Deep learning-based reconstruction in ultra-high-resolution computed tomography: Can image noise caused by high definition detector and the miniaturization of matrix element size be improved?

In recent years, an ultra-high-resolution computed tomography (UHRCT) scanner, which uses a smaller detector element and large reconstruction matrix than the conventional multidetector-row computed tomography (MDCT) scanner, has been developed and applied in clinical practice.[1-4] The UHRCT provides high spatial resolution by the high definition of the detector and matrix element size. Several studies have demonstrated the resulting clinical utility of the higher spatial resolution.[2,4-6] However, the higher definition of the detector and smaller matrix element size can cause an increase in photon noise, which would require a relative dose increase.

Source: Physica Medica: European Journal of Medical Physics - January 13, 2021 Category: General Medicine Authors: Atsushi Urikura, Tsukasa Yoshida, Yoshihiro Nakaya, Eiji Nishimaru, Takanori Hara, Masahiro Endo Tags: Technical note Source Type: research