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Sunram 5: An MR Safe Robotic System for Breast Biopsy

V. Groenhuis, Françoise J. Siepel, Marcel K. Welleweerd, Jeroen Veltman, Stefano Stramigioli

Year
2018
Citations
6

Abstract

In breast cancer screening, the radiologist may find lesions that need to be biopsied for accurate histological evaluation. The current manual biopsy procedure is inaccurate and inefficient. A robotic system is proposed that can manipulate a biopsy needle inside the scanner bore. The robot has five degrees of freedom, driven by single and dual-speed stepper motors. In combination with the versatile breast fixation system, it is able to target lesions anywhere in the breast. A safety mechanism is included that ejects the needle out of the breast in case of emergency. With these novelties incorporated, the proposed system solves important limitations of state-of-art robotic systems concerning speed/accuracy, workspace and safety.

Keywords

Computer scienceBreast biopsyArtificial intelligenceComputer visionMedicineBreast cancerMammographyInternal medicineCancer

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