Title :
Simultaneous reconstruction and segmentation algorithm for positron emission tomography and transmission tomography
Author :
De Sompel, D. Van ; Brady, M.
Author_Institution :
Dept. of Eng. Sci., Univ. of Oxford, Oxford
Abstract :
We present a new reconstruction algorithm for emission and transmission tomography. The algorithm performs maximum likelihood reconstruction and doubly stochastic segmentation simultaneously. The resulting reconstructions show promising edge-preservation as well as suppression of measurement noise.
Keywords :
image reconstruction; image segmentation; maximum likelihood estimation; medical image processing; positron emission tomography; doubly stochastic segmentation; edge preservation; image reconstruction; image segmentation; maximum likelihood reconstruction; measurement noise suppression; positron emission tomography; segmentation algorithm; transmission tomography; Computed tomography; Event detection; Image reconstruction; Image segmentation; Iterative algorithms; Maximum likelihood estimation; Noise measurement; Object detection; Positron emission tomography; Reconstruction algorithms; Image reconstruction; image segmentation; maximum likelihood estimation; positron emission tomography; transmission tomography;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
DOI :
10.1109/ISBI.2008.4541176
