Composite growth model applied to human oral and pharyngeal structures and identifying the contribution of growth
Yuan Wang1, Moo K Chung2, Houri K Vorperian3
1Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA Vocal Tract Development Laboratory, Waisman Center, University of Wisconsin, Madison, WI, USA.
Abstract:
The growth patterns of different anatomic structures in the human body vary in terms of growth amount over time, growth rate and growth periods. The oral and pharyngeal structures, also known as vocal tract structures, are housed in the craniofacial complex where the cranium/brain follows a distinct neural growth pattern, and the face follows a distinct somatic or skeletal growth pattern. Thus, it is reasonable to expect the oral and pharyngeal structures to follow a combined or mixed growth pattern. Existing parametric growth models are limited in that they are mainly focused on modeling one particular type of growth pattern. In this paper, we propose a novel composite growth model using neural and somatic baseline curves to fit the combined growth pattern of select vocal tract structures. The method can also determine the overall percent contribution of each of the growth types.
More Related Videos
07:16Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
Published on: October 20, 2023
10:23Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
Published on: September 8, 2023
Related Concept Videos
Growth of Cartilage and Bone Tissue
Growth Models with Integration: Problem Solving
Exponential Equations for Modeling Growth
Modeling with Differential Equations
Teeth
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
