학술논문

A Study on the Estimation Method of Peak Time of Test Contrast in CT Angiography Using Static Body Information / CT血管造影検査におけるテスト造影ピーク時間の静的身体情報を用いた推定手法の検討
Document Type
Journal Article
Source
Proceedings of the Annual Conference of JSAI. 2022, :4
Subject
Angiography
CT検査
Computed Tomography
Contrast Effect
Machine Learning
機械学習
血管造影検査
造影効果
Language
Japanese
Abstract
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.

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