Title :
Contour detection by using radial searching for CT images
Author :
Xu, W. ; Amin, S.A. ; Haas, O.C.L. ; Burnham, K.J. ; Mills, J.A.
Author_Institution :
Sch. of Math. & Inf. Sci., Coventry Univ., UK
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 :
biological organs; computerised tomography; edge detection; image denoising; medical image processing; radiation therapy; 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; Biomedical imaging; Computed tomography; Filtering; Filters; Image edge detection; Image processing; Magnetic resonance imaging; Medical treatment; Pixel; Positron emission tomography;
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
DOI :
10.1109/ITAB.2003.1222550
