NIBART: a new interval based algebraic reconstruction technique for error quantification of emission tomography images.
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.
Strauss
Olivier
O
LIRMM UMR CNRS 5506, Université Montpellier 2, 161, rue Ada, 34392 Montpellier cedex 5, France. strauss@lirmm.fr
Lahrech
Abdelkabir
A
Rico
Agnès
A
Mariano-Goulart
Denis
D
Telle
Benoît
B
D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014055:Tomography, Emission-Computed / Q000379:methods*