11:20 AM - 11:40 AM
[4M1-GS-10-05] A Study on the Estimation Method of Peak Time of Test Contrast in CT Angiography Using Static Body Information
Keywords:Contrast Effect, Machine Learning, Computed Tomography, Angiography
Computed tomography (CT) examinations measure the amount of X-rays transmitted through an object to obtain a cross-sectional image of it, and are generally divided into simple examinations that do not use contrast agent and contrast examinations that use contrast agent. In contrast examinations, the timing of imaging is an important factor in obtaining sufficient contrast effect and is determined by performing a test scan. In this study, we constructed a prediction model and evaluated its performance with the aim of reducing patient exposure dose by omitting the test scan and predicting the peak contrast arrival time using the patient's physical information. The mean absolute error (MAE) for the data used to validate the prediction model was 1.281. In addition, the relationship between the features that contributed significantly to the prediction and the peak arrival time was consistent with the results of previous studies.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.