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Proceedings Paper

Coherent needle detection in ultrasound volumes using 3D conditional random fields
Author(s): Farhad Ghazvinian Zanjani; Arash Pourtaherian; Xikai Tang; Svitlana Zinger; Nenad Mihajlovic; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With
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Paper 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.

Paper Details

Date Published: 13 March 2018
PDF: 7 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760W (13 March 2018); doi: 10.1117/12.2293079
Show Author Affiliations
Farhad Ghazvinian Zanjani, Technische Univ. Eindhoven (Netherlands)
Arash Pourtaherian, Technische Univ. Eindhoven (Netherlands)
Xikai Tang, Technische Univ. Eindhoven (Netherlands)
Svitlana Zinger, Technische Univ. Eindhoven (Netherlands)
Nenad Mihajlovic, Philips Research (Netherlands)
Gary C. Ng, Phillips Healthcare (United States)
Hendrikus H. M. Korsten, Catharina Hospital (Netherlands)
Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)


Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster, Editor(s)

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