Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.
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.
Silva
Alvin C
AC
Department of Radiology, Mayo Clinic Arizona, 13400 E Shea Blvd., Scottsdale, AZ 85259, USA. silva.alvin@mayo.edu
Lawder
Holly J
HJ
Hara
Amy
A
Kujak
Jennifer
J
Pavlicek
William
W
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*
D003287:Contrast Media