Now that computing power is getting more accessible, many vendors are incorporating iterative reconstruction techniques into their systems. It is much faster, simpler, reproducible, and linear (performs uniformly across environments).
They run by repeating (ITERATING) two distinct steps: (1) Expected projections are calculated by forward projecting data (using system matrix), and is based on activity distribution estimation from the previous iteration, and (2) the current image estimate is compared to the raw acquisition and updated so as to maximize the likelihood it is the “correct” image estimation.įBP has been the reconstruction algorithm traditionally used for medical imaging. Iterative reconstruction: these algorithms involve a feedback process that permits sequential adjustments of an estimated image so that its virtual acquisition corresponds to the raw acquisition. The mathematics of FBP are based on the central slice theorem ( link-Wikipedia ), but are not discussed here.
There are two main types of mathematical algorithms for image reconstruction: analytic reconstruction (filtered back projection) and iterative reconstruction.Īnalytic reconstruction: on this website we focus on an image reconstruction technique called filtered back projection (FBP).
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