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Wearable Mechatronic Ultrasound-integrated AR Navigation System for Lumbar Puncture Guidance.
Jiang, Baichuan; Wang, Liam; Xu, Keshuai; Hossbach, Martin; Demir, Alican; Rajan, Purnima; Taylor, Russell H; Moghekar, Abhay; Foroughi, Pezhman; Kazanzides, Peter; Boctor, Emad M.
Afiliação
  • Jiang B; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Wang L; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Xu K; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Hossbach M; Clear Guide Medical Inc., Baltimore, MD 21211, USA.
  • Demir A; Clear Guide Medical Inc., Baltimore, MD 21211, USA.
  • Rajan P; Clear Guide Medical Inc., Baltimore, MD 21211, USA.
  • Taylor RH; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Moghekar A; Department of Neurology, Johns Hopkins Medical Institute, Baltimore, MD 21205, USA.
  • Foroughi P; Clear Guide Medical Inc., Baltimore, MD 21211, USA.
  • Kazanzides P; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Boctor EM; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
IEEE Trans Med Robot Bionics ; 5(4): 966-977, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38779126
ABSTRACT
As one of the most commonly performed spinal interventions in routine clinical practice, lumbar punctures are usually done with only hand palpation and trial-and-error. Failures can prolong procedure time and introduce complications such as cerebrospinal fluid leaks and headaches. Therefore, an effective needle insertion guidance method is desired. In this work, we present a complete lumbar puncture guidance system with the integration of (1) a wearable mechatronic ultrasound imaging device, (2) volume-reconstruction and bone surface estimation algorithms and (3) two alternative augmented reality user interfaces for needle guidance, including a HoloLens-based and a tablet-based solution. We conducted a quantitative evaluation of the end-to-end navigation accuracy, which shows that our system can achieve an overall needle navigation accuracy of 2.83 mm and 2.76 mm for the Tablet-based and the HoloLens-based solutions, respectively. In addition, we conducted a preliminary user study to qualitatively evaluate the effectiveness and ergonomics of our system on lumbar phantoms. The results show that users were able to successfully reach the target in an average of 1.12 and 1.14 needle insertion attempts for Tablet-based and HoloLens-based systems, respectively, exhibiting the potential to reduce the failure rates of lumbar puncture procedures with the proposed lumbar-puncture guidance.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article