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The excellent imaging capabilities of MRI technology are standardizing this modality for a variety of interventional procedures. To assist radiologists, MRI compatible robots relying on traditional actuation technologies are being developed. Recently, a robot that is not only MRI compatible but also MRI powered was introduced. This surgical robot is imaged and actuated through interleaved MRI pulses, and can be controlled to perform automated needle insertion. Using the electromagnetic field generated by the MRI scanner, the robot can exercise adequate forces to puncture tissue. Towards the goal of automation, this paper reports results on tracking and control of an MRI-powered robot tagged with a fiducial marker. Tracking is achieved using non-selective RF pulses and balanced gradient readouts. To suppress the signal received from the tissue, spoiler gradients and background suppression are introduced. Their effects on tracking are quantified and are used to optimize the algorithm. Subsequently, a Kalman filter is employed for robustness. The developed algorithm is used to demonstrate position controlled needle insertion ex vivo.

Three-dimensional ultrasound has been an effective imaging modality for diagnostics and is now an emerging modality for image-guided minimally-invasive interventions since it enables visualization of both instruments and tissue. Challenges to ultrasound-guided interventions arise, however, due to the low signal-to-noise ratio and the imaging artifacts created by the interventional instruments. Metallic instruments, in particular, are strong scatters and so produce a variety of artifacts. For many interventions, the manual or robotic instrument is comprised of a long curved tubular structure with specialized tooling at its tip. Toward the goal of developing a surgical navigation system, this paper proposes an image processing algorithm for enhancing the tubular structure of imaged instruments while also reducing imaging artifacts. Experiments are presented to evaluate the effectiveness of the approach in the context of robotic instruments whose shape comprises a smooth curve along their length.

Replacing open-heart surgical procedures with beating-heart interventions substantially decreases the trauma and risk of a procedure. One of the most challenging procedures to perform on the beating heart is valve repair. To address this need, this paper proposes a tool for replacing mitral valve chordae to correct regurgitation. The chordae is secured to the papillary muscle and leaflet using NiTi tissue anchors that also incorporate an internal adjustment mechanism to enable initial adjustment as well as subsequent readjustment of chordae length. Efficacy of the proposed tool for chordae replacement and reduction of regurgitation was demonstrated in an ex-vivo heart simulator.