Investigation of a Validation Technique for the Registration of 3D Points Directly to Subjects with Pectus Excavatum
Date of Award
Spring 2008
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
Frederic D. McKenzie
Committee Member
Yuzhong Shen
Committee Member
Jiang Li
Call Number for Print
Special Collections LD4331.E53 C86 2008
Abstract
Pectus excavatum (PE) is a congenital deformity that results in a "caved in" appearance of the chest wall. The cause of this condition is unknown, but research suggests that an in vivo investigation of the biomechanical properties of the costal cartilages of subjects with PE may offer insight. Force and deflection measurements are proposed as a way to obtain this data; however, accurate location of cartilage from the skin level would be required for such an effort. Given the multiple potential sources of error with this process, a validation procedure to ensure the appropriateness of the findings must be developed; this is the focus of this research. Subjects with uncorrected PE paiticipated in this research. Both computed tomography (CT) scans and 3D laser surface scans of a subject's chest area were used to develop the validation technique, which utilizes the iterative closest point (ICP) algorithm for registration. As a result, robust recommendations with respect to surface scan sweeps registration, mesh-to-point cloud sampling distance, surface scan acquisition, creation of the rib cage model from CT data, and an approach to rough model alignment prior to registration have been made. Future steps following this research include the investigation of accurate point identification on and data collection from a subject with PE.
Rights
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DOI
10.25777/573z-e782
Recommended Citation
Cuper, Taryn T..
"Investigation of a Validation Technique for the Registration of 3D Points Directly to Subjects with Pectus Excavatum"
(2008). Master of Science (MS), Thesis, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/573z-e782
https://digitalcommons.odu.edu/msve_etds/81