Toward Certifiable Motion Planning for Medical Steerable Needles

Mengyu Fu, Oren Salzman, Ron Alterovitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Medical steerable needles can move along 3D curvilinear trajectories to avoid anatomical obstacles and reach clinically significant targets inside the human body. Automating steerable needle procedures can enable physicians and patients to harness the full potential of steerable needles by maximally leveraging their steerability to safely and accurately reach targets for medical procedures such as biopsies and localized therapy delivery for cancer. For the automation of medical procedures to be clinically accepted, it is critical from a patient care, safety, and regulatory perspective to certify the correctness and effectiveness of the motion planning algorithms involved in procedure automation. In this paper, we take an important step toward creating a certifiable motion planner for steerable needles. We introduce the first motion planner for steerable needles that offers a guarantee, under clinically appropriate assumptions, that it will, in finite time, compute an exact, obstacle-avoiding motion plan to a specified target, or notify the user that no such plan exists. We present an efficient, resolution-complete motion planner for steerable needles based on a novel adaptation of multi-resolution planning. Compared to state-of-the-art steerable needle motion planners (none of which provide any completeness guarantees), we demonstrate that our new resolution-complete motion planner computes plans faster and with a higher success rate.

Original languageEnglish
Title of host publicationRobotics
Subtitle of host publicationScience and Systems XVII
EditorsDylan A. Shell, Marc Toussaint, M. Ani Hsieh
DOIs
StatePublished - 2021
Event17th Robotics: Science and Systems, RSS 2021 - Virtual, Online
Duration: 12 Jul 202116 Jul 2021

Publication series

NameRobotics: Science and Systems
ISSN (Electronic)2330-765X

Conference

Conference17th Robotics: Science and Systems, RSS 2021
CityVirtual, Online
Period12/07/2116/07/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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