Literature DB >> 26298669

Dose reduction with iterative reconstruction in multi-detector CT: What is the impact on deformation of circular structures in phantom study?

J Greffier1, F Macri2, A Larbi2, A Fernandez2, F Pereira2, C Mekkaoui3, J-P Beregi2.   

Abstract

OBJECTIVES: To evaluate the distortion of circular structures induced by the increased image noise related to dose reduction and to assess the effect of iterative reconstruction (IR).
METHODS: MDCT acquisitions were performed with 120 kVp for 200/100/60/40/20mAs with 100%/50%/30%/20%/10% of dose. Raw data were reconstructed by filtered back projection (FBP) and with two IR strengths. Image quality indices referred to water and acrylic were measured on a quality image phantom. Areas, perimeters, circularity were measured on the circular inserts of 4.8, 7.9 and 11.1mm on a morphological phantom.
RESULTS: Dose reduction resulted in increased image noise and in decreased signal to noise ratio and contrast to noise ratio. IR improved these indices for the same dose without affecting the signal (number CT) and spatial resolution (modulation transfer function). The values of area, perimeter and circularity were altered compared to the actual value and the inserts were visually deformed with the dose reduction. IR improved these three parameters. Image quality indices, areas, perimeters and circularity of inserts were similar between the acquisition at 100% of the dose in FBP, 50% in strength-3 and 30% in strength-5 with different curves of noise power spectrum.
CONCLUSION: IR associated to 70% of dose reduction modifies the images smooth (NPS) but maintains adequate image quality indices without causing distortions of circular structures.
Copyright © 2015 Éditions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Computed tomography; Deformation of circular structures; Image quality; Iterative reconstruction; Noise power spectrum

Mesh:

Year:  2015        PMID: 26298669     DOI: 10.1016/j.diii.2015.06.019

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  4 in total

1.  Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions.

Authors:  Martin H Goodenberger; Nicolaus A Wagner-Bartak; Shiva Gupta; Xinming Liu; Ramon Q Yap; Jia Sun; Eric P Tamm; Corey T Jensen
Journal:  J Comput Assist Tomogr       Date:  2018 Mar/Apr       Impact factor: 1.826

2.  Optimization of radiation dose for CT detection of lytic and sclerotic bone lesions: a phantom study.

Authors:  J Greffier; J Frandon; F Pereira; A Hamard; J P Beregi; A Larbi; P Omoumi
Journal:  Eur Radiol       Date:  2019-09-10       Impact factor: 5.315

3.  CT iterative reconstruction algorithms: a task-based image quality assessment.

Authors:  J Greffier; J Frandon; A Larbi; J P Beregi; F Pereira
Journal:  Eur Radiol       Date:  2019-07-29       Impact factor: 5.315

4.  The potential for reduced radiation dose from deep learning-based CT image reconstruction: A comparison with filtered back projection and hybrid iterative reconstruction using a phantom.

Authors:  Ji Eun Lee; Seo-Youn Choi; Jeong Ah Hwang; Sanghyeok Lim; Min Hee Lee; Boem Ha Yi; Jang Gyu Cha
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

  4 in total

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