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Augmented reality in computer-assisted interventions based on patient-specific 3D printed reference.

Rafael Moreta-Martinez1,2, David García-Mato1,2, Mónica García-Sevilla1,2

  • 1Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.

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|November 23, 2018
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Summary
This summary is machine-generated.

This study introduces a 3D printing method for patient-specific tools to improve augmented reality (AR) surgical navigation accuracy. The novel approach enhances visualization of anatomy and tumors during procedures.

Keywords:
actual surgical interventionaugmented realityautomatic registrationbonecancercomputer-assisted interventionscomputerised tomographyextraosseous Ewing sarcomaimage registrationmedical image processingpaediatricspatient-specific 3D printed referencepatient-specific toolsplacement errorsreal-world spacessoftware applicationsurgerysurgical fieldtumour locationtumoursvisual pattern

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Area of Science:

  • Medical Technology
  • Surgical Navigation
  • Augmented Reality

Background:

  • Augmented reality (AR) offers potential for clinical applications, serving as an alternative to traditional surgical navigation systems.
  • Accurate registration between augmented data and the real-world surgical space remains a significant challenge hindering AR adoption.

Purpose of the Study:

  • To develop and validate a novel method for automatic registration in AR surgical navigation using patient-specific 3D printed tools.
  • To enhance the precision and reliability of AR visualization in clinical settings.

Main Methods:

  • A desktop 3D printing technique was employed to create patient-specific surgical tools featuring a unique visual pattern for automatic registration.
  • The developed workflow was implemented as a software application compatible with Microsoft HoloLens.
  • Validation was performed on a 3D printed phantom mimicking patient anatomy and subsequently tested during a real surgical intervention for an extraosseous Ewing's sarcoma.

Main Results:

  • The patient-specific tools ensured precise placement, mitigating errors associated with conventional methods.
  • The AR application successfully overlaid visualizations of skin, bone, and tumor locations onto both the phantom and the patient.
  • Physicians could accurately visualize critical anatomical structures and the tumor during the surgical procedure.

Conclusions:

  • The proposed 3D printing-based method significantly improves the accuracy of AR registration for surgical navigation.
  • This workflow demonstrates broad potential for various clinical applications, including surgery, training, and simulation, particularly for procedures involving hard body structures.
  • The approach is adaptable to different AR devices, including head-mounted displays, tablets, and smartphones.