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Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model
Joint Authors
Kotwicki, Tomasz
Gaweł, Dominik
Główka, Paweł
Nowak, Michał
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The study introduces a novel method for automatic segmentation of vertebral column tissue from MRI images.
The paper describes a method that combines multiple stages of Machine Learning techniques to recognize and separate different tissues of the human spine.
For the needs of this paper, 50 MRI examinations presenting lumbosacral spine of patients with low back pain were selected.
After the initial filtration, automatic vertebrae recognition using Cascade Classifier takes place.
Afterwards the main segmentation process using the patch based Active Appearance Model is performed.
Obtained results are interpolated using centripetal Catmull–Rom splines.
The method was tested on previously unseen vertebrae images segmented manually by 5 physicians.
A test validating algorithm convergence per iteration was performed and the Intraclass Correlation Coefficient was calculated.
Additionally, the 10-fold cross-validation analysis has been done.
Presented method proved to be comparable to the physicians (FF=90.19±1.01%).
Moreover results confirmed a proper algorithm convergence.
Automatically segmented area correlated well with manual segmentation for single measurements (r¯=0.8336) and for average measurements (r¯=0.9068) with p=0.05.
The 10-fold cross-validation analysis (FF=91.37±1.13%) confirmed a good model generalization resulting in practical performance.
American Psychological Association (APA)
Gaweł, Dominik& Główka, Paweł& Kotwicki, Tomasz& Nowak, Michał. 2018. Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model. BioMed Research International،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1128813
Modern Language Association (MLA)
Gaweł, Dominik…[et al.]. Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model. BioMed Research International No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1128813
American Medical Association (AMA)
Gaweł, Dominik& Główka, Paweł& Kotwicki, Tomasz& Nowak, Michał. Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1128813
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128813