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High-Precision 5DoF Tracking and Visualization of Catheter Placement in EVD of the Brain Using AR

Authors:

Sarah B. Murthi,

Gary Schwartzbauer,

Amitabh VarshneyAuthors Info & Claims

ACM Transactions on Computing for Healthcare , Volume 1, Issue 2

Article No.: 9, Pages 1 - 18

https://doi.org/10.1145/3365678

Published: 11 March 2020 Publication History

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Abstract

External ventricular drainage (EVD) is a high-risk medical procedure that involves inserting a catheter inside a patient’s skull, through the brain and into a ventricle, to drain cerebrospinal fluid and thus relieve elevated intracranial pressure. Once the catheter has entered the skull, its tip cannot be seen. The neurosurgeon has to imagine its location inside the cranium and direct it toward the ventricle using only anatomic landmarks. The EVD catheter is thin and thus hard to track using infra-red depth sensors. Traditional optical tracking using fiducial or other markers inevitably changes the shape or weight of the medical instrument. We present an augmented reality system that depicts the catheter for EVD and a new technique to precisely track the catheter inside the skull. Our technique uses a new linear marker detection method that requires minimal changes to the catheter and is well suited for tracking other thin medical devices that require high-precision tracking.

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Index Terms

High-Precision 5DoF Tracking and Visualization of Catheter Placement in EVD of the Brain Using AR
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
  2. Computer graphics
    1. Graphics systems and interfaces
      1. Mixed / augmented reality

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cover image ACM Transactions on Computing for Healthcare

ACM Transactions on Computing for Healthcare Volume 1, Issue 2

April 2020

90 pages

EISSN:2637-8051

DOI:10.1145/3387924

Editors:
Insup Lee
University of Pennsylvania, USA
,
John A. Stankovic
University of Virginia, USA

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Publication History

Published: 11 March 2020

Accepted: 01 October 2019

Revised: 01 July 2019

Received: 01 November 2018

Published in HEALTH Volume 1, Issue 2

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https://dl.acm.org/doi/10.1145/3613904.3642324
Castelo SRulff JMcGowan ESteers BWu GChen SRoman ILopez RBrewer EZhao CQian JCho KHe HSun QVo HBello JKrone MSilva C(2024): Visualization of AI-Assisted Task Guidance in ARIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332739630:1(1313-1323)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327396
Santos BTrevisan D(2023)Overview and Tendencies of Augmented Reality Applications in MedicineProceedings of the 25th Symposium on Virtual and Augmented Reality10.1145/3625008.3625013(26-37)Online publication date: 6-Nov-2023
https://dl.acm.org/doi/10.1145/3625008.3625013
Benmahdjoub MThabit Avan Veelen MNiessen WWolvius EWalsum T(2023)Evaluation of AR visualization approaches for catheter insertion into the ventricle cavityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324704229:5(2434-2445)Online publication date: 1-May-2023
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Beams RBrown ECheng WJoyner JKim AKontson KAmiras DBaeuerle TGreenleaf WGrossmann RGupta AHamilton CHua HHuynh TLeuze CMurthi SPenczek JSilva JSpiegel BVarshney ABadano A(2022)Evaluation Challenges for the Application of Extended Reality Devices in MedicineJournal of Digital Imaging10.1007/s10278-022-00622-x35:5(1409-1418)Online publication date: 25-Apr-2022
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