Automated identification of anatomical anomalies in the hyoid region of cleft lip and palate patients
| Autor: | Jenna Maligro, Carson Wong, Scott Lozanoff, Ayman R. Khalifa, Ahmed Z. Abdelkarim, Nicholas Lozanoff, Michael L. Farrell, James L Farrell |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
3d printed
Cone beam computed tomography 020205 medical informatics Procrustes analysis 02 engineering and technology Shape states 03 medical and health sciences stomatognathic system Cleft lip and palate 0202 electrical engineering electronic engineering information engineering Medicine Thin plate spline Procrustes transformation Orthodontics 0303 health sciences business.industry QM1-695 Third cervical vertebra Control subjects Large sample 030301 anatomy & morphology Hyoid bone Human anatomy Anatomy business Hyoid apparatus |
| Zdroj: | Translational Research in Anatomy, Vol 23, Iss, Pp 100103-(2021) |
| Popis: | Introduction: Systematic identification of anatomical variants and anomalies in large patient populations remains problematic. The purpose of this study is to determine whether anatomical anomalies of the hyoid region can be quantitatively characterized, and corresponding subjects can be identified within a large cohort of cleft lip and palate (CLP) patients Methods: Software was developed (er3d.com) comprising Procrustes transformation (PT) followed by shape state extraction and thin plate spline description. Validation was achieved by simulating specific affine and non-affine geometric changes utilizing a set of 3D printed geometries and assessing expected outcomes. Subsequently, scans derived from cone beam computed tomography (CBCT) of three primary groups were analyzed including control subjects, unilateral CLP, and bilateral CLP patients with each affected group divided into either growing ( |
| Databáze: | OpenAIRE |
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