Automated separation of bone joint structures for medical image reconstruction

Automated separation of reconstructed bone joints from 3D medical images is a challenging task due to surrounding soft tissue and adjacent bones that can affect the clarity of bone boundaries. Existing approaches typically require human intervention to correct improper results of segmentation before the joint model is reconstructed. This dissertation presents a new methodology for separating bone joint models using a completely automated approach. Rather than trying to offer a solution for segmenting medical images, the proposed method first allows errors in the reconstructed model and later removes these errors without the help of a medical expert or technician. This method utilizes known anatomical information from a generic CAD model, which is a properly generated model of the anatomy of a similar human subject, with regard to age, gender, height, etc. The intent is to aid in the separation of bones in the joint areas by comparing the reconstructed model that might contain errors to the generic model which has individual bones separated properly. The human hip joint is employed as an example of algorithm implementation in this dissertation. The proposed method is a general approach that should be adequately flexible to extend to other type of joints such as knee and elbow

A real time 3D surface measurement system using projected line patterns.

This thesis is based on a research project to evaluate a quality control system for car component stamping lines. The quality control system measures the abrasion of the stamping tools by measuring the surface of the products. A 3D vision system is developed for the real time online measurement of the product surface. In this thesis, there are three main research themes. First is to produce an industrial application. All the components of this vision system are selected from industrial products and user application software is developed. A rich human machine interface for interaction with the vision system is developed along with a link between the vision system and a control unit which is established for interaction with a production line. The second research theme is to enhance the robustness of the 3D measurement. As an industrial product, this system will be deployed in different factories. It should be robust against environmental uncertainties. For this purpose, a high signal to noise ratio is required with the light pattern being produced by a laser projector. Additionally, multiple height calculation methods and a spatial Kalman filter are proposed for optimal height estimation. The final research theme is to achieve real time 3D measurement. The vision system is expected to be installed on production lines for online quality inspection. A new 3D measurement method is developed. It combines the spatial binary coded method with phase shift methods with a single image needs to be captured.SHRIS (Shanghai Ro-Intelligent System,co.,Ltd.