Title :
Iterative Reconstruction-Reprojection: An Algorithm for Limited Data Cardiac-Computed Tomography
Author :
Nassi, Menahem ; Brody, William R. ; Medoff, Barry P. ; Macovski, Albert
Author_Institution :
Diasonics, Inc., Milpitas, CA 95305 and the Department of Radiology, Stanford University
fDate :
5/1/1982 12:00:00 AM
Abstract :
Cardiac X-ray computed tomography (CT) has been limited due to scanning times which are considerably longer (1 s) than required to resolve the beating heart (0.1 s). The otherwise attractive convolution-backprojection algorithm is not suited for CT image reconstruction from measurements comprising an incomplete set of projection data. In this paper, an iterative reconstruction-reprojection (IRR) algorithm is proposed for limited projection data CT image reconstruction. At each iteration, the missing views are estimated based on reprojection, which is a software substitute for the scanning process. The standard fan-beam convolution-backprojection algorithm is then used for image reconstruction. The proposed IRR algorithm enables the use of convolution-backprojection in limited angle of view and in limited field of view CT cases. The potential of this method for cardiac CT reconstruction is demonstrated using computer simulated data.
Keywords :
Computational modeling; Computed tomography; Computer simulation; Heart; Image reconstruction; Iterative algorithms; Radiology; Reconstruction algorithms; Subspace constraints; X-ray imaging; Heart Diseases; Mathematics; Time Factors; Tomography, X-Ray Computed;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1982.324900