Iterative reconstruction techniques in abdominopelvic CT: technical concepts and clinical implementation

M Patino, JM Fuentes, S Singh… - American Journal of …, 2015 - Am Roentgen Ray Soc
OBJECTIVE. This article discusses the clinical challenge of low-radiation-dose
examinations, the commonly used approaches for dose optimization, and their effect on …

Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT

L Chen, C Jin, J Li, G Wang, Y Jia… - The British Journal of …, 2018 - academic.oup.com
Objective: To compare image quality of two adaptive statistical iterative reconstruction (ASiR
and ASiR-V) algorithms using objective and subjective metrics for routine liver CT, with the …

Initial phantom study comparing image quality in computed tomography using adaptive statistical iterative reconstruction and new adaptive statistical iterative …

K Lim, H Kwon, J Cho, J Oh, S Yoon… - Journal of Computer …, 2015 - journals.lww.com
Purpose The purpose of this study was to assess the image quality of a novel advanced
iterative reconstruction (IR) method called as “adaptive statistical IR V”(ASIR-V) by …

Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18 …

AH Goenka, BR Herts, NA Obuchowski, AN Primak… - Radiology, 2014 - pubs.rsna.org
Purpose To measure the effect of reduced radiation exposure on low-contrast low-
attenuation liver lesion detection in an anthropomorphic abdominal phantom by using …

Image comparative assessment using iterative reconstructions: clinical comparison of low-dose abdominal/pelvic computed tomography between adaptive statistical …

V Vardhanabhuti, RD Riordan, GR Mitchell… - Investigative …, 2014 - journals.lww.com
Objectives The objective of this study was to compare image quality (objective and
subjective parameters) and confidence in lesion detection between 3 image reconstruction …

The image quality of deep-learning image reconstruction of chest CT images on a mediastinal window setting

A Hata, M Yanagawa, Y Yoshida, T Miyata, N Kikuchi… - Clinical radiology, 2021 - Elsevier
AIM To assess the image quality of deep-learning image reconstruction (DLIR) of chest
computed tomography (CT) images on a mediastinal window setting in comparison to an …

Reducing radiation dose in body CT: a primer on dose metrics and key CT technical parameters

PD Maldjian, AR Goldman - American journal of …, 2013 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to describe how to interpret radiation dosi-metric
data available on a body CT dose report and to explain the effects of key operator-chosen …

Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative …

A Tamura, E Mukaida, Y Ota, M Kamata… - The British Journal of …, 2021 - academic.oup.com
Objective: This study aimed to conduct objective and subjective comparisons of image
quality among abdominal computed tomography (CT) reconstructions with deep learning …

Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi

X Zhang, G Zhang, L Xu, X Bai, J Zhang, M Xu… - Insights into …, 2022 - Springer
Background Renal calculi are a common and recurrent urological disease and are usually
detected by CT. In this study, we evaluated the diagnostic capability, image quality, and …

Observer performance with varying radiation dose and reconstruction methods for detection of hepatic metastases

JG Fletcher, JL Fidler, SK Venkatesh, DM Hough… - Radiology, 2018 - pubs.rsna.org
Purpose To estimate the ability of lower dose levels and iterative reconstruction (IR) to
display hepatic metastases that can be detected by radiologists. Materials and Methods …