What is it about?
Skull radiography, an assessment method for initial diagnosis and post-operative follow-up, requires substantial retaking of various types of radiographs. In this study, we propose a method that estimates patient's angle from radiographs.
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Why is it important?
During retaking, a radiologic technologist estimates a patient's rotation angle from the radiograph by comprehending the relationship between the radiograph and the patient's angle for adequate assessment, which requires extensive experience.
Perspectives
These findings suggest that a patient's angle can be accurately estimated from a radiograph using deep learning leading to reduce retaking time, and then used to facilitate skull radiography.
Kazuma Nakazeko
Juntendo Daigaku
Read the Original
This page is a summary of: Estimation of patient’s angle from skull radiographs using deep learning, Journal of X-Ray Science and Technology, September 2022, IOS Press,
DOI: 10.3233/xst-221200.
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