title: Iterative reconstruction: how it works, how to apply it.
abstract: Computed tomography acquires X-ray projection data from multiple angles though an object to generate a tomographic rendition of its attenuation characteristics. Filtered back projection is a fast, closed analytical solution to the reconstruction process, whereby all projections are equally weighted, but is prone to deliver inadequate image quality when the dose levels are reduced. Iterative reconstruction is an algorithmic method that uses statistical and geometric models to variably weight the image data in a process that can be solved iteratively to independently reduce noise and preserve resolution and image quality. Applications of this technology in a clinical setting can result in lower dose on the order of 20-40% compared to a standard filtered back projection reconstruction for most exams. A carefully planned implementation strategy and methodological approach is necessary to achieve the goals of lower dose with uncompromised image quality.
authors.affiliation: Department of Radiology, University of California Davis Medical Center, 4860 Y St., Ste. 3100, Sacramento, CA, 95817, USA, jaseibert@ucdavis.edu.
authors.forename: James Anthony
authors.initials: JA
authors.lastname: Seibert
mesh_terms: D000465:Algorithms; D002648:Child; D003627:Data Interpretation, Statistical; D006801:Humans; D010372:Pediatrics / Q000379:methods; D011829:Radiation Dosage; D011835:Radiation Protection; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*