Needle localization using gabor filtering in 2D ultrasound images

Name: Needle localization using gabor filtering in 2D ultrasound images
Author: Kaya, Mert, Bebek, Özkan

İsim	Needle localization using gabor filtering in 2D ultrasound images
Yazar	Kaya, Mert, Bebek, Özkan
Basım Tarihi:	2014
Basım Yeri	- IEEE
Konu	Gabor filters, Biomedical ultrasonics, Medical image processing, Needles, Phantoms
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1050-4729
Kayıt Numarası	319f4c28-a0ca-4f08-87f5-39773ff9b891
Lokasyon	Mechanical Engineering
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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 resolution of the US images make it difficult to detect the needle and its tip. It is possible to enhance the needle image using image processing; and this work proposes a novel needle detection method in 2D US images based on the Gabor filter. This method enhances the needle outline while suppressing the other structures in the image. First, the needle insertion angle is estimated and then the needle trajectory is found with the RANSAC line estimator. The experiments with three different phantoms showed that the algorithm is robust and could work in percutaneous needle procedures using US images.
DOI	10.1109/ICRA.2014.6907574

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Needle localization using gabor filtering in 2D ultrasound images

Yazar Kaya, Mert, Bebek, Özkan

Basım Tarihi 2014

Basım Yeri - IEEE

Konu Gabor filters, Biomedical ultrasonics, Medical image processing, Needles, Phantoms

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1050-4729

Kayıt Numarası 319f4c28-a0ca-4f08-87f5-39773ff9b891

Lokasyon Mechanical Engineering

Tarih 2014

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

Örnek Metin 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 resolution of the US images make it difficult to detect the needle and its tip. It is possible to enhance the needle image using image processing; and this work proposes a novel needle detection method in 2D US images based on the Gabor filter. This method enhances the needle outline while suppressing the other structures in the image. First, the needle insertion angle is estimated and then the needle trajectory is found with the RANSAC line estimator. The experiments with three different phantoms showed that the algorithm is robust and could work in percutaneous needle procedures using US images.

DOI 10.1109/ICRA.2014.6907574