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2019 | OriginalPaper | Chapter

Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms

Authors : Nedelcho Georgiev, Asen Asenov

Published in: Computational Methods and Clinical Applications for Spine Imaging

Publisher: Springer International Publishing

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Abstract

MRI is considered the gold standard in soft tissue diagnostic of the lumbar spine. Number of protocols and modalities are used – from one hand 2D sagittal, 2D angulated axial, 2D consecutive axial and 3D image types; from the other hand different sequences and contrasts are used: T1w, T2w; fat suppression, water suppression etc. Images of different modalities are not always aligned. Resolutions and field of view also vary. SNR is also different for different MRI equipment. So the goal should be to create an algorithm that covers great variety of imaging techniques.

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previous chapter Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing

next chapter Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge

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Title: Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms
Authors: Nedelcho Georgiev
Asen Asenov
Publisher: Springer International Publishing
Book: Computational Methods and Clinical Applications for Spine Imaging
Print ISBN: 978-3-030-13735-9

Electronic ISBN: 978-3-030-13736-6

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-13736-6_13

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