steps. Direct methods estimate the parametric images directly from the dynamic PET data and are statistically more ef cient, but the algorithms are often dif cult to implement. This paper presents a simple, monotonically convergent iterative algorithm for direct reconstruction of parametric images. Each iteration of the proposed algorithm consists of two separate steps: reconstruction of dynamic images followed by a pixel-wise weighted nonlinear least squares tting. This algorithm resembles the empirical iterative implementation of the indirect approach, but converges to the solution of the direct formulation.
| Original language | English (US) |
|---|---|
| Title of host publication | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI |
| Pages | 1031-1034 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2008 |
| Event | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008 |
Other
| Other | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI |
|---|---|
| Country | France |
| City | Paris |
| Period | 5/14/08 → 5/17/08 |
Keywords
- Dynamic PET
- Image reconstruction
- Parametric imaging
- Tracer kinetic modeling
ASJC Scopus subject areas
- Biomedical Engineering