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The effect of nasal shape on the thermal conditioning of inhaled air : using clinical tomographic data to build a large-scale statistical shape model
- Source :
- Computers in biology and medicine, Computers in Biology and Medicine, 117
- Publication Year :
- 2020
-
Abstract
- In this paper, we investigate the heating function of the nasal cavity qualitatively, using a high-quality, large-scale statistical shape model. This model consists of a symmetrical and an asymmetrical part and provides a new and unique way of examining changes in nasal heating function resulting from natural variations in nasal shape (as obtained from 100 clinical CT scans). Data collected from patients suffering from different nasal or sinus-related complaints are included. Parameterized models allow us to investigate the effect of continuous deviations in shape from the mean nasal cavity. This approach also enables us to avoid many of the compounded effects on flow and heat exchange, which one would encounter when comparing different patient-specific models. The effects of global size, size-related features, and turbinate size are investigated using the symmetrical shape model. The asymmetrical model is used to investigate different types of septal deviation using Mladina's classification. The qualitative results are discussed and compared with findings from the existing literature.
- Subjects :
- 0301 basic medicine
Nasal cavity
Scale (ratio)
Computer science
(a)symmetry
Health Informatics
Inhaled air
Nose
Turbinates
03 medical and health sciences
Cylindrical parameterization
0302 clinical medicine
medicine
Humans
Computer Simulation
Thermal conditioning
Biology
Nasal Septum
Computer. Automation
Computational fluid mechanics
Models, Statistical
Physics
SEPTAL DEVIATION
Statistical shape model
Mechanics
Computer Science Applications
030104 developmental biology
medicine.anatomical_structure
Human medicine
Nasal Cavity
Tomography, X-Ray Computed
030217 neurology & neurosurgery
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 00104825
- Database :
- OpenAIRE
- Journal :
- Computers in biology and medicine
- Accession number :
- edsair.doi.dedup.....59fbd273e7cd2ebbd7476e5cb1e870f7