The use of artificial intelligence and deep learning reconstruction in urological computed tomography: Dose reduction at ghost level

The use of artificial intelligence and deep learning reconstruction in urological computed tomography: Dose reduction at ghost level

Objective: The objective of the study is to demonstrate that with the use of artificial intelligence (AI) in computed tomography (CT), radiation doses of CT kidney-ureter-bladder (KUB) and CT urogram (CTU) can be reduced to less than that of X-ray KUB and CT KUB, respectively, while maintaining the...

Full description

Bibliographic Details
Main Authors: Abdul Rauf, Saqib Javed, Bhargavi Chandrasekar, Saiful Miah, Margaret Lyttle, Mamoon Siraj, Rono Mukherjee, Christopher M McLeavy, Hazem Alaaraj, Richard Hawkins
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:Urology Annals
Subjects:
artificial intelligence
computed tomography scan of kidney-ureter and bladder
computed tomography-urogram
deep learning reconstruction
hybrid iterative reconstruction national diagnostic reference levels
Online Access:http://www.urologyannals.com/article.asp?issn=0974-7796;year=2023;volume=15;issue=4;spage=417;epage=423;aulast=Rauf

Internet

http://www.urologyannals.com/article.asp?issn=0974-7796;year=2023;volume=15;issue=4;spage=417;epage=423;aulast=Rauf

Similar Items