Needle segmentation in 3D ultrasound images based on phase grouping

Siying Zhao; Wu Qiu; Yuchi Ming; Mingyue Ding

doi:10.1117/12.832736

30 October 2009 Needle segmentation in 3D ultrasound images based on phase grouping

Siying Zhao, Wu Qiu, Yuchi Ming, Mingyue Ding

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74971L (2009) https://doi.org/10.1117/12.832736
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Three Dimensional (3D) ultrasound images can provide spatial information to help doctors locate the needle position precisely in ultrasound-guided surgery. In this paper, we present a method called "3D Phase-grouping" to segment the needle inside the patient. The method is an extension from 2D phase-grouping to the 3D case via a new mathematic model-the outer products of adjacent orientation vectors. Firstly, the voxels with the same outer products of the gradient orientation vectors of the adjacent points are divided into Line Support Regions (LSR). Then, the needle is extracted with the 3D Least-Squares line fitting method in the maximal LSR. Synthetic and 3D ultrasound phantom data were tested. The segmentation results were evaluated by the angular deviation, position deviation and computational time. Compared with the 3D Hough transform, 3D Phase-Grouping is more accurate and faster without using pre-information. The computational complexity and robustness of the algorithm remain to be our future research topics.

Citation Download Citation

Siying Zhao, Wu Qiu, Yuchi Ming, and Mingyue Ding "Needle segmentation in 3D ultrasound images based on phase grouping", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971L (30 October 2009); https://doi.org/10.1117/12.832736

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