Browsing by Author "Kaya, Mert"
Now showing items 1-6 of 6
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Gabor filter based localization of needles in ultrasound guided robotic interventions
Kaya, Mert; Bebek, Özkan (IEEE, 2014)This paper presents an entropy based parameter tuning method for needle segmentation, and a probability map based needle tip estimation method using Gabor-based line filter. The proposed automatic parameter tuning method ... -
Localization of biopsy needles in 2D ultrasound images using gabor filter
Kaya, Mert (2015-06)Needle Biopsies are common medical procedures to remove tissue samples from the body to be examined for diseases. During these procedures, the needle and its tip are tracked using medical imaging devices to avoid damage ... -
Needle localization using gabor filtering in 2D ultrasound images
Kaya, Mert; Bebek, Özkan (IEEE, 2014)In the percutaneous needle procedures using ultrasound (US) imaging, the needle should be detected precisely to avoid damage to the tissue and to get the samples from the appropriate site. Excessive artifacts and low ... -
Real-time needle tip localization in 2D ultrasound images for robotic biopsies
Kaya, Mert; Şenel, Enes; Ahmad, Awais; Orhan, Orçun; Bebek, Özkan (IEEE, 2015)In this paper, real-time needle tip tracking method using 2D ultrasound (US) images for robotic biopsies is presented. In this method, the needle tip is estimated with the Gabor filter based image processing algorithm, and ... -
Visual tracking of biopsy needles in 2D ultrasound images
Kaya, Mert; Şenel, Enes; Ahmad, Awais; Bebek, Özkan (2016)Ultrasound (US) is one the most commonly used medical imaging techniques in percutaneous needle procedures. However, US images are inherently noisy and contain excessive number of artifacts. Hence, it is not easy to track ... -
Visual tracking of multiple moving targets in 2D ultrasound guided robotic percutaneous interventions
Kaya, Mert; Şenel, Enes; Ahmad, Awais; Bebek, Özkan (IEEE, 2017)Percutaneous needle procedures are mostly carried out with the guidance of 2D ultrasound (US) imaging. US images are inherently noisy and their resolutions are low. Hence, target tracking can be challenging. Image based ...
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