Article ID: 21031
OBJECTIVES: The low-dose exposure method is used for patient dose in CT colonography studies.
This study was a comparative evaluation of both hybrid iterative reconstruction (Hybrid IR) and deep learning reconstruction (DLR)to reduce the exposure dose and construct the optimal image quality.
SUBJECTS AND METHODS: The exposure doses of SD8, SD30, and SD40 were measured using a CT colonography phantom.
The data measured diameters of 5 mm, 7 mm, and 10 mm phantom polyps and validated the modulation transfer function (MTF), noise power spectrum (NPS), and low-contrast object-specific contrast-to-noise ratio (CNRLo) using Hybrid IR and DLR.
The visibility of virtual endoscopy (VE) was examined.
RESULTS: Computed tomography dose index (CTDI) values were 12mGy for SD8, 0.6mGy for SD30, and 0.3mGy for SD40.
There was no significant difference in the relationship between the visual assessment of the phantom polyp measurements, dose, and image reconstruction.
DLR was more effective than Hybrid IR in the overall physical assessment of MTF, NPS, and CNRLo.
VE image visibility was better with DLR than Hybrid IR.
CONCLUSION: It was suggested that it is possible to accurately measure polyps while maintaining image quality by reducing the exposure dose with SD40 for low-dose imaging and reconstruction with DLR.
