Real-time 3D ultrasound guidance of autonomous surgical robot for shrapnel detection and breast biopsy

Albert J. Rogers; Edward D. Light; Daniel von Allmen; Stephen W. Smith

doi:10.1117/12.808234

13 March 2009 Real-time 3D ultrasound guidance of autonomous surgical robot for shrapnel detection and breast biopsy

Albert J. Rogers, Edward D. Light, Daniel von Allmen, Stephen W. Smith

Proceedings Volume 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing; 72650O (2009) https://doi.org/10.1117/12.808234
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Two studies have been conducted using real time 3D ultrasound and an automated robot system for carrying out surgical tasks. The first task is to perform a breast lesion biopsy automatically after detection by ultrasound. Combining 3D ultrasound with traditional mammography allows real time guidance of the biopsy needle. Image processing techniques analyze volumes to calculate the location of a target lesion. This position was converted into the coordinate system of a three axis robot which moved a needle probe to touch the lesion. The second task is to remove shrapnel from a tissue phantom autonomously. In some emergency situations, shrapnel detection in the body is necessary for quick treatment. Furthermore, small or uneven shrapnel geometry may hinder location by typical ultrasound imaging methods. Vibrations and small displacements can be induced in ferromagnetic shrapnel by a variable electromagnet. We used real time 3D color Doppler to locate this motion for 2 mm long needle fragments and determined the 3D position of the fragment in the scanner coordinates. The rms error of the image guided robot for 5 trials was 1.06 mm for this task which was accomplished in 76 seconds.

Citation Download Citation

Albert J. Rogers, Edward D. Light, Daniel von Allmen, and Stephen W. Smith "Real-time 3D ultrasound guidance of autonomous surgical robot for shrapnel detection and breast biopsy", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72650O (13 March 2009); https://doi.org/10.1117/12.808234

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