Aging and the Brain: A Quantitative Study of Clinical CT Images.
Keith A CauleyYirui HuSamuel W FieldenPublished in: AJNR. American journal of neuroradiology (2020)
An automated segmentation algorithm has been developed and applied to clinical head CT images to initiate the development of a reference database for quantitative brain CT imaging. Such a database can be subject to quantile regression analysis to stratify patient brain CT scans by metrics such as brain parenchymal fraction, radiodensity, and radiomass, to aid in the identification of statistical outliers and lend quantitative assessment to image interpretation.
Keyphrases
- deep learning
- dual energy
- computed tomography
- image quality
- contrast enhanced
- resting state
- white matter
- high resolution
- convolutional neural network
- positron emission tomography
- magnetic resonance imaging
- functional connectivity
- cerebral ischemia
- machine learning
- emergency department
- optical coherence tomography
- magnetic resonance
- adverse drug
- mass spectrometry
- brain injury