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Dual helical cone-beam CT for inspecting large object.

Xiaobing Zou¹, Li Zeng, Zongjian Li

¹ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400044, China.

Journal of X-Ray Science and Technology

|November 7, 2009

Summary

A new dual helical cone-beam scanning method for industrial computed tomography (ICT) enables inspection of large objects with small flat detectors. This technique expands the field of view (FOV) by at least 1.7 times.

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Area of Science:

Industrial Computed Tomography
Image Reconstruction

Background:

Inspecting large objects in industrial computed tomography (ICT) is challenging with limited flat detector sizes.
Traditional helical scanning restricts the field of view (FOV) due to detector limitations.

Purpose of the Study:

To propose a dual helical cone-beam scanning method for inspecting large objects with small flat detectors.
To develop an improved helical FDK algorithm for image reconstruction without data rebinning.

Main Methods:

A dual helical cone-beam scanning approach involving horizontal translation of the X-ray source and detector.
Utilizing an improved helical FDK algorithm for reconstructing object data from projection angles.
Simulations to validate the effectiveness of the proposed scanning mode and algorithm.

Main Results:

The proposed scanning mode and improved algorithm successfully reconstructed images comparable to conventional methods with large detectors.
The improved FDK algorithm demonstrated insensitivity to translation step variations.
The dual helical scanning method effectively extended the FOV radius by at least 1.7 times.

Conclusions:

The dual helical cone-beam scanning method offers a viable solution for inspecting large objects in ICT using smaller detectors.
The improved helical FDK algorithm provides robust image reconstruction, enhancing the utility of the proposed scanning technique.