Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification

Background: Bone marrow fat (BMF) fraction quantification in vertebral bodies is used as a novel imaging biomarker to assess and characterize chronic lower back pain. However, manual segmentation of vertebral bodies is time consuming and laborious.Purpose: (1) Develop a deep learning pipeline for se...

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Bibliographic Details
Main Authors: Jiamin Zhou, Pablo F. Damasceno, Ravi Chachad, Justin R. Cheung, Alexander Ballatori, Jeffrey C. Lotz, Ann A. Lazar, Thomas M. Link, Aaron J. Fields, Roland Krug
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Endocrinology
Subjects:
spine imaging
bone marrow fat
biomarkers
deep learning
segmentation
magnetic resonance imaging
Online Access:https://www.frontiersin.org/article/10.3389/fendo.2020.00612/full

Internet

https://www.frontiersin.org/article/10.3389/fendo.2020.00612/full

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