Fast, automated, real-time 3D passive balloon catheter tracking during MRI-guided cardiac catheterization using orthogonal projection imaging and real-time image-based catheter detection.

MR‐guidance cardiac catheterization passive tracking real time

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
01 Sep 2024
Historique:
revised: 02 07 2024
received: 31 01 2024
accepted: 05 08 2024
medline: 2 9 2024
pubmed: 2 9 2024
entrez: 2 9 2024
Statut: aheadofprint

Résumé

MRI-guidance of cardiac catheterization is currently performed using one or multiple 2D imaging planes, which may be suboptimal for catheter navigation, especially in patients with complex anatomies. The purpose of the work was to develop a robust real-time 3D catheter tracking method and 3D visualization strategy for improved MRI-guidance of cardiac catheterization procedures. A fast 3D tracking technique was developed using continuous acquisition of two orthogonal 2D-projection images. Each projection corresponds to a gradient echo stack of slices with only the central k-space lines being collected for each slice. To enhance catheter contrast, a saturation pulse is added ahead of the projection pair. An offline image processing algorithm was developed to identify the 2D coordinates of the balloon in each projection image and to estimate its corresponding 3D coordinates. Post-processing includes background signal suppression using an atlas of background 2D-projection images. 3D visualization of the catheter and anatomy is proposed using three live sagittal, coronal, and axial (MPR) views and 3D rendering. The technique was tested in a subset of a catheterization step in three patients undergoing MRI-guided cardiac catheterization using a passive balloon catheter. The extraction of the catheter balloon 3D coordinates was successful in all patients and for the majority of time-points (accuracy >96%). This tracking method enabled a novel 3D visualization strategy for passive balloon catheter, providing enhanced anatomical context during catheter navigation. The proposed tracking strategy shows promise for robust tracking of passive balloon catheter and may enable enhanced visualization during MRI-guided cardiac catheterization.

Identifiants

pubmed: 39219165
doi: 10.1002/mrm.30265
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Engineering and Physical Sciences Research Council
ID : EP/R010935/1
Organisme : Siemens
Organisme : Wellcome EPSRC Centre for Medical Engineering
ID : WT 203148/Z/16/Z
Organisme : British Heart Foundation
ID : PG/19/11/34243
Pays : United Kingdom
Organisme : British Heart Foundation
ID : PG/21/10539
Pays : United Kingdom
Organisme : National Institute for Health Research (NIHR) Biomedical Research Center based at Guy's
Organisme : St. Thomas' National Health Service (NHS) Foundation Trust and King's College London

Informations de copyright

© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Grzegorz T Kowalik (GT)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Eric Kerfoot (E)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Karl Kunze (K)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK.

Radhouene Neji (R)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Tracy Moon (T)

Guy's and St Thomas' NHS Foundation Trust, London, UK.

Nina Mellor (N)

Guy's and St Thomas' NHS Foundation Trust, London, UK.

Reza Razavi (R)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Kuberan Pushparajah (K)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Sébastien Roujol (S)

School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Classifications MeSH