Abstract
Computed tomography (CT) is an important imaging modality. Though the difficulties in interpreting CT images somewhat limits its effectiveness, such disadvantages can be overcome by quantitative densitometric analysis. Nonetheless, the densitometric analysis is susceptible to the varying factors, including image acquisition parameters, types of CT machines and the age of the subjects. This preliminary study investigates the age-related difference in the density distribution derived by densitometric analysis.
Original language | English |
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Title of host publication | 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479974948 |
DOIs | |
Publication status | Published - 2015 Mar 30 |
Event | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of Duration: 2015 Jan 12 → 2015 Jan 14 |
Publication series
Name | 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
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Other
Other | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
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Country/Territory | Korea, Republic of |
City | Gangwon-Do |
Period | 15/1/12 → 15/1/14 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- computed tomography
- densitometry
- hounsfied unit
- myelination
- quantitative image analysis
ASJC Scopus subject areas
- Human-Computer Interaction
- Cognitive Neuroscience
- Sensory Systems