Iterative image reconstruction algorithms based on the theory of convex projections

TitleIterative image reconstruction algorithms based on the theory of convex projections
Publication TypeConference Paper
Year of Publication1995
AuthorsMailloux, G. E., R. Noumeir, and R. Lemieux
Conference NameEngineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Pagination575 -576 vol.1
Date Publishedsep.
Keywordscomputerised tomography, convex constraints, convex projections theory, convex sets, image reconstruction, initial solution, iterative image reconstruction algorithms, iterative methods, medical diagnostic imaging, medical image processing, partial noisy data, prior distance distribution
Abstract

Five iterative algorithms to reconstruct images From partial noisy data have been formulated and compared by using the theory of projection onto convex sets (POCS). This formulation clearly shows the dependence on the initial solution, allows the introduction of a prior distribution in the distance to be minimized and the use of additional convex constraints

URLhttp://dx.doi.org/10.1109/IEMBS.1995.575257
DOI10.1109/IEMBS.1995.575257

a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia