Automatic bone segmentation technique for CT angiographic studies

Martin Fiebich; Christopher M. Straus; Vivek Sehgal; Bernhard C. Renger; Kunio Doi; Kenneth R. Hoffmann

doi:10.1097/00004728-199901000-00031

Automatic bone segmentation technique for CT angiographic studies

Martin Fiebich
, Christopher M. Straus
, Vivek Sehgal
, Bernhard C. Renger
, Kunio Doi
, Kenneth R. Hoffmann

Neurosurgery

The University of Chicago
University of Münster

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

Purpose: The purpose of this work was to develop and evaluate an automatic bone segmentation technique for CT angiographic studies. Method: An automatic bone segmentation scheme was developed and applied to 40 CT examinations. The results of the segmentation were evaluated subjectively by two radiologists. Results: The bone segmentation was, on average, rated between excellent and good. Automatic segmentation required ~25 s/case. Conclusion: With this high quality technique, bone can be segmented easily and accurately and subsequently can be removed from CT data sets for further 3D visualization and analysis of various organs.

Original language	English
Pages (from-to)	155-161
Number of pages	7
Journal	Journal of Computer Assisted Tomography
Volume	23
Issue number	1
DOIs	https://doi.org/10.1097/00004728-199901000-00031
State	Published - 1999

Keywords

Bones
Bones, segmentation
Computed tomography, angiography (CTA)
Computed tomography, techniques
Computed tomography, three-dimensional
Image processing

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10.1097/00004728-199901000-00031

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title = "Automatic bone segmentation technique for CT angiographic studies",

abstract = "Purpose: The purpose of this work was to develop and evaluate an automatic bone segmentation technique for CT angiographic studies. Method: An automatic bone segmentation scheme was developed and applied to 40 CT examinations. The results of the segmentation were evaluated subjectively by two radiologists. Results: The bone segmentation was, on average, rated between excellent and good. Automatic segmentation required \textasciitilde{}25 s/case. Conclusion: With this high quality technique, bone can be segmented easily and accurately and subsequently can be removed from CT data sets for further 3D visualization and analysis of various organs.",

keywords = "Bones, Bones, segmentation, Computed tomography, angiography (CTA), Computed tomography, techniques, Computed tomography, three-dimensional, Image processing",

author = "Martin Fiebich and Straus, \{Christopher M.\} and Vivek Sehgal and Renger, \{Bernhard C.\} and Kunio Doi and Hoffmann, \{Kenneth R.\}",

year = "1999",

doi = "10.1097/00004728-199901000-00031",

language = "English",

volume = "23",

pages = "155--161",

journal = "Journal of Computer Assisted Tomography",

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TY - JOUR

T1 - Automatic bone segmentation technique for CT angiographic studies

AU - Fiebich, Martin

AU - Straus, Christopher M.

AU - Sehgal, Vivek

AU - Renger, Bernhard C.

AU - Doi, Kunio

AU - Hoffmann, Kenneth R.

PY - 1999

Y1 - 1999

N2 - Purpose: The purpose of this work was to develop and evaluate an automatic bone segmentation technique for CT angiographic studies. Method: An automatic bone segmentation scheme was developed and applied to 40 CT examinations. The results of the segmentation were evaluated subjectively by two radiologists. Results: The bone segmentation was, on average, rated between excellent and good. Automatic segmentation required ~25 s/case. Conclusion: With this high quality technique, bone can be segmented easily and accurately and subsequently can be removed from CT data sets for further 3D visualization and analysis of various organs.

AB - Purpose: The purpose of this work was to develop and evaluate an automatic bone segmentation technique for CT angiographic studies. Method: An automatic bone segmentation scheme was developed and applied to 40 CT examinations. The results of the segmentation were evaluated subjectively by two radiologists. Results: The bone segmentation was, on average, rated between excellent and good. Automatic segmentation required ~25 s/case. Conclusion: With this high quality technique, bone can be segmented easily and accurately and subsequently can be removed from CT data sets for further 3D visualization and analysis of various organs.

KW - Bones

KW - Bones, segmentation

KW - Computed tomography, angiography (CTA)

KW - Computed tomography, techniques

KW - Computed tomography, three-dimensional

KW - Image processing

UR - https://www.scopus.com/pages/publications/0032970211

U2 - 10.1097/00004728-199901000-00031

DO - 10.1097/00004728-199901000-00031

M3 - Article

C2 - 10050827

AN - SCOPUS:0032970211

SN - 0363-8715

VL - 23

SP - 155

EP - 161

JO - Journal of Computer Assisted Tomography

JF - Journal of Computer Assisted Tomography

IS - 1

ER -

Automatic bone segmentation technique for CT angiographic studies

Abstract

Keywords

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