Paper Info
Title
Evaluating Azure Kinect and Structure Mark-II 3D Surface Scanners for Clinical Chest Wall Deformity Assessment
Abstract
A non-invasive and objective method of capturing upper body surface anatomy, such as 3D optical scanning, would be advantageous for evaluating chest wall deformity. By potentially eliminating the need for computed tomography scanning and superseding manual measurements subject to errors, a system that utilizes optical scanning presents great value to patients and practitioners. This work aimed to ...
Year
DOI
Venue
2021
10.23919/ANNSIM52504.2021.9552061
2021 Annual Modeling and Simulation Conference (ANNSIM)
Keywords
DocType
ISBN
Chest deformities,3D scanning,Azure Kinect,StructureIO,Surface Deviations
Conference
978-1-56555-375-0
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Nahom Kidane121.83
Yuzhong Shen218421.96
Robert E. Kelly302.03