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Updated: Aug 23, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

A novel multi-view X-ray digital imaging stitching algorithm.

Yang Kang¹, Rui Wu¹, Sen Wu¹

¹State Key Laboratory of Solidification Processing, and MIIT Key Laboratory of Radiation Detection Materials and Devices, Northwestern Polytechnical University, Xi'an, China.

Journal of X-Ray Science and Technology

|November 7, 2022

Summary

This summary is machine-generated.

A new multi-view X-ray digital imaging stitching algorithm (MVS) significantly improves stitching accuracy to 94.4% for fan beam X-ray imaging. This novel method effectively eliminates image distortion, enhancing overall image quality in panoramic reconstructions.

Keywords:

CdZnTe detector X-ray photon counting stitching algorithm

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Area of Science:

Medical Imaging
Digital Image Processing
X-ray Technology

Background:

Fan beam X-ray imaging often requires stitching multiple images due to detector size limitations.
Stitching artifacts, particularly deformation, are a challenge in creating panoramic X-ray images.

Purpose of the Study:

To introduce a novel multi-view X-ray digital imaging stitching algorithm (MVS).
To address and resolve stitching deformation issues in fan beam X-ray imaging.
To leverage CdZnTe photon counting linear array detectors for improved stitching.

Main Methods:

The MVS algorithm involves four key steps: multi-view projection data acquisition, overlapping positioning, weighted fusion, and projected pixel value calculation.
The algorithm was tested using fan beam X-ray scans of a globe and a foot, acquired with a CdZnTe detector.
Comparative analysis was performed against three other stitching methods.

Main Results:

The MVS algorithm achieved a stitching accuracy of 94.4%, a substantial improvement over the 50% accuracy of comparative methods.
The algorithm successfully eliminated image distortion in the stitched images of the globe and foot.
Significant improvements in overall image quality were observed.

Conclusions:

A new multi-view X-ray digital imaging stitching algorithm (MVS) has been successfully developed.
The MVS algorithm demonstrates superior performance and accuracy in X-ray image stitching.
The study confirms the algorithm's feasibility and effectiveness for practical applications in medical imaging.