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Segmentation of intervertebral discs in 3D MRI data using multi-atlas based registration
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging. Linköping University, Sweden.ORCID iD: 0000-0002-0442-3524
2015 (English)In: Computational Methods and Clinical Applications for Spine Imaging, Springer, 2015, Vol. 9402, p. 107-116Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents one of the participating methods to the intervertebral disc segmentation challenge organized in conjunction with the 3rd MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging - MICCAI-CSI2015. The presented method consist of three steps. In the first step, vertebral bodies are detected and labeled using integral channel features and a graphical parts model. The second step consists of image registration, where a set of image volumes with corresponding intervertebral disc atlases are registered to the target volume using the output from the first step as initialization. In the final step, the registered atlases are combined using label fusion to derive the final segmentation. The pipeline was evaluated using a set of 15 + 10 T2-weighted image volumes provided as training and test data respectively for the segmentation challenge. For the training data, a mean disc centroid distance of 0.86 mm and an average DICE score of 91% was achieved, and for the test data the corresponding results were 0.90 mm and 90%.

Place, publisher, year, edition, pages
Springer, 2015. Vol. 9402, p. 107-116
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 9402
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-258872DOI: 10.1007/978-3-319-41827-8_10ISI: 000389504400010Scopus ID: 2-s2.0-84979239968OAI: oai:DiVA.org:kth-258872DiVA, id: diva2:1350241
Conference
3rd International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015 held in conjunction with 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015; Munich; Germany; 5 October 2015 through 5 October 2015
Note

QC 20190913

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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Output format
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