High quality statistical shape modelling of the human nasal cavity and applications.

ABSTRACT: The human nose is a complex organ that shows large morphological variations and has many important functions. However, the relation between shape and function is not yet fully understood. In this work, we present a high quality statistical shape model of the human nose based on clinical CT data of 46 patients. A technique based on cylindrical parametrization was used to create a correspondence between the nasal shapes of the population. Applying principal component analysis on these corresponded nasal cavities resulted in an average nasal geometry and geometrical variations, known as principal components, present in the population with a high precision. The analysis led to 46 principal components, which account for 95% of the total geometrical variation captured. These variations are first

SUBMITTER: Keustermans W 

PROVIDER: S-EPMC6304114 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature