Abstract
During last decades a fast development of imaging techniques has offered the intra-operative visualization as the integral part of surgical tools. For this, the automated and robust analysis of ultrasound images is required. The paper meets these requirements targeting in detection of tissue deformations caused by biopsy needle inserted in the body. The presented novel technique uses ultrasound data supported by elastography images. In the feature set, the automated detection algorithm introduces Histogram of Oriented Gradients and image entropy. The further classification steps applies Weighted Fuzzy C-Means (WFCM) clustering technique resulting in deformation detection sensitivity and specificity at levels 0.793 and 0.94, respectively.
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Acknowledgments
This research was supported by the Polish National Science Center (NCN) grant No. UMO-2012/05/B/ST7/02136.
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Czajkowska, J., Juszczyk, J., Pycinski, B., Pietka, E. (2016). Biopsy Needle and Tissue Deformations Detection in Elastography Supported Ultrasound. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_8
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