Visual tracking of biopsy needles in 2D ultrasound images

Name: Visual tracking of biopsy needles in 2D ultrasound images
Author: Kaya, Mert, Şenel, Enes, Ahmad, Mirza Awais, Bebek, Özkan

İsim	Visual tracking of biopsy needles in 2D ultrasound images
Yazar	Kaya, Mert, Şenel, Enes, Ahmad, Mirza Awais, Bebek, Özkan
Basım Tarihi:	2016
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1050-4729
Kayıt Numarası	f2979b01-b29a-451a-9b65-8ee1b41ae080
Lokasyon	Mechanical Engineering
Tarih	2016
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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 the needle tip in the US images during the needle insertions. At this point, image based visual tracking techniques can be used for needle tip tracking. This paper presents a method for visual tracking of biopsy needles in 2D US images using sum of squared differences and sum of conditional variances. Second order Gauss-Newton optimization is used to decrease processing time and make the tracking more robust. The needle template images used in the method are updated with a strategy to prevent needle loss and detection failures during tracking. The paper also explains how to identify needle losses during tracking and how to recover the needle position without using a needle localization algorithm. We demonstrate the precision of the visual needle tip tracking method with experiments under challenging tracking conditions.
DOI	10.1109/ICRA.2016.7487637

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Visual tracking of biopsy needles in 2D ultrasound images

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

Basım Tarihi 2016

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1050-4729

Kayıt Numarası f2979b01-b29a-451a-9b65-8ee1b41ae080

Lokasyon Mechanical Engineering

Tarih 2016

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

Örnek Metin 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 the needle tip in the US images during the needle insertions. At this point, image based visual tracking techniques can be used for needle tip tracking. This paper presents a method for visual tracking of biopsy needles in 2D US images using sum of squared differences and sum of conditional variances. Second order Gauss-Newton optimization is used to decrease processing time and make the tracking more robust. The needle template images used in the method are updated with a strategy to prevent needle loss and detection failures during tracking. The paper also explains how to identify needle losses during tracking and how to recover the needle position without using a needle localization algorithm. We demonstrate the precision of the visual needle tip tracking method with experiments under challenging tracking conditions.

DOI 10.1109/ICRA.2016.7487637