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Collaborating Authors

 Leonard, Simon


Minimally Invasive Flexible Needle Manipulation Based on Finite Element Simulation and Cross Entropy Method

arXiv.org Artificial Intelligence

Since the needle will be discretized into discrete elements, the Percutaneous needle interventions capture a broad class of complete state of the needle, and the simulation environment minimally invasive diagnosis and treatment procedures, such in general, could involve hundreds of variables, and planning as biopsy [1]-[3], brachytherapy [4], [5], and spinal injection for a minimally invasive insertion and closed-loop control of [6]-[8]. Depending on the clinical procedure, a range the flexible needle becomes a challenging problem. of needles with different gauges, stiffness levels, and tip geometries is available. These inherent needle characteristics Previous works in this domain focus primarily on resolvedrate play a crucial role in determining how the needle moves control, which relies on inverting a numerical inputoutput through soft biological tissues; additionally, surgeons also Jacobian matrix obtained either via Broyden's update employ various techniques, such as rotating or bending the law or simulating small input disturbances [10], [13], [15]- needle, to adjust the position of the needle tip in situ during [18]. Yet obtaining such invertible mapping can be challenging, insertion.


Shape Manipulation of Bevel-Tip Needles for Prostate Biopsy Procedures: A Comparison of Two Resolved-Rate Controllers

arXiv.org Artificial Intelligence

Prostate cancer diagnosis continues to encounter challenges, often due to imprecise needle placement in standard biopsies. Several control strategies have been developed to compensate for needle tip prediction inaccuracies, however none were compared against each other, and it is unclear whether any of them can be safely and universally applied in clinical settings. This paper compares the performance of two resolved-rate controllers, derived from a mechanics-based and a data-driven approach, for bevel-tip needle control using needle shape manipulation through a template. We demonstrate for a simulated 12-core biopsy procedure under model parameter uncertainty that the mechanics-based controller can better reach desired targets when only the final goal configuration is presented even with uncertainty on model parameters estimation, and that providing a feasible needle path is crucial in ensuring safe surgical outcomes when either controller is used for needle shape manipulation.