Senior Design Project Megan Luh (BME) Hao Luo (EE) November 12, 2009

Purpose - Proof of Concept that visual recognition software can be applied to the field of limb alignment in real-time for surgical procedures - Improve the method of limb alignment used during surgical procedures - Create a new method that is more efficient, can be used in real-time, more economically profitable for hospitals.

Background and importance  Current method is costly and time consuming  Dependent on surgeon setup and calibration for accuracy

Methods  Observe the actual surgical process of knee alignment  Develop a step-by-step method and apply it to a visual recognition system  Test and modify the program  Continue development to add additional features such as auto alignment

Status  Currently waiting to be scheduled to observe the knee alignment surgery  Doing research on different software and computer vision systems

Choosing a Computer Vision System Criteria:  Complexity  Cost  Expandability  Efficiency  Well-Documented Choices:  Matlab  LabVIEW  Java  C++ using OpenCV

Result OpenCV  Useful functions concerning vision system  Highly Versatile library  Expandable using C++  Free

Future Work  Hope to move into programming stage after this week  Working at the very first step: recognition of different shapes  Measure of success: Identifying objects with the camera

Conclusion  The goal of this project is to accomplish a proof of concept that visual recognition software can be applied to the field of orthopedic limb alignment in real-time surgical procedure.  We plan to accomplish this by using software and cameras to detect markers on a knee replacement tibial head.  we hope to continue expanding the program to incorporate depth perception and to calculate alignment.