scholarly journals A Multi‐Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification

2019 ◽  
Author(s):  
Yoshihisa Otsuka ◽  
Linda Chang ◽  
Yukako Kawasaki ◽  
Dan Wu ◽  
Can Ceritoglu ◽  
...  
Keyword(s):  
Brain Mri ◽  
Neonatal Brain ◽  
Label Fusion

Prognostic Value of Brain Magnetic Resonance Imaging in Neonatal Hypoxic-Ischemic Encephalopathy: A Meta-analysis

2017 ◽  
Vol 32 (13) ◽  
pp. 1065-1073 ◽  
Author(s):  
Iván Sánchez Fernández ◽  
J. Leon Morales-Quezada ◽  
Samuel Law ◽  
Paggie Kim
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Brain Mri ◽  
Brain Magnetic Resonance Imaging ◽  
Hypoxic Ischemic Encephalopathy ◽  
Resonance Imaging ◽  
Neonatal Brain ◽  
Ischemic Encephalopathy

Objective: To quantify the prognostic value of neonatal brain magnetic resonance imaging (MRI) in neonatal hypoxic-ischemic encephalopathy. Methods: Meta-analysis of studies with ≥35-week neonates with hypoxic-ischemic encephalopathy who underwent brain MRI within age 4 weeks and had neurodevelopmental follow-up for at least 12 months. Results: An abnormal neonatal brain MRI was more frequent among patients with unfavorable neurodevelopmental outcome: odds ratio = 18.2 (95% confidence interval: 9.4-34.9), P <.0001. The prognostic value of neonatal brain MRI in moderate hypoxic-ischemic encephalopathy had an odds ratio of 17.7 (95% confidence interval: 5.3-59.3) and in severe hypoxic-ischemic encephalopathy, the odds ratio was 125.0 (95% confidence interval: 2.0-7917.1). Therapeutic hypothermia did not change the prognostic value of neonatal brain MRI (odds ratio for hypothermia, 14.0 [95% confidence interval: 3.1-63.6], vs no hypothermia, 18.1 [95% confidence interval: 10.0-33.1], P = .7525). Conclusion: Neonatal brain MRI provides prognostic information on outcome beyond early infancy in hypoxic-ischemic encephalopathy and therapeutic hypothermia does not change its prognostic value.

Feed and swaddle for neonatal brain MRI: Take stock of the situation!

2019 ◽  
Vol 54 ◽  
pp. 142
Author(s):  
Fabio Sbaraglia ◽  
Rossella Garra ◽  
Marco Rossi
Keyword(s):  
Brain Mri ◽  
Neonatal Brain

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach

2020 ◽  
pp. 253-263
Author(s):  
Irina Grigorescu ◽  
Lucilio Cordero-Grande ◽  
Dafnis Batalle ◽  
A. David Edwards ◽  
Joseph V. Hajnal ◽  
...  
Keyword(s):  
Domain Adaptation ◽  
Brain Mri ◽  
Neonatal Brain

scholarly journals Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI

2018 ◽  
Vol 48 (8) ◽  
pp. 1139-1151 ◽  
Author(s):  
Lili He ◽  
Jinghua Wang ◽  
Zhong-Lin Lu ◽  
Beth M. Kline-Fath ◽  
Nehal A. Parikh
Keyword(s):  
Brain Mri ◽  
Gradient Echo ◽  
Neonatal Brain

An adaptive sparse Bayesian model combined with probabilistic label fusion for multiple sclerosis lesion segmentation in brain MRI

2020 ◽  
Vol 105 ◽  
pp. 695-704
Author(s):  
Jingjing Wang ◽  
Meiru Liu ◽  
Chunhui Zhang ◽  
Huaqiang Xu ◽  
Liren Zhang ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Bayesian Model ◽  
Brain Mri ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation ◽  
Label Fusion

A View on Atlas-Based Neonatal Brain MRI Segmentation

ICTMI 2017 ◽  
2019 ◽  
pp. 199-214
Author(s):  
Maryjo M. George ◽  
S. Kalaivani
Keyword(s):  
Brain Mri ◽  
Neonatal Brain ◽  
Mri Segmentation

Multi-atlas based neonatal brain extraction using atlas library clustering and local label fusion

2020 ◽  
Vol 79 (27-28) ◽  
pp. 19411-19433
Author(s):  
Negar Noorizadeh ◽  
Kamran Kazemi ◽  
Habibollah Danyali ◽  
Abbas Babajani-Feremi ◽  
Ardalan Aarabi
Keyword(s):  
Neonatal Brain ◽  
Label Fusion ◽  
Brain Extraction

Neonatal brain MRI segmentation: A review

2015 ◽  
Vol 64 ◽  
pp. 163-178 ◽  
Author(s):  
Chelli N. Devi ◽  
Anupama Chandrasekharan ◽  
V.K. Sundararaman ◽  
Zachariah C. Alex
Keyword(s):  
Brain Mri ◽  
Neonatal Brain ◽  
Mri Segmentation
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