Real-time needle tip localization in 2D ultrasound images for robotic biopsies

Name: Real-time needle tip localization in 2D ultrasound images for robotic biopsies
Author: Kaya, Mert, Şenel, Enes, Ahmad, Mirza Awais, Orhan, Orçun, Bebek, Özkan

İsim	Real-time needle tip localization in 2D ultrasound images for robotic biopsies
Yazar	Kaya, Mert, Şenel, Enes, Ahmad, Mirza Awais, Orhan, Orçun, Bebek, Özkan
Basım Tarihi:	2015
Basım Yeri	- IEEE
Konu	Gabor filters, Biological tissues, Biomechanics, Biomedical ultrasonics, Deformation, Mean square error methods, Medical image processing, Medical robotics, Needles, Optical tracking, Patient treatment, Phantoms
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-7509-2
Kayıt Numarası	37e20f84-25fe-487b-9052-41abbbd9c0fb
Lokasyon	Mechanical Engineering
Tarih	2015
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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 the estimation noise is reduced with the Kalman filter. This paper also presents the needle tip tracking simulation to test accuracy of the Kalman filter under position misalignments and tissue deformations. In order to execute proposed method in real-time, the bin packing method is used and the processing time is reduced by 56%, without a GPU. The proposed method was tested in four different phantoms and water medium. The accuracy of the needle tip estimation was measured with optical tracking system, and root mean square error (RMS) of the tip position is found to be 1.17 mm. The experiments showed that the algorithm could track the needle tip in real-time.
DOI	10.1109/ICAR.2015.7251432

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Real-time needle tip localization in 2D ultrasound images for robotic biopsies

Yazar Kaya, Mert, Şenel, Enes, Ahmad, Mirza Awais, Orhan, Orçun, Bebek, Özkan

Basım Tarihi 2015

Basım Yeri - IEEE

Konu Gabor filters, Biological tissues, Biomechanics, Biomedical ultrasonics, Deformation, Mean square error methods, Medical image processing, Medical robotics, Needles, Optical tracking, Patient treatment, Phantoms

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-7509-2

Kayıt Numarası 37e20f84-25fe-487b-9052-41abbbd9c0fb

Lokasyon Mechanical Engineering

Tarih 2015

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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 the estimation noise is reduced with the Kalman filter. This paper also presents the needle tip tracking simulation to test accuracy of the Kalman filter under position misalignments and tissue deformations. In order to execute proposed method in real-time, the bin packing method is used and the processing time is reduced by 56%, without a GPU. The proposed method was tested in four different phantoms and water medium. The accuracy of the needle tip estimation was measured with optical tracking system, and root mean square error (RMS) of the tip position is found to be 1.17 mm. The experiments showed that the algorithm could track the needle tip in real-time.

DOI 10.1109/ICAR.2015.7251432