Marianne E. Cites, C. Dumm, Anna C. Hiers, G. Klinzing, Carey D. Balaban, J. Vipperman
{"title":"Simplified Geometries for Intracranial Acoustic Modeling","authors":"Marianne E. Cites, C. Dumm, Anna C. Hiers, G. Klinzing, Carey D. Balaban, J. Vipperman","doi":"10.1115/imece2022-96161","DOIUrl":null,"url":null,"abstract":"\n The geometric complexity of the contents of the head confounds mechanical analysis of intracranial structures. Conventional models for computational analysis are typically created through a laborious segmentation and reconstruction process highly dependent on expert labor and anatomical insight. This study explores a deterministic process for construction of a simplified, anatomically-relevant head model appropriate for acoustical modeling. Various key anatomical features with acoustical significance are reviewed. Models of increasing complexity are generated, spanning a range from coupled concentric spheres to more advanced geometries incorporating ventricles, brain structures, and other anatomical landmarks. Geometric relevance of the models is assessed by comparison to a high-fidelity computational geometry derived from medical imagery. These techniques and models are useful for a variety of studies investigating phenomena such as traumatic brain injury mechanics and industrial safety.","PeriodicalId":23648,"journal":{"name":"Volume 1: Acoustics, Vibration, and Phononics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Acoustics, Vibration, and Phononics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece2022-96161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The geometric complexity of the contents of the head confounds mechanical analysis of intracranial structures. Conventional models for computational analysis are typically created through a laborious segmentation and reconstruction process highly dependent on expert labor and anatomical insight. This study explores a deterministic process for construction of a simplified, anatomically-relevant head model appropriate for acoustical modeling. Various key anatomical features with acoustical significance are reviewed. Models of increasing complexity are generated, spanning a range from coupled concentric spheres to more advanced geometries incorporating ventricles, brain structures, and other anatomical landmarks. Geometric relevance of the models is assessed by comparison to a high-fidelity computational geometry derived from medical imagery. These techniques and models are useful for a variety of studies investigating phenomena such as traumatic brain injury mechanics and industrial safety.