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A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images

Image-guided cardiovascular interventions are rapidly evolving procedures that necessitate imaging systems capable of rapid data acquisition and low-latency image reconstruction and visualization. Compared to alternative modalities, Magnetic Resonance Imaging (MRI) is attractive for guidance in comp...

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Autores principales: Franson, Dominique, Dupuis, Andrew, Gulani, Vikas, Griswold, Mark, Seiberlich, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709155/
https://www.ncbi.nlm.nih.gov/pubmed/34940741
http://dx.doi.org/10.3390/jimaging7120274
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author Franson, Dominique
Dupuis, Andrew
Gulani, Vikas
Griswold, Mark
Seiberlich, Nicole
author_facet Franson, Dominique
Dupuis, Andrew
Gulani, Vikas
Griswold, Mark
Seiberlich, Nicole
author_sort Franson, Dominique
collection PubMed
description Image-guided cardiovascular interventions are rapidly evolving procedures that necessitate imaging systems capable of rapid data acquisition and low-latency image reconstruction and visualization. Compared to alternative modalities, Magnetic Resonance Imaging (MRI) is attractive for guidance in complex interventional settings thanks to excellent soft tissue contrast and large fields-of-view without exposure to ionizing radiation. However, most clinically deployed MRI sequences and visualization pipelines exhibit poor latency characteristics, and spatial integration of complex anatomy and device orientation can be challenging on conventional 2D displays. This work demonstrates a proof-of-concept system linking real-time cardiac MR image acquisition, online low-latency reconstruction, and a stereoscopic display to support further development in real-time MR-guided intervention. Data are acquired using an undersampled, radial trajectory and reconstructed via parallelized through-time radial generalized autocalibrating partially parallel acquisition (GRAPPA) implemented on graphics processing units. Images are rendered for display in a stereoscopic mixed-reality head-mounted display. The system is successfully tested by imaging standard cardiac views in healthy volunteers. Datasets comprised of one slice (46 ms), two slices (92 ms), and three slices (138 ms) are collected, with the acquisition time of each listed in parentheses. Images are displayed with latencies of 42 ms/frame or less for all three conditions. Volumetric data are acquired at one volume per heartbeat with acquisition times of 467 ms and 588 ms when 8 and 12 partitions are acquired, respectively. Volumes are displayed with a latency of 286 ms or less. The faster-than-acquisition latencies for both planar and volumetric display enable real-time 3D visualization of the heart.
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spelling pubmed-87091552021-12-25 A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images Franson, Dominique Dupuis, Andrew Gulani, Vikas Griswold, Mark Seiberlich, Nicole J Imaging Article Image-guided cardiovascular interventions are rapidly evolving procedures that necessitate imaging systems capable of rapid data acquisition and low-latency image reconstruction and visualization. Compared to alternative modalities, Magnetic Resonance Imaging (MRI) is attractive for guidance in complex interventional settings thanks to excellent soft tissue contrast and large fields-of-view without exposure to ionizing radiation. However, most clinically deployed MRI sequences and visualization pipelines exhibit poor latency characteristics, and spatial integration of complex anatomy and device orientation can be challenging on conventional 2D displays. This work demonstrates a proof-of-concept system linking real-time cardiac MR image acquisition, online low-latency reconstruction, and a stereoscopic display to support further development in real-time MR-guided intervention. Data are acquired using an undersampled, radial trajectory and reconstructed via parallelized through-time radial generalized autocalibrating partially parallel acquisition (GRAPPA) implemented on graphics processing units. Images are rendered for display in a stereoscopic mixed-reality head-mounted display. The system is successfully tested by imaging standard cardiac views in healthy volunteers. Datasets comprised of one slice (46 ms), two slices (92 ms), and three slices (138 ms) are collected, with the acquisition time of each listed in parentheses. Images are displayed with latencies of 42 ms/frame or less for all three conditions. Volumetric data are acquired at one volume per heartbeat with acquisition times of 467 ms and 588 ms when 8 and 12 partitions are acquired, respectively. Volumes are displayed with a latency of 286 ms or less. The faster-than-acquisition latencies for both planar and volumetric display enable real-time 3D visualization of the heart. MDPI 2021-12-14 /pmc/articles/PMC8709155/ /pubmed/34940741 http://dx.doi.org/10.3390/jimaging7120274 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Franson, Dominique
Dupuis, Andrew
Gulani, Vikas
Griswold, Mark
Seiberlich, Nicole
A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title_full A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title_fullStr A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title_full_unstemmed A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title_short A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images
title_sort system for real-time, online mixed-reality visualization of cardiac magnetic resonance images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709155/
https://www.ncbi.nlm.nih.gov/pubmed/34940741
http://dx.doi.org/10.3390/jimaging7120274
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