0 92

Cited 2 times in

Data-driven synthetic MRI FLAIR artifact correction via deep neural network

Authors
 Kanghyun Ryu  ;  Yoonho Nam  ;  Sung‐Min Gho  ;  Jinhee Jang  ;  Ho‐Joon Lee  ;  Jihoon Cha  ;  Hye Jin Baek  ;  Jiyong Park  ;  Dong‐Hyun Kim 
Citation
 JOURNAL OF MAGNETIC RESONANCE IMAGING, Vol.50(5) : 1413-1423, 2019 
Journal Title
 JOURNAL OF MAGNETIC RESONANCE IMAGING 
ISSN
 1053-1807 
Issue Date
2019
Keywords
MDME ; convolutional neural network ; synthetic FLAIR artifact correction ; synthetic MRI
Abstract
PURPOSE: To correct artifacts in synthetic FLAIR using a DL method. STUDY TYPE: Retrospective. SUBJECTS: A total of 80 subjects with clinical indications (60.6 ± 16.7 years, 38 males, 42 females) were divided into three groups: a training set (56 subjects, 62.1 ± 14.8 years, 25 males, 31 females), a validation set (1 subject, 62 years, male), and the testing set (23 subjects, 57.3 ± 20.4 years, 13 males, 10 females). FIELD STRENGTH/SEQUENCE: 3 T MRI using a multiple-dynamic multiple-echo acquisition (MDME) sequence for synthetic MRI and a conventional FLAIR sequence. ASSESSMENT: Normalized root mean square (NRMSE) and structural similarity (SSIM) were computed for uncorrected synthetic FLAIR and DL-corrected FLAIR. In addition, three neuroradiologists scored the three FLAIR datasets blindly, evaluating image quality and artifacts for sulci/periventricular and intraventricular/cistern space regions. STATISTICAL TESTS: Pairwise Student's t-tests and a Wilcoxon test were performed. RESULTS: For quantitative assessment, NRMSE improved from 4.2% to 2.9% (P < 0.0001) and SSIM improved from 0.85 to 0.93 (P < 0.0001). Additionally, NRMSE values significantly improved from 1.58% to 1.26% (P < 0.001), 3.1% to 1.5% (P < 0.0001), and 2.7% to 1.4% (P < 0.0001) in white matter, gray matter, and cerebral spinal fluid (CSF) regions, respectively, when using DL-corrected FLAIR. For qualitative assessment, DL correction achieved improved overall quality, fewer artifacts in sulci and periventricular regions, and in intraventricular and cistern space regions. DATA CONCLUSION: The DL approach provides a promising method to correct artifacts in synthetic FLAIR. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 1
Full Text
https://onlinelibrary.wiley.com/doi/full/10.1002/jmri.26712
DOI
10.1002/jmri.26712
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Lee, Ho Joon(이호준)
Cha, Jihoon(차지훈)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/173366
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links