A new scheme for curved needle segmentation in threedimensional ultrasound images

Mohammad Aboofazeli; Purang Abolmaesumi; Parvin Mousavi; Gabor Fichtinger

doi:10.1109/ISBI.2009.5193240

A new scheme for curved needle segmentation in threedimensional ultrasound images

Mohammad Aboofazeli, Purang Abolmaesumi, Parvin Mousavi, Gabor Fichtinger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

42 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Pages	1067-1070
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2009.5193240
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States Duration: Jun 28 2009 → Jul 1 2009

Other

Other	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Country/Territory	United States
City	Boston, MA
Period	6/28/09 → 7/1/09

Keywords

Biomedical acoustics
Biomedical imaging
Hough transform
Image analysis
Image segmentation

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2009.5193240

Cite this

Aboofazeli, M, Abolmaesumi, P, Mousavi, P & Fichtinger, G 2009, A new scheme for curved needle segmentation in threedimensional ultrasound images. in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009., 5193240, pp. 1067-1070, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, Boston, MA, United States, 6/28/09. https://doi.org/10.1109/ISBI.2009.5193240

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title = "A new scheme for curved needle segmentation in threedimensional ultrasound images",

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.",

keywords = "Biomedical acoustics, Biomedical imaging, Hough transform, Image analysis, Image segmentation",

author = "Mohammad Aboofazeli and Purang Abolmaesumi and Parvin Mousavi and Gabor Fichtinger",

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doi = "10.1109/ISBI.2009.5193240",

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AU - Aboofazeli, Mohammad

AU - Abolmaesumi, Purang

AU - Mousavi, Parvin

AU - Fichtinger, Gabor

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Biomedical acoustics

KW - Biomedical imaging

KW - Hough transform

KW - Image analysis

KW - Image segmentation

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ER -

A new scheme for curved needle segmentation in threedimensional ultrasound images

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Keywords

ASJC Scopus subject areas

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