title: Classification of hiatal hernias using dynamic three-dimensional reconstruction.
abstract: Hiatal hernias and paraesophageal hernias are common clinical entities and have a well-known classification system. Multiple modalities have been used to illustrate these hernias, most relying on artists' renderings or two-dimensional radiographic studies. However, surgeons would benefit from a comprehensive graphic representation of hiatal hernias based on current imaging technologies. We have applied polygonal mesh surface modeling techniques to render dynamic three-dimensional computed tomography-based models of the four recognized types of hiatal hernias. The resulting images allow nearly real-time navigation in an intuitive and clinically relevant fashion. This model should clarify and eventually advance the existing classification by applying modern and sophisticated image processing to established concepts.
authors.affiliation: University of Maryland Baltimore, Baltimore, MD 21201, USA.
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Kavic
authors.forename: Ross D
authors.initials: RD
authors.lastname: Segan
authors.forename: Ivan M
authors.initials: IM
authors.lastname: George
authors.forename: Patricia L
authors.initials: PL
authors.lastname: Turner
authors.forename: J Scott
authors.initials: JS
authors.lastname: Roth
authors.forename: Adrian
authors.initials: A
authors.lastname: Park
mesh_terms: D006551:Hernia, Hiatal / Q000145:classification* / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D014057:Tomography, X-Ray Computed