| Real-time flow with fast GPU reconstruction for continuous assessment of cardiac output. | |
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MedLine Citation:
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PMID: 22745017 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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PURPOSE: To demonstrate the feasibility of real-time phase contrast magnetic resonance (PCMR) assessment of continuous cardiac output with a heterogeneous (CPU/GPU) system for online image reconstruction. MATERIALS AND METHODS: Twenty healthy volunteers underwent aortic flow examination during exercise using a real-time spiral PCMR sequence. Acquired data were reconstructed in online fashion using an iterative sensitivity encoding (SENSE) algorithm implemented on an external computer equipped with a GPU card. Importantly, data were sent back to the scanner console for viewing. A multithreaded CPU implementation of the real-time PCMR reconstruction was used as a reference point for the online GPU reconstruction assessment and validation. A semiautomated segmentation and registration algorithm was applied for flow data analysis. RESULTS: There was good agreement between the GPU and CPU reconstruction (-0.4 ± 0.8 mL). There was a significant speed-up compared to the CPU reconstruction (15×). This translated into the flow data being available on the scanner console ≈9 seconds after acquisition finished. This compares to an estimated time using the CPU implementation of 83 minutes. CONCLUSION: Our heterogeneous image reconstruction system provides a base for translation of complex MRI algorithms into clinical workflow. We demonstrated its feasibility using real-time PCMR assessment of continuous cardiac output as an example. J. Magn. Reson. Imaging 2012. © 2012 Wiley Periodicals, Inc. |
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Authors:
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Grzegorz Tomasz Kowalik; Jennifer Anne Steeden; Bejal Pandya; Freddy Odille; David Atkinson; Andrew Taylor; Vivek Muthurangu |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-6-28 |
Journal Detail:
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Title: Journal of magnetic resonance imaging : JMRI Volume: - ISSN: 1522-2586 ISO Abbreviation: - Publication Date: 2012 Jun |
Date Detail:
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Created Date: 2012-6-29 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9105850 Medline TA: J Magn Reson Imaging Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Wiley Periodicals, Inc. |
Affiliation:
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UCL Institute of Cardiovascular Science, Centre for Cardiovascular Imaging, London, United Kingdom. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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