Practical contour segmentation algorithm for small animal digital radiography image

Fang Zheng; Gong Hui

doi:10.1117/12.819427

6 March 2009 Practical contour segmentation algorithm for small animal digital radiography image

Fang Zheng, Gong Hui

Proceedings Volume 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine; 72800K (2009) https://doi.org/10.1117/12.819427
Event: Photonics and Optoelectronics Meetings, 2008, Wuhan, China

Abstract

In this paper a practical, automated contour segmentation technique for digital radiography image is described. Digital radiography is an imaging mode based on the penetrability of x-ray. Unlike reflection imaging mode such as visible light camera, the pixel brightness represents the summation of the attenuations on the photon thoroughfare. It is not chromophotograph but gray scale picture. Contour extraction is of great importance in medical applications, especially in non-destructive inspection. Manual segmentation techniques include pixel selection, geometrical boundary selection and tracing. But it relies heavily on the experience of the operators, and is time-consuming. Some researchers try to find contours from the intensity jumping characters around them. However these characters also exist in the juncture of bone and soft tissue. The practical way is back to the primordial threshold algorithm. This research emphasizes on how to find the optimal threshold. A high resolution digital radiography system is used to provide the oriental gray scale image. A mouse is applied as the sample of this paper to show the feasibility of the algorithm.

Citation Download Citation

Fang Zheng and Gong Hui "Practical contour segmentation algorithm for small animal digital radiography image", Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 72800K (6 March 2009); https://doi.org/10.1117/12.819427

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KEYWORDS

Image segmentation

Radiography

Image processing algorithms and systems

Digital imaging

Sensors

X-rays

Linear filtering

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