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. 2009 Aug 1:2009:1067-1070.
doi: 10.1109/ISBI.2009.5193240.

A New Scheme for Curved Needle Segmentation in Three-Dimensional Ultrasound Images

Mohammad Aboofazeli  1 , Purang Abolmaesumi, Parvin Mousavi, Gabor Fichtinger
Affiliations

A New Scheme for Curved Needle Segmentation in Three-Dimensional Ultrasound Images

Mohammad Aboofazeli et al. Proc IEEE Int Symp Biomed Imaging. .

Abstract

Ultrasound image guided needle insertion is the method of choice for a wide variety of medical diagnostic and therapeutic procedures. When flexible needles are inserted in soft tissue, these needles generally follow a curved path. Segmenting the trajectory of the needles in ultrasound images will facilitate guiding them within the tissue. In this paper, a novel algorithm for curved needle segmentation in three-dimensional (3D) ultrasound images is presented. The algorithm is based on the projection of a filtered 3D image onto a two-dimensional (2D) image. Detection of the needle in the resulting 2D image determines a surface on which the needle is located. The needle is then segmented on the surface. The proposed technique is able to detect needles without any previous assumption about the needle shape, or any a priori knowledge about the needle insertion axis line.

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Figures

Figure 1
Figure 1
Projection of the needle in the 3D image (red curve) onto xy-plane (green curve) using ray casting.
Figure 2
Figure 2
The surface on which the needle is located
Figure 3
Figure 3
A 2D slice of a 3D image before (left) and after (right) speckle reduction step.
Figure 4
Figure 4
2D projected image (left) and segments detected using the Hough transform (right).
Figure 5
Figure 5
A curve marking the needle in projected 2D image (left) and detected needle in the flattened image (right).
Figure 6
Figure 6
Needle detected in a 3D image.
Figure 7
Figure 7
Needle detected in a case where the image has poor quality at some parts of the needle.
See this image and copyright information in PMC

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