Dose reduction with iterative reconstruction: Optimization of CT protocols in clinical practice

Abstract Objectives To create an adaptable and global approach for optimizing MDCT protocols by evaluating the influence of acquisition parameters and Iterative Reconstruction (IR) on dose reduction and image quality. Materials and methods MDCT acquisitions were performed on quality image phantom by...

Full description

Saved in:
Bibliographic Details
Published in:Diagnostic and interventional imaging 2015-05, Vol.96 (5), p.477-486
Main Authors: Greffier, J, Macri, F, Larbi, A, Fernandez, A, Khasanova, E, Pereira, F, Mekkaoui, C, Beregi, J.P
Format: Article
Language:English
Subjects:
Bioengineering
Clinical Protocols
Dose reduction
Human health and pathology
Humans
Image Processing, Computer-Assisted
Image quality
Imaging
Iterative reconstruction
Life Sciences
Multidetector Computed Tomography - standards
Multidetector CT
Nuclear medicine
Patient safety
Phantoms, Imaging
Radiation Dosage
Radiology
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Objectives To create an adaptable and global approach for optimizing MDCT protocols by evaluating the influence of acquisition parameters and Iterative Reconstruction (IR) on dose reduction and image quality. Materials and methods MDCT acquisitions were performed on quality image phantom by varying kVp, mAs, and pitch for the same collimation. The raw data were reconstructed by FBP and Sinogram Affirmed Iterative Reconstruction (SAFIRE) with different reconstruction kernel and thickness. A total of 4032 combinations of parameters were obtained. Indices of quality image (image noise, NCT, CNR, SNR, NPS and MTF) were analyzed. We developed a software in order to facilitate the optimization between dose reduction and image quality. Its outcomes were verified on an adult anthropomorphic phantom. Results Dose reduction resulted in the increase of image noise and the decrease of SNR and CNR. The use of IR improved these indices for the same dose without affecting NCT and MTF. The image validation was performed by the anthropomorphic phantom. The software proposed combinations of parameters to reduce doses while keeping indices of the image quality adequate. We observed a CTDIvol reduction between −44% and −83% as compared to the French diagnostic reference levels (DRL) for different anatomical localization. Conclusion The software developed in this study may help radiologists in selecting adequate combinations of parameters that allows to obtain an appropriate image with dose reduction.
ISSN:2211-5684
2211-5684
DOI:10.1016/j.diii.2015.02.007