- Oral presentation
- Open Access
Respiratory motion model based correction for improving the targeting accuracy of MRI-guided intracardiac electrophysiology procedures
https://doi.org/10.1186/1532-429X-17-S1-O24
© Xu et al; licensee BioMed Central Ltd. 2015
- Published: 3 February 2015
Keywords
- Catheter Ablation
- Physiology Data
- Left Ventricle Wall
- Excellent Soft Tissue Contrast
- Spiral Sequence
Background
Recently, there is an increased interest in using MRI to guide electrophysiology (EP) procedures as an alternative to X-ray fluoroscopy guidance, due to its excellent soft tissue contrast and lack of radiation. However, there exist tradeoffs between different MRI guidance schemes. Realtime 2D MR sequences are able to capture heart motion during an interventional setting, while sacrificing imaging quality, whereas high-resolution prior 3D roadmaps are static and do not reflect the respiratory motion of the heart. In this work, we explore the feasibility of deriving a motion model from these two complementary datasets, and evaluate its potential for improving the targeting accuracy of MRI-guided EP procedures.
Methods
Schematic diagram of the motion model. Realtime 2D free breathing images of each pig are registered to a corresponding end expiration 3D prior volume. All images are cardiac gated and acquired along with synchronized respiratory physiology data. Image registration was used to extract motion parameters consisting of rotations and translations along the x,y,z imaging axes. Each parameter was then fitted as a linear function of the physiology data to produce a subject-specific respiratory motion model.
Results
Ablation position correction. (a) Contrast enhanced IR-SSFP image showing the created lesion. Red arrow points to the location of an erroneous realtime tracked catheter tip position during RF ablation. Yellow arrow points to the actual anatomical location of the created lesion. A green arrow points to the corrected catheter position after motion model was applied to the erroneously tracked position. (b) The same lesion is shown in gross pathology at the approximate short axis slice location, after the animal was sacrificed.
Conclusions
We successfully demonstrated the feasibility to produce a data-driven model to retrospectively correct for the respiratory motion of the heart. Future work will focus on exploring the potential of the model to prospectively correct for motion and improve the ablation accuracy during MRI-guided EP procedures.
Funding
GE Healthcare and Federal Development Agency of Canada.
Authors’ Affiliations
References
- Dumoulin C: MRM. 1993, 29: 411-415. 10.1002/mrm.1910290322.View ArticlePubMedGoogle Scholar
- Xu R: IEEE TBME. 2014, 61: 2621-2632.Google Scholar
Copyright
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.