Literature DB >> 28638982

Image quality at synthetic brain magnetic resonance imaging in children.

So Mi Lee1, Young Hun Choi2, Jung-Eun Cheon3, In-One Kim3, Seung Hyun Cho1, Won Hwa Kim1, Hye Jung Kim1, Hyun-Hae Cho4, Sun-Kyoung You5, Sook-Hyun Park6, Moon Jung Hwang7.   

Abstract

BACKGROUND: The clinical application of the multi-echo, multi-delay technique of synthetic magnetic resonance imaging (MRI) generates multiple sequences in a single acquisition but has mainly been used in adults.
OBJECTIVE: To evaluate the image quality of synthetic brain MR in children compared with that of conventional images.
MATERIALS AND METHODS: Twenty-nine children (median age: 6 years, range: 0-16 years) underwent synthetic and conventional imaging. Synthetic (T2-weighted, T1-weighted and fluid-attenuated inversion recovery [FLAIR]) images with settings matching those of the conventional images were generated. The overall image quality, gray/white matter differentiation, lesion conspicuity and image degradations were rated on a 5-point scale. The relative contrasts were assessed quantitatively and acquisition times for the two imaging techniques were compared.
RESULTS: Synthetic images were inferior due to more pronounced image degradations; however, there were no significant differences for T1- and T2-weighted images in children <2 years old. The quality of T1- and T2-weighted images were within the diagnostically acceptable range. FLAIR images showed greatly reduced quality. Gray/white matter differentiation was comparable or better in synthetic T1- and T2-weighted images, but poorer in FLAIR images. There was no effect on lesion conspicuity. Synthetic images had equal or greater relative contrast. Acquisition time was approximately two-thirds of that for conventional sequences.
CONCLUSION: Synthetic T1- and T2-weighted images were diagnostically acceptable, but synthetic FLAIR images were not. Lesion conspicuity and gray/white matter differentiation were comparable to conventional MRI.

Entities:  

Keywords:  Brain; Children; Image quality; Magnetic resonance imaging; Multi-echo multi-delay magnetic resonance imaging; Neonates; Synthetic imaging

Mesh:

Year:  2017        PMID: 28638982     DOI: 10.1007/s00247-017-3913-y

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


  19 in total

1.  Novel whole brain segmentation and volume estimation using quantitative MRI.

Authors:  J West; J B M Warntjes; P Lundberg
Journal:  Eur Radiol       Date:  2011-11-24       Impact factor: 5.315

2.  Rapid magnetic resonance quantification on the brain: Optimization for clinical usage.

Authors:  J B M Warntjes; O Dahlqvist Leinhard; J West; P Lundberg
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

3.  Evaluation of automatic measurement of the intracranial volume based on quantitative MR imaging.

Authors:  K Ambarki; T Lindqvist; A Wåhlin; E Petterson; M J B Warntjes; R Birgander; J Malm; A Eklund
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

4.  Automated MR image synthesis: feasibility studies.

Authors:  S J Riederer; S A Suddarth; S A Bobman; J N Lee; H Z Wang; J R MacFall
Journal:  Radiology       Date:  1984-10       Impact factor: 11.105

5.  Synthetic MRI of the brain in a clinical setting.

Authors:  I Blystad; J B M Warntjes; O Smedby; A-M Landtblom; P Lundberg; E-M Larsson
Journal:  Acta Radiol       Date:  2012-09-27       Impact factor: 1.990

6.  Clinical validation of synthetic brain MRI in children: initial experience.

Authors:  Hollie West; James L Leach; Blaise V Jones; Marguerite Care; Rupa Radhakrishnan; Arnold C Merrow; Enrique Alvarado; Suraj D Serai
Journal:  Neuroradiology       Date:  2016-11-26       Impact factor: 2.804

7.  Synthetic MRI in the Detection of Multiple Sclerosis Plaques.

Authors:  A Hagiwara; M Hori; K Yokoyama; M Y Takemura; C Andica; T Tabata; K Kamagata; M Suzuki; K K Kumamaru; M Nakazawa; N Takano; H Kawasaki; N Hamasaki; A Kunimatsu; S Aoki
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-08       Impact factor: 3.825

8.  Utility of a Multiparametric Quantitative MRI Model That Assesses Myelin and Edema for Evaluating Plaques, Periplaque White Matter, and Normal-Appearing White Matter in Patients with Multiple Sclerosis: A Feasibility Study.

Authors:  A Hagiwara; M Hori; K Yokoyama; M Y Takemura; C Andica; K K Kumamaru; M Nakazawa; N Takano; H Kawasaki; S Sato; N Hamasaki; A Kunimatsu; S Aoki
Journal:  AJNR Am J Neuroradiol       Date:  2016-10-27       Impact factor: 3.825

9.  Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study.

