The First Affiliated Hospital of the University of Science and Technology of China has made important progress in the field of CT imaging research

China News Service, Hefei, October 31 (Zhang Xiang, Huang Xin, Zhang Qiang) The reporter learned from the First Affiliated Hospital of the Chinese University of Science and Technology (Anhui Provincial Hospital) on the 31st that the team of Professor Yang Yidong from the Medical Physics Laboratory of the hospital has been working on cone-beam CT and energy.
Significant progress in spectral CT imaging research: A stable, reliable, accurate and fast cone-beam CT image reconstruction algorithm is proposed, which solves the problem of cone-beam CT image artifacts, the accuracy of radiation dose calculation for radiotherapy, and tumor lesions and soft tissue organs The recognizability of both has been greatly improved
.

At the same time, a mathematical algorithm for vectorization and decomposition of dual-energy image information in the image domain is proposed for the first time, which accurately distinguishes the different tissue components in the energy spectrum CT image, and greatly improves the image quality
.

The above results have been published in the top journal Medical Physics in the field of international medical physics
.

The full name of CT imaging is "x-ray computed tomography", which is widely used in disease diagnosis and image-guided treatment
.

Different from the fan-beam scanning structure commonly used in traditional diagnostic CT, cone-beam CT uses a large-area cone X-ray beam to scan, and a three-dimensional structure map of the patient's part that needs to be scanned can be obtained by scanning one circle
.

According to Yang Yidong, the single-rotation imaging of cone-beam CT has a large volume, severe photon scattering and image artifacts, which greatly restricts the imaging quality
.

After the corrected image, the CT pixel value error is reduced by 90% (from greater than 150HU to less than 15HU), the uniformity and contrast of the image are significantly improved, the accuracy of radiotherapy radiation dose calculation and the identification of tumor lesions and soft tissue organs The degrees have been greatly improved
.