Literature DB >> 27156923

Assessment of low contrast detection in CT using model observers: Developing a clinically-relevant tool for characterising adaptive statistical and model-based iterative reconstruction.

Julien G Ott1, Alexandre Ba2, Damien Racine2, Anais Viry2, François O Bochud2, Francis R Verdun2.   

Abstract

PURPOSE: This study aims to assess CT image quality in a way that would meet specific requirements of clinical practice. Physics metrics like Fourier transform derived metrics were traditionally employed for that. However, assessment methods through a detection task have also developed quite extensively lately, and we chose here to rely on this modality for image quality assessment. Our goal was to develop a tool adapted for a fast and reliable CT image quality assessment in order to pave the way for new CT benchmarking techniques in a clinical context. Additionally, we also used this method to estimate the benefits brought by some IR algorithms.
MATERIALS AND METHODS: A modified QRM chest phantom containing spheres of 5 and 8mm at contrast levels of 10 and 20HU at 120kVp was used. Images of the phantom were acquired at CTDIvol of 0.8, 3.6, 8.2 and 14.5mGy, before being reconstructed using FBP, ASIR 40 and MBIR on a GE HD 750 CT scanner. They were then assessed by eight human observers undergoing a 4-AFC test. After that, these data were compared with the results obtained from two different model observers (NPWE and CHO with DDoG channels). The study investigated the effects of the acquisition conditions as well as reconstruction methods.
RESULTS: NPWE and CHO models both gave coherent results and approximated human observer results well. Moreover, the reconstruction technique used to retrieve the images had a clear impact on the PC values. Both models suggest that switching from FBP to ASIR 40 and particularly to MBIR produces an increase of the low contrast detection, provided a minimum level of exposure is reached.
CONCLUSION: Our work shows that both CHO with DDoG channels and NPWE models both approximate the trend of humans performing a detection task. Both models also suggest that the use of MBIR goes along with an increase of the PCs, indicating that further dose reduction is still possible when using those techniques. Eventually, the CHO model associated to the protocol we described in this study happened to be an efficient way to assess CT images in a clinical environment. In the future, this simple method could represent a sound basis to benchmark clinical practice and CT devices.
Copyright © 2016. Published by Elsevier GmbH.

Entities:  

Keywords:  Bildqualität; Computed Tomography (CT); Computed tomography (CT); Dose reduction; Dosisreduktion; Image quality; Iterative reconstruction (IR); Iterative-Verfahren; Model observer; Model-Beobachter

Mesh:

Year:  2016        PMID: 27156923     DOI: 10.1016/j.zemedi.2016.04.002

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  3 in total

1.  Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.

Authors:  André Euler; Bram Stieltjes; Zsolt Szucs-Farkas; Reto Eichenberger; Clemens Reisinger; Anna Hirschmann; Caroline Zaehringer; Achim Kircher; Matthias Streif; Sabine Bucher; David Buergler; Luigia D'Errico; Sebastién Kopp; Markus Wilhelm; Sebastian T Schindera
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

2.  Use of a channelized Hotelling observer to assess CT image quality and optimize dose reduction for iteratively reconstructed images.

Authors:  Christopher P Favazza; Andrea Ferrero; Lifeng Yu; Shuai Leng; Kyle L McMillan; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-03

3.  Assessment of task-based image quality for abdominal CT protocols linked with national diagnostic reference levels.

Authors:  Anaïs Viry; Christoph Aberle; Thiago Lima; Reto Treier; Sebastian T Schindera; Francis R Verdun; Damien Racine
Journal:  Eur Radiol       Date:  2021-07-29       Impact factor: 5.315

  3 in total

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