Coherent needle detection in ultrasound volumes using 3D conditional random fields

Farhad Ghazvinian Zanjani; Arash Pourtaherian; Xikai Tang; Svitlana Zinger; Nenad Mihajlovic; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With

doi:10.1117/12.2293079

13 March 2018 Coherent needle detection in ultrasound volumes using 3D conditional random fields

Farhad Ghazvinian Zanjani, Arash Pourtaherian, Xikai Tang, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With

Author Affiliations +

Proceedings Volume 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling; 105760W (2018) https://doi.org/10.1117/12.2293079
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

3D ultrasound (US) transducers will improve the quality of image-guided medical interventions if an automated detection of the needle becomes possible. Image-based detection of the needle is challenging due to the presence of other echogenic structures in the acquired data, inconsistent visibility of needle parts and the low quality in US imaging. As the currently applied approaches for needle detection classify each voxel individually, they do not consider the global relations between the voxels. In this work, we introduce coherent needle labeling by using dense conditional random fields over a volume, along with 3D space-frequency features. The proposal includes long-distance dependencies in voxel pairs according to their similarities in the feature space and their spatial distance. This post-processing stage leads to better label assignment of volume voxels and a more compact and coherent segmented region. Our ex-vivo experiments based on measuring the F-1, F-2 and IoU scores show that the performance improves a significant 10-20 % compared with only using the linear SVM as a baseline for voxel classification.

Conference Presentation

Citation Download Citation

Farhad Ghazvinian Zanjani, Arash Pourtaherian, Xikai Tang, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, and Peter H. N. de With "Coherent needle detection in ultrasound volumes using 3D conditional random fields", Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760W (13 March 2018); https://doi.org/10.1117/12.2293079

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available