Literature DB >> 25714298

Hybrid and model-based iterative reconstruction techniques for pediatric CT.

Annemarie M den Harder1, Martin J Willemink, Ricardo P J Budde, Arnold M R Schilham, Tim Leiner, Pim A de Jong.   

Abstract

OBJECTIVE. Radiation exposure from CT examinations should be reduced to a minimum in children. Iterative reconstruction (IR) is a method to reduce image noise that can be used to improve CT image quality, thereby allowing radiation dose reduction. This article reviews the use of hybrid and model-based IRs in pediatric CT and discusses the possibilities, advantages, and disadvantages of IR in pediatric CT and the importance of radiation dose reduction for CT of children. CONCLUSION. IR is a promising and potentially highly valuable technique that can be used to substantially reduce the amount of radiation in pediatric imaging. Future research should determine the maximum achievable radiation dose reduction in pediatric CT that is possible without a loss of diagnostic image quality.

Entities:  

Keywords:  dose reduction; iterative reconstruction; pediatric imaging

Mesh:

Year:  2015        PMID: 25714298     DOI: 10.2214/AJR.14.12590

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  Comparison of Iterative Model Reconstruction versus Filtered Back-Projection in Pediatric Emergency Head CT: Dose, Image Quality, and Image-Reconstruction Times.

Authors:  R N Southard; D M E Bardo; M H Temkit; M A Thorkelson; R A Augustyn; C A Martinot
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-11       Impact factor: 3.825

2.  Image Quality Required for the Diagnosis of Skull Fractures Using Head CT: A Comparison of Conventional and Improved Reconstruction Kernels.

Authors:  S Takagi; M Koyama; K Hayashi; T Kawauchi
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

3.  Model-Based Iterative Reconstruction (MBIR) for ASPECT Scoring in Acute Stroke Patients Selection: Comparison to rCBV and Follow-Up Imaging.

Authors:  Brieg Dissaux; Mourad Cheddad El Aouni; Julien Ognard; Jean-Christophe Gentric
Journal:  Tomography       Date:  2022-05-05

Review 4.  [Iterative algorithms for artifact reduction in computed tomography].

Authors:  S Skornitzke
Journal:  Radiologe       Date:  2018-03       Impact factor: 0.635

5.  Imaging of pediatric great vessel stents: Computed tomography or magnetic resonance imaging?

Authors:  A M den Harder; D Suchá; R W van Hamersvelt; R P J Budde; P A de Jong; A M R Schilham; C Bos; J M P J Breur; T Leiner
Journal:  PLoS One       Date:  2017-01-31       Impact factor: 3.240

6.  Radiation dose reduction for CT assessment of urolithiasis using iterative reconstruction: A prospective intra-individual study.

Authors:  Annemarie M den Harder; Martin J Willemink; Pieter J van Doormaal; Frank J Wessels; M T W T Lock; Arnold M R Schilham; Ricardo P J Budde; Tim Leiner; Pim A de Jong
Journal:  Eur Radiol       Date:  2017-07-10       Impact factor: 5.315

7.  Pediatric 320-row cardiac computed tomography using electrocardiogram-gated model-based full iterative reconstruction.

Authors:  Go Shirota; Eriko Maeda; Yoko Namiki; Razibul Bari; Kenji Ino; Rumiko Torigoe; Osamu Abe
Journal:  Pediatr Radiol       Date:  2017-06-30

8.  Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study.

Authors:  Annemarie M den Harder; Dominika Suchá; Pieter J van Doormaal; Ricardo P J Budde; Pim A de Jong; Arnold M R Schilham; Johannes M P J Breur; Tim Leiner
Journal:  PLoS One       Date:  2017-04-14       Impact factor: 3.240

  8 in total

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