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Real-time flow with fast GPU reconstruction for continuous assessment of cardiac output.

Kowalik, GT; Steeden, JA; Pandya, B; Odille, F; Atkinson, D; Taylor, A; Muthurangu, V; (2012) Real-time flow with fast GPU reconstruction for continuous assessment of cardiac output. J Magn Reson Imaging , 36 (6) pp. 1477-1482. 10.1002/jmri.23736.

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Abstract

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.

Type: Article
Title: Real-time flow with fast GPU reconstruction for continuous assessment of cardiac output.
Location: United States
DOI: 10.1002/jmri.23736
Keywords: Adult, Algorithms, Aorta, Blood Flow Velocity, Cardiac Output, Computer Graphics, Computer Systems, Equipment Design, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Cine, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted
UCL classification: UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Medicine (Division of)
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Medicine (Division of) > Metabolism and Experimental Therapeutics
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Child Health
URI: http://discovery.ucl.ac.uk/id/eprint/1345985
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