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Everything about Iterative reconstruction

Image reconstruction algorithms

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. 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. Wikipedia →

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  1. Read the overview: Iterative reconstructionA 5-minute orientation
  2. Skim a recent paper: Iterative poisson surface reconstruction (iPSR) for unoriented pointsInfluential work since 2022
  3. Pick up a classic book: Artificial intelligenceThe most-reprinted book on the subject
  4. Read the landmark paper: Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approachCited 1,804 times
  5. Go sideways: Computational imagingA closely related topic
  6. Go sideways: Compressed sensingA closely related topic

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