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 |
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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 | |
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 |
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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 TopicKeywords
- 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