Literature DB >> 31630218

Pediatric head computed tomography with advanced modeled iterative reconstruction: focus on image quality and reduction of radiation dose.

Hyun-Hae Cho1, So Mi Lee2, Sun Kyoung You3.   

Abstract

BACKGROUND: Iterative reconstruction has become the standard method for reconstructing computed tomography (CT) scans and needs to be verified for adaptation.
OBJECTIVE: To assess the image quality after adapting advanced modeled iterative reconstruction (ADMIRE) for pediatric head CT.
MATERIALS AND METHODS: We included image sets with filtered back projection reconstruction (the cFBP group, n=105) and both filtered back projection and ADMIRE reconstruction (the lower-dose group, n=109) after dose reduction. All five strength levels of ADMIRE and filtered back projection were adapted for the lower-dose group and compared with the cFBP group. Quantitative parameters including noise, signal-to-noise ratio and contrast-to-noise ratio and qualitative parameters including noise, white matter and gray matter differentiation of the supra- and infratentorial levels, sharpness, artifact, and diagnostic accuracy were also evaluated and compared with interobserver agreement.
RESULTS: There was a mean dose reduction of 30.6% in CT dose index volume, 32.1% in dose length product, and 32.1% in effective dose after tube current reduction. There was gradual reduction of noise in air, cerebrospinal fluid and white matter with strength levels of ADMIRE from 1 to 5 (P<0.001). Signal-to-noise ratio and contrast-to-noise ratio in all age groups increased among strength levels of ADMIRE, in sequence from 1 to 5, with statistical significance (P<0.001). Gradual reduction of qualitative parameters was noted among strength levels of ADMIRE in sequence from 1 to 5 (P<0.001).
CONCLUSION: Use of ADMIRE for pediatric head CT can reduce radiation dose without degrading image quality.

Keywords:  Brain; Children; Computed tomography; Image quality; Iterative reconstruction; Radiation dose

Mesh:

Year:  2019        PMID: 31630218     DOI: 10.1007/s00247-019-04532-z

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  38 in total

1.  Iterative reconstruction in head CT: image quality of routine and low-dose protocols in comparison with standard filtered back-projection.

Authors:  A Korn; M Fenchel; B Bender; S Danz; T K Hauser; D Ketelsen; T Flohr; C D Claussen; M Heuschmid; U Ernemann; H Brodoefel
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

2.  Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients.

Authors:  Yoshiko Sagara; Amy K Hara; William Pavlicek; Alvin C Silva; Robert G Paden; Qing Wu
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

3.  Improved image quality of helical computed tomography of the head in children by iterative reconstruction.

Authors:  Shun Ono; Tetsu Niwa; Noriharu Yanagimachi; Tomohiro Yamashita; Takashi Okazaki; Takakiyo Nomura; Jun Hashimoto; Yutaka Imai
Journal:  J Neuroradiol       Date:  2015-10-28       Impact factor: 3.447

4.  Third-generation dual-source 70-kVp chest CT angiography with advanced iterative reconstruction in young children: image quality and radiation dose reduction.

Authors:  Oliver Rompel; Martin Glöckler; Rolf Janka; Sven Dittrich; Robert Cesnjevar; Michael M Lell; Michael Uder; Matthias Hammon
Journal:  Pediatr Radiol       Date:  2016-01-06

5.  Preconditioning methods for improved convergence rates in iterative reconstructions.

Authors:  N H Clinthorne; T S Pan; P C Chiao; W L Rogers; J A Stamos
Journal:  IEEE Trans Med Imaging       Date:  1993       Impact factor: 10.048

6.  Image comparative assessment using iterative reconstructions: clinical comparison of low-dose abdominal/pelvic computed tomography between adaptive statistical, model-based iterative reconstructions and traditional filtered back projection in 65 patients.

Authors:  Varut Vardhanabhuti; Richard D Riordan; Grant R Mitchell; Christopher Hyde; Carl A Roobottom
Journal:  Invest Radiol       Date:  2014-04       Impact factor: 6.016

Review 7.  Iterative Reconstruction Techniques in Abdominopelvic CT: Technical Concepts and Clinical Implementation.

Authors:  Manuel Patino; Jorge M Fuentes; Sarabjeet Singh; Peter F Hahn; Dushyant V Sahani
Journal:  AJR Am J Roentgenol       Date:  2015-07       Impact factor: 3.959

8.  Noise Reduction in Abdominal Computed Tomography Applying Iterative Reconstruction (ADMIRE).

Authors:  Frank Schaller; Martin Sedlmair; Rainer Raupach; Michael Uder; Michael Lell
Journal:  Acad Radiol       Date:  2016-06-16       Impact factor: 3.173

9.  Pediatric minor head trauma: indications for computed tomographic scanning revisited.

Authors:  B Simon; P Letourneau; E Vitorino; J McCall
Journal:  J Trauma       Date:  2001-08

10.  Head CT: Image quality improvement with ASIR-V using a reduced radiation dose protocol for children.

Authors:  Hyun Gi Kim; Ho-Joon Lee; Seung-Koo Lee; Hyun Ji Kim; Myung-Joon Kim
Journal:  Eur Radiol       Date:  2017-01-23       Impact factor: 5.315

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  6 in total

1.  Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).

Authors:  Injoong Kim; Hyunkoo Kang; Hyun Jung Yoon; Bo Mi Chung; Na-Young Shin
Journal:  Neuroradiology       Date:  2020-10-10       Impact factor: 2.804

2.  [Imaging after trauma in clinics and practice for children and adolescents : Part 1 of the results of a nationwide online survey of the Pediatric Traumatology Section of the German Trauma Society].

Authors:  Klaus Dresing; Ralf Kraus; Francisco Fernandez; Peter Schmittenbecher; Kaya Dresing; Peter Strohm; Christopher Spering
Journal:  Unfallchirurg       Date:  2021-12-16       Impact factor: 1.000

Review 3.  Pitfalls in the interpretation of pediatric head CTs: what the emergency radiologist needs to know.

Authors:  Hannah Hodges; Katherine N Epstein; Michele Retrouvey; Sherry S Wang; Allyson A Richards; Dustin Lima; Jonathan W Revels
Journal:  Emerg Radiol       Date:  2022-04-08

4.  Can QuickBrain MRI replace CT as first-line imaging for select pediatric head trauma?

Authors:  David C Sheridan; David Pettersson; Craig D Newgard; Nathan R Selden; Mubeen A Jafri; Amber Lin; Susan Rowell; Matthew L Hansen
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-06-04

5.  Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach.

Authors:  Hyun Woo Goo
Journal:  Korean J Radiol       Date:  2020-10-30       Impact factor: 3.500

6.  Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.

Authors:  Jihang Sun; Haoyan Li; Bei Wang; Jianying Li; Michelle Li; Zuofu Zhou; Yun Peng
Journal:  BMC Med Imaging       Date:  2021-07-08       Impact factor: 1.930

  6 in total

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