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Toward Real-Time Availability of 3D Temperature Maps Created with Temporally Constrained Reconstruction

Todd, Nick and Prakash, Jaya and Odeen, Henrik and de Bever, Josh and Payne, Allison and Yalavarthy, Phaneendra and Parker, Dennis L. (2014) Toward Real-Time Availability of 3D Temperature Maps Created with Temporally Constrained Reconstruction. In: MAGNETIC RESONANCE IN MEDICINE, 71 (4). pp. 1394-1404.

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Official URL: http://dx.doi.org/10.1002/mrm.24783


PurposeTo extend the previously developed temporally constrained reconstruction (TCR) algorithm to allow for real-time availability of three-dimensional (3D) temperature maps capable of monitoring MR-guided high intensity focused ultrasound applications. MethodsA real-time TCR (RT-TCR) algorithm is developed that only uses current and previously acquired undersampled k-space data from a 3D segmented EPI pulse sequence, with the image reconstruction done in a graphics processing unit implementation to overcome computation burden. Simulated and experimental data sets of HIFU heating are used to evaluate the performance of the RT-TCR algorithm. ResultsThe simulation studies demonstrate that the RT-TCR algorithm has subsecond reconstruction time and can accurately measure HIFU-induced temperature rises of 20 degrees C in 15 s for 3D volumes of 16 slices (RMSE = 0.1 degrees C), 24 slices (RMSE = 0.2 degrees C), and 32 slices (RMSE = 0.3 degrees C). Experimental results in ex vivo porcine muscle demonstrate that the RT-TCR approach can reconstruct temperature maps with 192 x 162 x 66 mm 3D volume coverage, 1.5 x 1.5 x 3.0 mm resolution, and 1.2-s scan time with an accuracy of 0.5 degrees C. ConclusionThe RT-TCR algorithm offers an approach to obtaining large coverage 3D temperature maps in real-time for monitoring MR-guided high intensity focused ultrasound treatments. Magn Reson Med 71:1394-1404, 2014. (c) 2013 Wiley Periodicals, Inc.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to the WILEY-BLACKWELL, USA
Keywords: MR thermometry; temperature; constrained reconstruction; HIFU
Department/Centre: Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited: 28 May 2014 09:35
Last Modified: 28 May 2014 09:35
URI: http://eprints.iisc.ac.in/id/eprint/49078

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