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Volumetric computed tomography with carbon nanotube X-ray source array for improved image quality and accuracy

Authors :
Shuang Xu
Yuanming Hu
Boyuan Li
Christina R. Inscoe
Donald A. Tyndall
Yueh Z. Lee
Jianping Lu
Otto Zhou
Source :
Communications Engineering, Vol 2, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract Cone beam computed tomography (CBCT) is widely used in medical and dental imaging. Compared to a multidetector CT, it provides volumetric images with high isotropic resolution at a reduced radiation dose, cost and footprint without the need for patient translation. The current CBCT has several intrinsic limitations including reduced soft tissue contrast, inaccurate quantification of X-ray attenuation, image distortions and artefacts, which have limited its clinical applications primarily to imaging hard tissues and made quantitative analysis challenging. Here we report a multisource CBCT (ms-CBCT) which overcomes the shortcomings of the conventional CBCT by using multiple narrowly collimated and rapidly scanning X-ray beams from a carbon nanotube field emission source array. Phantom imaging studies show that, the ms-CBCT increases the accuracy of the Hounsfield unit values by 60%, eliminates the cone beam artefacts, extends the axial coverage, and improves the soft tissue contrast-to-noise ratio by 30–50%, compared to the CBCT configuration.

Details

Language :
English
ISSN :
27313395
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.035de7fdc9054bd68f384d634699c6b7
Document Type :
article
Full Text :
https://doi.org/10.1038/s44172-023-00123-x