Katsevich-type reconstruction for dual helical cone-beam CT

Area of Science:

• Industrial imaging
• Computed tomography
• Image reconstruction

Background:

• Conventional cone-beam helical industrial CT has limited field of view due to planar detector width.
• Imaging large objects requires overcoming field-of-view limitations in standard CT setups.

Purpose of the Study:

• To develop and evaluate a dual-helical scanning method for inspecting large and long objects using cone-beam CT.
• To assess the performance of the Katsevich-type reconstruction algorithm in this dual-helical setup.

Main Methods:

• Implemented a dual-helical scanning strategy for cone-beam CT.
• Applied the Katsevich-type reconstruction algorithm, which processes projection data without rebinning.
• Utilized Hilbert transform on truncated projections within the reconstruction algorithm.

Main Results:

• The dual-helical scanning approach effectively addresses the field-of-view limitations of conventional methods.
• The Katsevich-type algorithm demonstrated superior reconstruction results compared to the extended FDK algorithm.
• Performance improvements were particularly notable for scans employing a large helical pitch.

Conclusions:

• Dual-helical cone-beam CT with the Katsevich-type algorithm is a viable method for inspecting large objects.
• This technique offers enhanced image quality and overcomes limitations of traditional CT scanning for large-scale industrial inspection.