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Bayesian automated cortical segmentation for neonatal MRI.

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第一作者： Zane,Chou

第一单位： CIBORG laboratory, Department of Radiology, Children's Hospital of Los Angeles, CA, USA.;Viterbi School of Engineering, University of Southern California, CA, USA.

作者： Zane,Chou ^[1] ; Natacha,Paquette ^[2] ; Bhavana,Ganesh ^[1] ; Yalin,Wang ^[3] ; Rafael,Ceschin ^[4] ; Marvin D,Nelson ^[5] ; Luke,Macyszyn ^[6] ; Bilwaj,Gaonkar ^[6] ; Ashok,Panigrahy ^[7] ; Natasha,Lepore ^[1]

作者单位： CIBORG laboratory, Department of Radiology, Children's Hospital of Los Angeles, CA, USA.;Viterbi School of Engineering, University of Southern California, CA, USA. ^[1] CIBORG laboratory, Department of Radiology, Children's Hospital of Los Angeles, CA, USA. ^[2] Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA. ^[3] Department of Radiology, Children's Hospital of Los Angeles, CA, USA. ^[4] Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.;Department of Neurosurgery, University of California Los Angeles, CA, USA. ^[5] School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA. ^[6] CIBORG laboratory, Department of Radiology, Children's Hospital of Los Angeles, CA, USA.;Department of Radiology, Children's Hospital of Los Angeles, CA, USA. ^[7]

关键词 Brain tissue segmentation Cortical grey matter (cGM)Magnetic resonance imaging (MRI)Neonatal brain Prematurity Unmyelinated white matter (uWM)

DOI 10.1117/12.2285217

PMID 31178619

发布时间 2024-07-17

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