Communications Engineering (Oct 2023)

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

  • Shuang Xu,
  • Yuanming Hu,
  • Boyuan Li,
  • Christina R. Inscoe,
  • Donald A. Tyndall,
  • Yueh Z. Lee,
  • Jianping Lu,
  • Otto Zhou

DOI
https://doi.org/10.1038/s44172-023-00123-x
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 9

Abstract

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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.