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 quantify the accuracy of two current generation 3D surface scanners, Azure Kinect & StructureIO Mark-II, in assessing the severity of chest wall deformities. 3D surface deviation analysis was conducted on the models created by each scanner, and the findings are reported.