Authors:  T Granberg; M Uppman; F Hashim; C Cananau; L E Nordin; S Shams; J Berglund; Y Forslin; P Aspelin; S Fredrikson; M Kristoffersen-Wiberg
Journal:  AJNR Am J Neuroradiol       Date:  2016-01-21       Impact factor: 3.825

10.  Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI.

Authors:  Marcel Warntjes; Maria Engström; Anders Tisell; Peter Lundberg
Journal:  Front Neurol       Date:  2016-02-17       Impact factor: 4.003

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  10 in total

1.  Quantification of myelin in children using multiparametric quantitative MRI: a pilot study.

Authors:  Hyun Gi Kim; Won-Jin Moon; JinJoo Han; Jin Wook Choi
Journal:  Neuroradiology       Date:  2017-08-01       Impact factor: 2.804

2.  Evaluating Tissue Contrast and Detecting White Matter Injury in the Infant Brain: A Comparison Study of Synthetic Phase-Sensitive Inversion Recovery.

Authors:  D Y Kim; W S Jung; J W Choi; J Choung; H G Kim
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-25       Impact factor: 3.825

3.  Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.

Authors:  Amaresha Shridhar Konar; Akash Deelip Shah; Ramesh Paudyal; Maggie Fung; Suchandrima Banerjee; Abhay Dave; Vaios Hatzoglou; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2022-05-27       Impact factor: 6.575

4.  Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.

Authors:  T Vanderhasselt; M Naeyaert; N Watté; G-J Allemeersch; S Raeymaeckers; J Dudink; J de Mey; H Raeymaekers
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-16       Impact factor: 3.825

5.  Validity of SyMRI for Assessment of the Neonatal Brain.

Authors:  Victor Schmidbauer; Gudrun Geisl; Mariana Cardoso Diogo; Suren Jengojan; Vsevolod Perepelov; Michael Weber; Katharina Goeral; Florian Lindenlaub; Katrin Klebermass-Schrehof; Angelika Berger; Daniela Prayer; Gregor Kasprian
Journal:  Clin Neuroradiol       Date:  2020-03-11       Impact factor: 3.649

6.  Signal Intensity within Cerebral Venous Sinuses on Synthetic MRI.

Authors:  Lydia Chougar; Akifumi Hagiwara; Nao Takano; Christina Andica; Julien Cohen-Adad; Marcel Warntjes; Tomoko Maekawa; Masaaki Hori; Saori Koshino; Misaki Nakazawa; Osamu Abe; Shigeki Aoki
Journal:  Magn Reson Med Sci       Date:  2019-04-05       Impact factor: 2.471

7.  Diagnostic advantage of thin slice 2D MRI and multiplanar reconstruction of the knee joint using deep learning based denoising approach.

Authors:  Takahide Kakigi; Ryo Sakamoto; Hiroshi Tagawa; Shinichi Kuriyama; Yoshihito Goto; Masahito Nambu; Hajime Sagawa; Hitomi Numamoto; Kanae Kawai Miyake; Tsuneo Saga; Shuichi Matsuda; Yuji Nakamoto
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

8.  Synthetic MRI in the detection and quantitative evaluation of sacroiliac joint lesions in axial spondyloarthritis.

Authors:  Ke Zhang; Chaoran Liu; Yunfei Zhu; Wenjuan Li; Ximeng Li; Jing Zheng; Guobin Hong
Journal:  Front Immunol       Date:  2022-09-26       Impact factor: 8.786

Review 9.  Infant and Child MRI: A Review of Scanning Procedures.

Authors:  Anni Copeland; Eero Silver; Riikka Korja; Satu J Lehtola; Harri Merisaari; Ekaterina Saukko; Susanne Sinisalo; Jani Saunavaara; Tuire Lähdesmäki; Riitta Parkkola; Saara Nolvi; Linnea Karlsson; Hasse Karlsson; Jetro J Tuulari
Journal:  Front Neurosci       Date:  2021-07-12       Impact factor: 4.677

10.  Investigating the Image Quality and Utility of Synthetic MRI in the Breast.

Authors:  Tomoyuki Fujioka; Mio Mori; Jun Oyama; Kazunori Kubota; Emi Yamaga; Yuka Yashima; Leona Katsuta; Kyoko Nomura; Miyako Nara; Goshi Oda; Tsuyoshi Nakagawa; Ukihide Tateishi
Journal:  Magn Reson Med Sci       Date:  2021-02-02       Impact factor: 2.471

  10 in total

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