Contour detection by using radial searching for CT images

Weibing Xu; Saad A. Amin; Olivier C.L. Haas; Keith J. Burnham; John A. Mills

doi:10.1109/ITAB.2003.1222550

Contour detection by using radial searching for CT images

Weibing Xu, Saad A. Amin, Olivier C.L. Haas, Keith J. Burnham, John A. Mills

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

3 Citations (Scopus)

Abstract

Medical image processing is used to improve the accuracy and efficiency of radiotherapy treatment planning, but the noise and low contrast produce difficulties for image processing. This paper presents a method using radial searching for contour detection. Implementation of the noise suppression method improves the quality of the computed tomography image and the rule-based filtering smoothes the contour of the organ detected.

Original language	English
Title of host publication	Conference On Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic
Publisher	IEEE
Pages	346-349
Number of pages	4
ISBN (Print)	0-7803-7667-6
DOIs	https://doi.org/10.1109/ITAB.2003.1222550
Publication status	Published - Apr 2003
Event	4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine - Birmingham, United Kingdom Duration: 24 Apr 2003 → 26 Apr 2003 Conference number: 4th

Conference

Conference	4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine
Country	United Kingdom
City	Birmingham
Period	24/04/03 → 26/04/03

Bibliographical note

This conference paper is not yet available on the repository. The paper was given at the conference on Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic

Keywords

CT images
computed tomography image quality
contour detection
low contrast
medical image processing
noise
noise suppression method
organ
radial searching
radiotherapy treatment planning
rule-based filtering

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10.1109/ITAB.2003.1222550

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Cite this

Xu, W., Amin, S. A., Haas, O. C. L., Burnham, K. J., & Mills, J. A. (2003). Contour detection by using radial searching for CT images. In Conference On Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic (pp. 346-349). IEEE. https://doi.org/10.1109/ITAB.2003.1222550

Xu, W, Amin, SA, Haas, OCL, Burnham, KJ & Mills, JA 2003, Contour detection by using radial searching for CT images. in Conference On Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic. IEEE, pp. 346-349, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, Birmingham, United Kingdom, 24/04/03. https://doi.org/10.1109/ITAB.2003.1222550

@inproceedings{43fba66f238b4275a1fdd8bc1e494097,

title = "Contour detection by using radial searching for CT images",

abstract = "Medical image processing is used to improve the accuracy and efficiency of radiotherapy treatment planning, but the noise and low contrast produce difficulties for image processing. This paper presents a method using radial searching for contour detection. Implementation of the noise suppression method improves the quality of the computed tomography image and the rule-based filtering smoothes the contour of the organ detected.",

keywords = "CT images, computed tomography image quality, contour detection, low contrast, medical image processing, noise, noise suppression method, organ, radial searching, radiotherapy treatment planning, rule-based filtering",

author = "Weibing Xu and Amin, {Saad A.} and Haas, {Olivier C.L.} and Burnham, {Keith J.} and Mills, {John A.}",

note = "This conference paper is not yet available on the repository. The paper was given at the conference on Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic",

year = "2003",

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doi = "10.1109/ITAB.2003.1222550",

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AU - Xu, Weibing

AU - Amin, Saad A.

AU - Haas, Olivier C.L.

AU - Burnham, Keith J.

AU - Mills, John A.

N1 - This conference paper is not yet available on the repository. The paper was given at the conference on Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic

PY - 2003/4

Y1 - 2003/4

N2 - Medical image processing is used to improve the accuracy and efficiency of radiotherapy treatment planning, but the noise and low contrast produce difficulties for image processing. This paper presents a method using radial searching for contour detection. Implementation of the noise suppression method improves the quality of the computed tomography image and the rule-based filtering smoothes the contour of the organ detected.

AB - Medical image processing is used to improve the accuracy and efficiency of radiotherapy treatment planning, but the noise and low contrast produce difficulties for image processing. This paper presents a method using radial searching for contour detection. Implementation of the noise suppression method improves the quality of the computed tomography image and the rule-based filtering smoothes the contour of the organ detected.

KW - CT images

KW - computed tomography image quality

KW - contour detection

KW - low contrast

KW - medical image processing

KW - noise

KW - noise suppression method

KW - organ

KW - radial searching

KW - radiotherapy treatment planning

KW - rule-based filtering

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DO - 10.1109/ITAB.2003.1222550

M3 - Conference proceeding

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EP - 349

BT - Conference On Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic

PB - IEEE

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