Name
Title | ||
|---|---|---|
NIBART: a new interval based algebraic reconstruction technique for error quantification of emission tomography images. |
Abstract | ||
|---|---|---|
This article presents a new algebraic method for reconstructing emission tomography images. This approach is mostly an interval extension of the conventional SIRT algorithm. One of the main characteristic of our approach is that the reconstructed activity associated with each pixel of the reconstructed image is an interval whose length can be considered as an estimate of the impact of the random variation of the measured activity on the reconstructed image. This work aims at investigating a new methodological concept for a reliable and robust quantification of reconstructed activities in scintigraphic images. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04268-3_19 | MICCAI |
Keywords | Field | DocType |
new interval,error quantification,emission tomography image,main characteristic,interval extension,algebraic reconstruction technique,reconstructed image,new algebraic method,conventional sirt algorithm,scintigraphic image,measured activity,emission tomography images,new methodological concept,reconstructed activity | Computer vision,Random variable,Computer science,Algebraic method,Reconstruction error,Tomography,Inverse problem,Algebraic Reconstruction Technique,Artificial intelligence,Pixel | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
1 | 0.43 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Strauss | 1 | 55 | 7.55 |
| Abdelkabir Lahrech | 2 | 2 | 1.44 |
| Agnès Rico | 3 | 129 | 20.74 |
| Denis Mariano-Goulart | 4 | 6 | 3.92 |
| Benoît Telle | 5 | 16 | 3.06 |