The shape language in application to the diagnosis of cervical vertebrae pathology

In this paper the possibility of classification of X-ray images of the cervical vertebrae is studied. The images should be classified into one of the following classes-the images of healthy vertebrae and the images of vertebrae with syndesmophytes. The vertebra contours, described unambiguously by u...

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Bibliographic Details
Published in:PloS one 2018-10, Vol.13 (10), p.e0204546-e0204546
Main Authors: Bielecka, Marzena, Obuchowicz, Rafał, Korkosz, Mariusz
Format: Article
Language:English
Subjects:
Algorithms
Arthritis
Biology and Life Sciences
Bones
Cervical Vertebrae - diagnostic imaging
Classification
Computer science
Contours
Fuzzy Logic
Fuzzy sets
Graph representations
Humans
Image classification
Image Interpretation, Computer-Assisted - methods
Inflammation
Language
Medical diagnosis
Medicine and Health Sciences
Pattern recognition
Quality of life
Research and Analysis Methods
Rheumatology
Shape
Social Sciences
Spinal Diseases - diagnostic imaging
Switches
Vertebra
Vertebrae
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Summary:In this paper the possibility of classification of X-ray images of the cervical vertebrae is studied. The images should be classified into one of the following classes-the images of healthy vertebrae and the images of vertebrae with syndesmophytes. The vertebra contours, described unambiguously by using the generalized shape language, are the basis of the analysis. As a result, the contour is represented as a chain of sinquads that determine switches. The found switches are the characteristic points of the analyzed contour. In these points additional features of the contour are determined. On the basis of these features two aforementioned classes of images are defined as fuzzy sets. Such an approach allows us to create a hierarchical algorithm of classification based on the syntactic and fuzzy description of the contour.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0204546