Title :
A general form for recursive algorithms in tomographic image reconstruction
Author :
Rahimi, Akbar ; Sadri, Saeid ; Nezhad, Abolghasem Zeidaabadi
Author_Institution :
Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan
Abstract :
The purpose of this study is to introduce a general form for linear recursive image reconstruction using measurement and estimation matrixes. The convergence condition of presented algorithm is proved analytically and illustrated by simulation results. Previous presented recursive algorithms are fitted in our general form. Filtering in reconstructing duration is introduced new form to increase speed of the processing task. Finally forward projection and back projection as a spatial case are proposed and simulated.
Keywords :
convergence of numerical methods; filtering theory; image reconstruction; matrix algebra; medical image processing; phantoms; recursive estimation; recursive filters; tomography; convergence conditions; estimation matrixes; filtered back projection; head phantom; linear recursive image reconstruction; recursive algorithms; tomographic image reconstruction; tomography imaging; Algorithm design and analysis; Convergence; Delay estimation; Image reconstruction; Image sampling; Information technology; Iterative algorithms; Iterative methods; Recursive estimation; Tomography;
Conference_Titel :
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-2254-8
Electronic_ISBN :
978-1-4244-2255-5
DOI :
10.1109/ITAB.2008.4570568
