[Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study].
Journal:
Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date:
Jan 1, 2020
Abstract
PURPOSE: It is well known that there is a trade-off relationship between image noise and exposure dose in X-ray computed tomography (CT) examination. Therefore, CT dose level was evaluated by using the CT image noise property. Although noise power spectrum (NPS) is a common measure for evaluating CT image noise property, it is difficult to evaluate noise performance directly on clinical CT images, because NPS requires CT image samples with uniform exposure area for the evaluation. In this study, various noise levels of CT phantom images were classified for estimating dose levels of CT images using convolutional neural network (CNN).