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.

Faculty Supervisor:

Qingjin Peng

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: