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Article

Use of Texture Feature Maps for the Refinement of Information Derived from Digital Intraoral Radiographs of Lytic and Sclerotic Lesions

1
Department of Diagnostic Imaging, Jagiellonian University Medical College, 19 Kopernika Street, 31-501 Cracow, Poland
2
Institute of Informatics, Faculty of Automatic Control, Electronics, and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
3
Department of Conservative Dentistry with Endodontics, Jagiellonian University Collegium Medicum, Montelupich. 4, 31-155 Cracow, Poland
4
Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(15), 2968; https://doi.org/10.3390/app9152968
Received: 17 May 2019 / Revised: 15 July 2019 / Accepted: 19 July 2019 / Published: 24 July 2019
(This article belongs to the Special Issue Texture and Colour in Image Analysis)
The aim of this study was to examine whether additional digital intraoral radiography (DIR) image preprocessing based on textural description methods improves the recognition and differentiation of periapical lesions. (1) DIR image analysis protocols incorporating clustering with the k-means approach (CLU), texture features derived from co-occurrence matrices, first-order features (FOF), gray-tone difference matrices, run-length matrices (RLM), and local binary patterns, were used to transform DIR images derived from 161 input images into textural feature maps. These maps were used to determine the capacity of the DIR representation technique to yield information about the shape of a structure, its pattern, and adequate tissue contrast. The effectiveness of the textural feature maps with regard to detection of lesions was revealed by two radiologists independently with consecutive interrater agreement. (2) High sensitivity and specificity in the recognition of radiological features of lytic lesions, i.e., radiodensity, border definition, and tissue contrast, was accomplished by CLU, FOF energy, and RLM. Detection of sclerotic lesions was refined with the use of RLM. FOF texture contributed substantially to the high sensitivity of diagnosis of sclerotic lesions. (3) Specific DIR texture-based methods markedly increased the sensitivity of the DIR technique. Therefore, application of textural feature mapping constitutes a promising diagnostic tool for improving recognition of dimension and possibly internal structure of the periapical lesions. View Full-Text
Keywords: digital intraoral radiography; image preprocessing; periapical lesions; texture analysis digital intraoral radiography; image preprocessing; periapical lesions; texture analysis
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MDPI and ACS Style

Obuchowicz, R.; Nurzynska, K.; Obuchowicz, B.; Urbanik, A.; Piórkowski, A. Use of Texture Feature Maps for the Refinement of Information Derived from Digital Intraoral Radiographs of Lytic and Sclerotic Lesions. Appl. Sci. 2019, 9, 2968. https://doi.org/10.3390/app9152968

AMA Style

Obuchowicz R, Nurzynska K, Obuchowicz B, Urbanik A, Piórkowski A. Use of Texture Feature Maps for the Refinement of Information Derived from Digital Intraoral Radiographs of Lytic and Sclerotic Lesions. Applied Sciences. 2019; 9(15):2968. https://doi.org/10.3390/app9152968

Chicago/Turabian Style

Obuchowicz, Rafał, Karolina Nurzynska, Barbara Obuchowicz, Andrzej Urbanik, and Adam Piórkowski. 2019. "Use of Texture Feature Maps for the Refinement of Information Derived from Digital Intraoral Radiographs of Lytic and Sclerotic Lesions" Applied Sciences 9, no. 15: 2968. https://doi.org/10.3390/app9152968

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