Title :
Fast parallel algorithm for CT image reconstruction
Author :
Flores, L.A. ; Vidal, V. ; Mayo, P. ; Rodenas, F. ; Verdu, G.
Author_Institution :
Dept. de Sist. Informaticos y Comput., Univ. Politec. de Valencia, Valencia, Spain
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
In X-ray computed tomography (CT) the X rays are used to obtain the projection data needed to generate an image of the inside of an object. The image can be generated with different techniques. Iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections. Their use may be important in portable scanners for their functionality in emergency situations. However, in practice, these methods are not widely used due to the high computational cost of their implementation. In this work we analyze iterative parallel image reconstruction with the Portable Extensive Toolkit for Scientific computation (PETSc).
Keywords :
computerised tomography; image reconstruction; image scanners; iterative methods; medical image processing; parallel algorithms; portable instruments; CT image reconstruction; PETSc; Portable Extensive Toolkit for Scientific computation; X-ray computed tomography; emergency situations; fast parallel algorithm; image contrast; image generation; iterative methods; iterative parallel image reconstruction; noisy conditions; portable scanners; projection data; Computational efficiency; Computed tomography; Electronic mail; Image reconstruction; Iterative methods; Sparse matrices; X-ray imaging; Algorithms; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346935