A modified interval subdividing based geometric calibration method for interior tomography

doi:10.1088/1674-1056/23/9/098704

›› 2014, Vol. 23 ›› Issue (9): 98704-098704.doi: 10.1088/1674-1056/23/9/098704

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

A modified interval subdividing based geometric calibration method for interior tomography

张峰, 闫镔, 李磊, 席晓琦, 江桦

National Digital Switching System Engineering & Technology Research Center, Zhengzhou 450002, China

收稿日期:2013-10-20 修回日期:2013-12-23 出版日期:2014-09-15 发布日期:2014-09-15
基金资助:
Project supported by the National Basic Research Program of China (Grant No. 2011CB707701), the National High Technology Research and Development Program of China (Grant No. 2012AA011603), and the National Natural Science Foundation of China (Grant Nos. 30970772 and 61372172).

A modified interval subdividing based geometric calibration method for interior tomography

Zhang Feng (张峰), Yan Bin (闫镔), Li Lei (李磊), Xi Xiao-Qi (席晓琦), Jiang Hua (江桦)

National Digital Switching System Engineering & Technology Research Center, Zhengzhou 450002, China

Received:2013-10-20 Revised:2013-12-23 Online:2014-09-15 Published:2014-09-15
Contact: Yan Bin E-mail:wangny@bnu.edu.cn
Supported by:
Project supported by the National Basic Research Program of China (Grant No. 2011CB707701), the National High Technology Research and Development Program of China (Grant No. 2012AA011603), and the National Natural Science Foundation of China (Grant Nos. 30970772 and 61372172).

摘要/Abstract

摘要： The interior tomography is commonly met in practice, whereas the self-calibration method for geometric parameters remains far from explored. To determine the geometry of interior tomography, a modified interval subdividing based method, which was originally developed by Tan et al.,^[11] was presented in this paper. For the self-calibration method, it is necessary to obtain the reconstructed image with only geometric artifacts. Therefore, truncation artifacts reduction is a key problem for the self-calibration method of an interior tomography. In the method, an interior reconstruction algorithm instead of the Feldkamp-Davis-Kress (FDK) algorithm was employed for truncation artifact reduction. Moreover, the concept of a minimum interval was defined as the stop criterion of subdividing to ensure the geometric parameters are determined nicely. The results of numerical simulation demonstrated that our method could provide a solution to the self-calibration for interior tomography while the original interval subdividing based method could not. Furthermore, real data experiment results showed that our method could significantly suppress geometric artifacts and obtain high quality images for interior tomography with less imaging cost and faster speed compared with the traditional geometric calibration method with a dedicated calibration phantom.

关键词: interior tomography, geometric calibration, interval subdividing, minimum interval

Abstract: The interior tomography is commonly met in practice, whereas the self-calibration method for geometric parameters remains far from explored. To determine the geometry of interior tomography, a modified interval subdividing based method, which was originally developed by Tan et al.,^[11] was presented in this paper. For the self-calibration method, it is necessary to obtain the reconstructed image with only geometric artifacts. Therefore, truncation artifacts reduction is a key problem for the self-calibration method of an interior tomography. In the method, an interior reconstruction algorithm instead of the Feldkamp-Davis-Kress (FDK) algorithm was employed for truncation artifact reduction. Moreover, the concept of a minimum interval was defined as the stop criterion of subdividing to ensure the geometric parameters are determined nicely. The results of numerical simulation demonstrated that our method could provide a solution to the self-calibration for interior tomography while the original interval subdividing based method could not. Furthermore, real data experiment results showed that our method could significantly suppress geometric artifacts and obtain high quality images for interior tomography with less imaging cost and faster speed compared with the traditional geometric calibration method with a dedicated calibration phantom.

Key words: interior tomography, geometric calibration, interval subdividing, minimum interval

中图分类号: (X-ray imaging)

87.59.-e

87.59.bd (Computed radiography)

张峰, 闫镔, 李磊, 席晓琦, 江桦. A modified interval subdividing based geometric calibration method for interior tomography[J]. , 2014, 23(9): 98704-098704.

Zhang Feng (张峰), Yan Bin (闫镔), Li Lei (李磊), Xi Xiao-Qi (席晓琦), Jiang Hua (江桦). A modified interval subdividing based geometric calibration method for interior tomography[J]. Chin. Phys. B, 2014, 23(9): 98704-098704.

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A modified interval subdividing based geometric calibration method for interior tomography

A modified interval subdividing based geometric calibration method for interior tomography

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