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A Magnetic Resonance Image-guided Breast Needle Intervention Robot System: Overview and Design Considerations

Overview
Publisher Springer
Date 2017 Feb 8
PMID 28168682
Citations 3
Authors
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Abstract

Purpose: We developed an image-guided intervention robot system that can be operated in a magnetic resonance (MR) imaging gantry. The system incorporates a bendable needle intervention robot for breast cancer patients that overcomes the space limitations of the MR gantry.

Methods: Most breast coil designs for breast MR imaging have side openings to allow manual localization. However, for many intervention procedures, the patient must be removed from the gantry. A robotic manipulation system with integrated image guidance software was developed. Our robotic manipulator was designed to be slim, so as to fit between the patient's side and the MR gantry wall. Only non-magnetic materials were used, and an electromagnetic shield was employed for cables and circuits. The image guidance software was built using open source libraries. In situ feasibility tests were performed in a 3-T MR system. One target point in the breast phantom was chosen by the clinician for each experiment, and our robot moved the needle close to the target point.

Results: Without image-guided feedback control, the needle end could not hit the target point (distance = 5 mm) in the first experiment. Using our robotic system, the needle hits the target lesion of the breast phantom at a distance of 2.3 mm from the same target point using image-guided feedback. The second experiment was performed using other target points, and the distance between the final needle end point and the target point was 0.8 mm.

Conclusions: We successfully developed an MR-guided needle intervention robot for breast cancer patients. Further research will allow the expansion of these interventions.

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MRI Robots for Needle-Based Interventions: Systems and Technology.

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References
1.
Warrier S, Tapia G, Goltsman D, Beith J . An update in breast cancer screening and management. Womens Health (Lond). 2015; 12(2):229-39. PMC: 5375048. DOI: 10.2217/whe.15.105. View

2.
Zebic-Sinkovec M, Hertl K, Kadivec M, Cavlek M, Podobnik G, Snoj M . Outcome of MRI-guided vacuum-assisted breast biopsy - initial experience at Institute of Oncology Ljubljana, Slovenia. Radiol Oncol. 2012; 46(2):97-105. PMC: 3472934. DOI: 10.2478/v10019-012-0016-0. View

3.
Viale P . The American Cancer Society Guidelines on Screening for Breast Cancer: What's New?. J Adv Pract Oncol. 2016; 6(6):508-10. PMC: 5017543. View

4.
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2014; 136(5):E359-86. DOI: 10.1002/ijc.29210. View

5.
Yoo T, Ackerman M, Lorensen W, Schroeder W, Chalana V, Aylward S . Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit. Stud Health Technol Inform. 2004; 85:586-92. View