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Effective method for automatic contour extraction in computerized tomography reconstruction

[+] Author Affiliations
Zheng Fang

Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China

Qingming Luo

Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China

Qian Liu

Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China

Kun Bi

Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China

Xiaomin Sun

Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China

J. Electron. Imaging. 17(1), 013016 (February 29, 2008). doi:10.1117/1.2885248
History: Received April 10, 2007; Revised August 31, 2007; Accepted September 17, 2007; Published February 29, 2008
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A new method is presented for automatic contour extraction in computerized tomography (CT) reconstruction, based on projection segmentation and backprojection. Contour extraction is of great importance in medical applications, especially in nondestructive inspection. Manual segmentation includes pixel selection, geometrical boundary selection, and tracing, however, it depends on the experience of the operators and is time-consuming. Most fully automatic segmentation methods for CT images are usually impractical due to the obvious noise in reconstructed slices. Because the backprojection algorithm is of a high-pass nature, the noise is always in high frequencies. The projections, however, are much clearer than the reconstructed slices. The advantage of the new algorithm is its simplicity in segmenting the projections instead of the slices. Simulation results illustrate the accuracy of this method. A circular trajectory cone-beam micro-CT system is used to validate the algorithm. The experiment result shows a perfect 3-D contour of a rat skull.

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© 2008 SPIE and IS&T

Citation

Zheng Fang ; Qingming Luo ; Qian Liu ; Kun Bi and Xiaomin Sun
"Effective method for automatic contour extraction in computerized tomography reconstruction", J. Electron. Imaging. 17(1), 013016 (February 29, 2008). ; http://dx.doi.org/10.1117/1.2885248


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