A model retrieval system for efficient bolus shaping

Bolus covers patient’s skins to correct varying surface contours for desired dose distribution in cancer care. The existing method of bolus shaping is a manual process by cutting the bolus material into 2D pieces and wrapping the pieces on the targeted body area, which is inaccuracy and time-consuming. An accurate and efficient bolus shaping method is proposed to increase the bolus shaping accuracy and reduce air gaps by applying a 3D-2D-3D process. In order to improve the efficiency, a model retrieval system will be developed based on feature extracting and image-based matching methods. The system consists of a human body model base and a user interface to accurately and efficiently form bolus for patients in cancer care treatment.

Intern: 
Rui Li
Faculty Supervisor: 
Qingjin Peng
Province: 
Manitoba
Partner: 
Partner University: