title: Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.
abstract: OBJECTIVE
  The purpose of this article is to discuss the application of a new CT reconstruction algorithm, adaptive statistical iterative reconstruction (ASIR), to reduce radiation dose at body CT and to provide imaging examples in comparison with low-dose and standard-dose filtered back projection CT.
  
  
  CONCLUSIONS
  The ASIR reconstruction algorithm is a promising technique for providing diagnostic quality CT images at significantly reduced radiation doses.
authors.affiliation: Department of Radiology, Mayo Clinic Arizona, 13400 E Shea Blvd., Scottsdale, AZ 85259, USA. silva.alvin@mayo.edu
authors.forename: Alvin C
authors.initials: AC
authors.lastname: Silva
authors.forename: Holly J
authors.initials: HJ
authors.lastname: Lawder
authors.forename: Amy
authors.initials: A
authors.lastname: Hara
authors.forename: Jennifer
authors.initials: J
authors.lastname: Kujak
authors.forename: William
authors.initials: W
authors.lastname: Pavlicek
mesh_terms: D000465:Algorithms; D003287:Contrast Media; D006801:Humans; D009765:Obesity / Q000000981:diagnostic imaging; D011829:Radiation Dosage; D011832:Radiation Injuries / Q000517:prevention & control; D011835:Radiation Protection / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000009:adverse effects / Q000379:methods*
chemical_list: D003287:Contrast Media