RGB-D camera-based clinical workflow optimization for rotational angiography

K. İncetan, Rishi Mohan (Corresponding author), Henry Stoutjesdijk, Nelson Fernandes, Bram de Jager

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

High-speed Rotational Angiography scans are prone to potential collisions between the C-arm X-ray system and the patient. A key factor during rotational angiography clinical workflow is thus the initial patient positioning to ensure a collision-free scan. The current practice for this involves multiple manual iterations of a low speed safety-run prior to the actual scan. Several iterations are often required before a scan is collision-free leading to a suboptimal clinical workflow. This work proposes a RGB-D camera based safety system which automates the patient positioning process. The camera determines collisions between the C-arm and patient and a re-positioning algorithm determines the movement of the patient table required to ensure a collisoin-free scan. A unique feature of the solution is the ability to warn clinical staff when a collision-free scan is not possible. The efficacy of the proposed system is illustrated experimentally for two major RA scan types.
Original languageEnglish
Article number9056792
Pages (from-to)8867 - 8874
Number of pages8
JournalIEEE Sensors Journal
Volume20
Issue number15
DOIs
Publication statusPublished - 1 Aug 2020

Keywords

  • Collision prediction
  • RGB-D camera
  • clinical workflow
  • collision avoidance
  • patient safety

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