Abstract
The paper deals with design of segmentation method for extraction special types of pathological changes of knee cartilage. Those changes are called chondromalacia of knee cartilage. These pathological changes unfavorable influence cartilage’s surface and significantly deteriorate their structure. Knee cartilage is typically investigated by Magnetic resonance imaging (MRI). MRI is very effective method which is able to differentiate individual knee structures. On the other hand some tiny tissue’s changes are not clearly recognizable because MRI generates image outputs in shade gray levels. Chondromalacia in early stage is manifested by weak contrast compared to its surroundings and therefore it is very complicated to recognize and locate spots where this change is. The proposed segmentation method is able to precisely differentiate individual cartilage structures and perform extraction of cartilage structure and adjacent pathological changes. Furthermore the proposed segmentation method transform MRI data to contrasting color map which is more effective approach then gray shade levels. The proposed algorithm is being tested on sample 30 patient’s records and results are discussed with radiological experts.
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Acknowledgement
This article has been supported by financial support of TA ČR PRE SEED: TG01010137 GAMA PP1. The work and the contributions were supported by the project SP2015/179 ‘Biomedicínské inženýrské systémy XI’ and This work is partially supported by the Science and Research Fund 2014 of the Moravia-Silesian Region, Czech Republic and this paper has been elaborated in the framework of the project “Support research and development in the Moravian-Silesian Region 2014 DT 1 - Research Teams’’ (RRC/07/2014). Financed from the budget of the Moravian-Silesian Region.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kubicek, J., Valosek, J., Penhaker, M., Bryjova, I. (2016). Extraction of Chondromalacia Knee Cartilage Using Multi Slice Thresholding Method. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_37
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DOI: https://doi.org/10.1007/978-3-319-29236-6_37
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