Iterative reconstruction

Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain 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.^[1] 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.^[2]

^ Herman, G. T., Fundamentals of computerized tomography: Image reconstruction from projection, 2nd edition, Springer, 2009
^ Wang, Xiao; Sabne, Amit; Kisner, Sherman; Raghunathan, Anand; Bouman, Charles; Midkiff, Samuel (2016-01-01). "High performance model based image reconstruction". Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP '16. New York, NY, USA: ACM. pp. 2:1–2:12. doi:10.1145/2851141.2851163. ISBN 9781450340922. S2CID 16569156.

[ref1-1] Herman, G. T., Fundamentals of computerized tomography: Image reconstruction from projection, 2nd edition, Springer, 2009

[2] Wang, Xiao; Sabne, Amit; Kisner, Sherman; Raghunathan, Anand; Bouman, Charles; Midkiff, Samuel (2016-01-01). "High performance model based image reconstruction". Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP '16. New York, NY, USA: ACM. pp. 2:1–2:12. doi:10.1145/2851141.2851163. ISBN 9781450340922. S2CID 16569156.

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