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Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae

Author : Daniel Forsberg

Published in: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Publisher: Springer International Publishing

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Abstract

Segmentation of the vertebrae in the spine is of relevance to many medical applications. To this end, the 2nd MICCAI workshop on Computational Methods and Clinical Applications for Spine Imaging organized a segmentation challenge. This paper briefly presents one of the participating methods along with achieved results. The employed method is based upon atlas-based segmentation, where a number of atlases of the spine are registered to the target data set. The labels of the deformed atlases are combined using label fusion to obtain the final segmentation of the target data set. An average DICE score of \( 0.94 \pm 0.03 \) was achieved on the training data set.

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previous chapter Contour Models for Descriptive Patient-Specific Neuro-Anatomical Modeling: Towards a Digital Brainstem Atlas
next chapter Lumbar and Thoracic Spine Segmentation Using a Statistical Multi-object ShapePose Model
Footnotes
1
E. Farhi, The iFit data analysis library, ILL, Computing for Science (2011–2012) http://​ifit.​mccode.​org.
 
Literature
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Forsberg, D., Eklund, A., Andersson, M., Knutsson, H.: Phase-based non-rigid 3D image registration—from minutes to seconds using CUDA. In: HP-MICCAI/MICCAI-DCI 2011 (2011)
2.
Forsberg, D., Lundström, C., Andersson, M., Knutsson, H.: Model-based registration for assessment of spinal deformities in idiopathic scoliosis. Phys. Med. Biol. 59(2), 311–326 (2014)CrossRef
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Forsberg, D., Lundström, C., Andersson, M., Vavruch, L., Tropp, H., Knutsson, H.: Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis. Phys. Med. Biol. 58(6), 1775–1787 (2013)CrossRef
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Knutsson, H., Andersson, M.: Morphons: Segmentation using elastic canvas and paint on priors. In: 2005 IEEE International Conference on Image Processing (ICIP), pp. II–1226-9. IEEE (2005). doi:10.​1109/​ICIP.​2005.​1530283
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Vrtovec, T.: Modality-independent determination of vertebral position and rotation in 3D. In: Dohi, T., Sakuma, I., Liao, H. (eds.) Medical Imaging and Augmented Reality. Lecture Notes in Computer Science, vol. 5128, pp. 89–97. Springer, Berlin (2008)CrossRef
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Yao, J., Burns, J., Munoz, H., Summers, R.: Detection of vertebral body fractures based on cortical shell unwrapping. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) Medical Image Computing and Computer-Assisted Intervention MICCAI. Lecture Notes in Computer Science, vol. 7512, pp. 509–516. Springer, Heidelberg (2012)
Metadata
Title
Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae
Author
Daniel Forsberg
Copyright Year
2015
Book
Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Print ISBN: 978-3-319-14147-3

Electronic ISBN: 978-3-319-14148-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-14148-0_18