Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections.


Journal

IEEE transactions on medical robotics and bionics
ISSN: 2576-3202
Titre abrégé: IEEE Trans Med Robot Bionics
Pays: United States
ID NLM: 101749706

Informations de publication

Date de publication:
Nov 2022
Historique:
medline: 4 10 2023
pubmed: 4 10 2023
entrez: 4 10 2023
Statut: ppublish

Résumé

We present an autonomous robotic spine needle injection system using fluoroscopic image-based navigation. Our system includes patient-specific planning, intra-operative image-based 2D/3D registration and navigation, and automatic robot-guided needle injection. We performed intensive simulation studies to validate the registration accuracy. We achieved a mean spine vertebrae registration error of 0.8 ± 0.3 mm, 0.9 ± 0.7 degrees, mean injection device registration error of 0.2 ± 0.6 mm, 1.2 ± 1.3 degrees, in translation and rotation, respectively. We then conducted cadaveric studies comparing our system to an experienced clinician's free-hand injections. We achieved a mean needle tip translational error of 5.1 ± 2.4 mm and needle orientation error of 3.6 ± 1.9 degrees for robotic injections, compared to 7.6 ± 2.8 mm and 9.9 ± 4.7 degrees for clinician's free-hand injections, respectively. During injections, all needle tips were placed within the defined safety zones for this application. The results suggest the feasibility of using our image-guided robotic injection system for spinal orthopedic applications.

Identifiants

pubmed: 37790985
doi: 10.1109/tmrb.2022.3196321
pmc: PMC10544812
mid: NIHMS1851614
doi:

Types de publication

Journal Article

Langues

eng

Pagination

901-909

Subventions

Organisme : NIAMS NIH HHS
ID : R01 AR080315
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB016703
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB023939
Pays : United States
Organisme : NIBIB NIH HHS
ID : R21 EB020113
Pays : United States

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Auteurs

Cong Gao (C)

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.

Henry Phalen (H)

Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.

Adam Margalit (A)

Department of Orthopaedic Surgery, Baltimore, MD, USA 21224.

Justin H Ma (JH)

Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.

Ping-Cheng Ku (PC)

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.

Mathias Unberath (M)

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.

Russell H Taylor (RH)

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.

Amit Jain (A)

Department of Orthopaedic Surgery, Baltimore, MD, USA 21224.

Mehran Armand (M)

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
Department of Orthopaedic Surgery, Baltimore, MD, USA 21224.
Johns Hopkins Applied Physics Laboratory, Baltimore, MD, USA 21224.

Classifications MeSH