Publications

Conference Papers


Robotic tracking of a resection cavity using a low cost bench-top robotic arm and electromagnetics

Published in (SPIE Medical Imaing Conference 2025), 2024

INTRODUCTION: Roughly 40% of breast cancer patients are required to undergo corrective surgery after tumour resection via breast-conserving surgery (BCS). Sweeping of the cavity, resulting from the tumour resec- tion, by spectroscopy and ultrasound imaging is emerging as a potential solution for identifying leftover cancer. However, the use of imaging modalities in the cavity is challenging as breast tissue is soft, malleable, and moves frequently. This paper presents and verifies an approach for tracking the relative motion of a resection cavity with a robotic arm. METHODS: We use electromagnetic tracking and a low cost 6-axis robotic arm to track a simulated resection cavity. We embed an electromagnetic sensor in a 3D printed retractor that is designed to hold the cavity open. An open-source module in 3D Slicer is then used to detect cavity motion from the retractor and command the robotic arm to follow the relative movement while incorporating motion planning to prevent collisions and unsafe actions. To assess this approach we move the retractor to 36 positions in the robotic arm workspace and measure the latency between when a command is published to the robotic arm and when it begins to move to this position. In addition, we attach a camera to the end-effector (EE) of the robotic arm to determine when the robotic arm has successfully tracked the cavity by checking if it is visible in the center of the camera frame. RESULTS: The latency was recorded to be 832.1 milliseconds on average with 132.6 standard deviation. We can also successfully track the motion of the cavity in almost every test position. CONCLUSIONS: These results suggest that tracking of the breast cavity using EM tracking and robotics is feasible. Future work focusing on the integration with spectroscopy and cavity servoing.

An Accessible 6-axis testbed for image-guided robotics research

Published in (SPIE Medical Imaing Conference 2025), 2024

PURPOSE: Cancer can recur after tumor resection surgery if tumor tissue is missed and left behind. We hypothesize that intraoperative robotic imaging could be used to inspect the surgical cavity and localize residual cancer tissue. This technique has the potential to improve the success rate of tumor resection surgery. In this work, we propose and evaluate a benchtop testbed for robotic manipulation of an optical imaging probe. We use low-cost hardware and open-source software to construct the testbed and describe the implementation so that it can be easily adapted to other research areas. METHODS: We implemented a reusable, open-source module in 3D Slicer for reading position coordinates and motion planning with an inexpensive 6-axis robotic arm in Robot Operating System (ROS). For demonstration, a custom end-effector was used to fix an optical probe to the robot. To evaluate the accuracy of the testbed, a phantom with 16 target points was scanned using the robotic scanner. We then measured the positioning accuracy of the robot. RESULTS: The system had an average positional accuracy of 3.59 1.4 mm and the system successfully navigated to the majority of target points. CONCLUSIONS: Our open-source benchtop system achieves positional accuracy that would make it a valuable testbed for developing image-guided tumor inspection systems. Future work will explore the application of this test bed within breast conserving surgery.