Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia
To investigate the use of three-dimensional (3D) brain magnetic resonance imaging (MRI) to evaluate in preterm children with periventricular leukomalacia. Materials and Methods: Semiautomated 3D classification of the gray and white tissues was used to reconstruct brain images of patients with confir...
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doaj-28ddc551465446e28fc6bafd5e50c03b2020-11-24T22:45:11ZengElsevierPediatrics and Neonatology1875-95722012-02-01531454810.1016/j.pedneo.2011.11.009Three-Dimensional Brain Images in Preterm Children With Periventricular LeukomalaciaHsiao-Feng Chou0Ming-Fan Lin1Chia-Yuan Chen2Ein-Yiao Shen3Department of Pediatrics, Taipei Medical University-Wan Fang Hospital, Taipei, TaiwanDepartment of Radiology, Taipei Medical University-Wan Fang Hospital, Taipei, TaiwanDepartment of Radiology, Taipei Medical University-Wan Fang Hospital, Taipei, TaiwanDepartment of Pediatrics, Taipei Medical University-Wan Fang Hospital, Taipei, TaiwanTo investigate the use of three-dimensional (3D) brain magnetic resonance imaging (MRI) to evaluate in preterm children with periventricular leukomalacia. Materials and Methods: Semiautomated 3D classification of the gray and white tissues was used to reconstruct brain images of patients with confirmed periventricular leukomalacia from 2D MRI. Results: We studied 14 preterm patients. The gestational age ranged from 25–37 weeks. The corrected age ranged from 5–49 months. We reconstructed the gray matter, white matter, and ventricles in order to analyze the brain volume. Conclusion: Three-dimensional MRI is a good tool that can be used to demonstrate brain lesions in stereo and differentiate the gray matter, white matter, and ventricles. Brain volume can also be accurately evaluated.http://www.sciencedirect.com/science/article/pii/S18759572110017323D MRIperiventricular leukomalaciapreterm infant |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hsiao-Feng Chou Ming-Fan Lin Chia-Yuan Chen Ein-Yiao Shen |
spellingShingle |
Hsiao-Feng Chou Ming-Fan Lin Chia-Yuan Chen Ein-Yiao Shen Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia Pediatrics and Neonatology 3D MRI periventricular leukomalacia preterm infant |
author_facet |
Hsiao-Feng Chou Ming-Fan Lin Chia-Yuan Chen Ein-Yiao Shen |
author_sort |
Hsiao-Feng Chou |
title |
Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia |
title_short |
Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia |
title_full |
Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia |
title_fullStr |
Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia |
title_full_unstemmed |
Three-Dimensional Brain Images in Preterm Children With Periventricular Leukomalacia |
title_sort |
three-dimensional brain images in preterm children with periventricular leukomalacia |
publisher |
Elsevier |
series |
Pediatrics and Neonatology |
issn |
1875-9572 |
publishDate |
2012-02-01 |
description |
To investigate the use of three-dimensional (3D) brain magnetic resonance imaging (MRI) to evaluate in preterm children with periventricular leukomalacia.
Materials and Methods: Semiautomated 3D classification of the gray and white tissues was used to reconstruct brain images of patients with confirmed periventricular leukomalacia from 2D MRI.
Results: We studied 14 preterm patients. The gestational age ranged from 25–37 weeks. The corrected age ranged from 5–49 months. We reconstructed the gray matter, white matter, and ventricles in order to analyze the brain volume.
Conclusion: Three-dimensional MRI is a good tool that can be used to demonstrate brain lesions in stereo and differentiate the gray matter, white matter, and ventricles. Brain volume can also be accurately evaluated. |
topic |
3D MRI periventricular leukomalacia preterm infant |
url |
http://www.sciencedirect.com/science/article/pii/S1875957211001732 |
work_keys_str_mv |
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