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

<strong>INTRODUCTION:</strong> 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 resection, 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. <strong>METHODS: </strong>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. <strong>RESULTS: </strong>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. <strong>CONCLUSIONS: </strong>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.

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Published
2025-04-07
DOI
https://doi.org/10.1117/12.3047143
Primary Topic
Soft Robotics and Applications
Type
article
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article

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

Laura Connolly, Gábor Fichtinger, Kian Hashtrudi-Zaad, Colton Barr et al.
1 links
Soft Robotics and Applications
article

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

Laura Connolly, Gábor Fichtinger, Kian Hashtrudi-Zaad, Colton Barr, Coleman Farvolden
article en

Abstract

<strong>INTRODUCTION:</strong> 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 resection, 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. <strong>METHODS: </strong>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. <strong>RESULTS: </strong>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. <strong>CONCLUSIONS: </strong>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.

University of Toronto (CA), Queen's University (CA)
Openalex Percentile: Top 93%
Soft Robotics and Applications
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