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Iterative reconstruction
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{{More citations needed|date=July 2007}} [[File:FBP Iter single.jpg|thumb|Example showing differences between filtered backprojection (right half) and iterative reconstruction method (left half)]] '''Iterative reconstruction''' refers to [[Iteration|iterative]] [[algorithms]] used to reconstruct 2D and [[3D reconstruction|3D images]] in certain [[Digital imaging|imaging]] techniques. For example, in [[computed tomography]] an image must be reconstructed from projections of an object. Here, iterative reconstruction techniques are usually a better, but computationally more expensive alternative to the common [[filtered back projection]] (FBP) method, which directly calculates the image in a single reconstruction step.<ref name="ref1">Herman, G. T., [https://books.google.com/books?id=BhtGTkEjkOQC Fundamentals of computerized tomography: Image reconstruction from projection], 2nd edition, Springer, 2009</ref> In recent research works, scientists have shown that extremely fast computations and massive parallelism is possible for iterative reconstruction, which makes iterative reconstruction practical for commercialization.<ref>{{Cite book|last1=Wang|first1=Xiao|last2=Sabne|first2=Amit|last3=Kisner|first3=Sherman|last4=Raghunathan|first4=Anand|last5=Bouman|first5=Charles|last6=Midkiff|first6=Samuel|title=Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming |chapter=High performance model based image reconstruction |date=2016-01-01|series=PPoPP '16|location=New York, NY, USA|publisher=ACM|pages=2:1β2:12|doi=10.1145/2851141.2851163|isbn=9781450340922|s2cid=16569156|url=https://zenodo.org/record/895136}}</ref>
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