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WORKSHOP PRESENTATION Open Access Cardiac MR fingerprinting for T1 and T2 mapping in four heartbeats Jesse I Hamilton 1* , Yun Jiang 1 , Dan Ma 1 , Bhairav B Mehta 1 , Wei-Ching Lo 1 , Yong Chen 1 , Mark A Griswold 1,2 , Nicole Seiberlich 1 From 19th Annual SCMR Scientific Sessions Los Angeles, CA, USA. 27-30 January 2016 Background MR Fingerprinting (MRF) (Ma et al, Nature, 2013) can potentially achieve shorter scan times than conventional mapping by exploiting flexible sequence parameters. Cardiac MRF has been reported for single-slice mapping of T1 and T2 in sixteen heartbeats (Hamilton et al, Proc ISMRM, 2015). Here the scan duration is reduced to four heartbeats using an iterative multi-scale denoising pattern recognition (Pierre et al, Magn Reson Med, 2015). Methods The MRF scan is acquired during a breathhold and uses ECG triggering. Every heartbeat contains magnetization preparation and data readout stages. A non-selective inversion (TI = 21 ms) sensitizes the signal to T1 before the first excitation, and an MLEV composite T2-prepara- tion is applied during the third (TE = 40 ms) and fourth (TE = 80 ms) heartbeats. The acquisition window employs a FISP readout with variable flip angles (4-15 deg), and the TR is minimized and held constant (5.1 ms) to maximize the number of images acquired each heartbeat. Data are sampled along a variable density spiral (TE = 1.4 ms) with 48 interleaves and a golden angle interleaf ordering. Each heartbeat, 48 images are collected in a 245 ms scan window and gridded using the NUFFT with acceleration factor R = 48. A dictionary of signal timecourses was cal- culated using a Bloch simulation, and quantitative maps were made using the denoising algorithm with 4 iterations (Gaussian weights of kmax*0.05, kmax*0.25, kmax*0.4, and no filtering on the final iteration). Eleven volunteers were imaged in short-axis orienta- tion on a 3T Siemens Skyra with 30 coils. Scans were performed using MRF, the original 17-heartbeat MOLLI, and a 10-heartbeat T2-prepared bSSFP sequence (TE = 0, 25, and 55 ms). All scans used a 192 × 192 matrix, 1.6 × 1.6 × 8.0 mm 3 spatial resolution, and 300 mm2 FoV. The conventional maps were fit by a nonlinear parameter estimation. Mean and standard deviations in T1 and T2 were computed over the entire myocardium and assessed using a Bland-Altman analysis. Addition- ally, in one volunteer the MRF scan was concatenated to map 4 slices during a 16-heartbeat breathhold, with each slice acquired in 4 consecutive heartbeats. Results Representative maps are in shown in Figure 1A, where the myocardial T1 and T2 from MRF are in good agree- ment with conventional maps. From the Bland-Altman plots (Figure 1B), the T1 measurements for all volun- teers lie within the 95% limits of agreements (-97 ms, 51 ms) with bias -23 ms. Ten out of eleven T2 measure- ments are within the 95% limits of agreement (-8.9 ms, 5.9 ms) with bias -1.5 ms. Figure 2 displays MRF maps from 4 slices collected during a breathhold lasting 16 heartbeats (4 heartbeats per slice). Conclusions Myocardial T1 and T2 maps can be acquired in 4 heart- beats using MRF with iterative denoising pattern recogni- tion. The short scan time could be useful for patients who have difficulty with breathholds and could enable increased coverage if combined with multi-slice techniques. Authorsdetails 1 Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. 2 Radiology, University Hospitals, Cleveland, OH, USA. 1 Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA Full list of author information is available at the end of the article Hamilton et al. Journal of Cardiovascular Magnetic Resonance 2016, 18(Suppl 1):W1 http://www.jcmr-online.com/content/18/S1/W1 © 2016 Hamilton et al. 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.

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Page 1: WORKSHOP PRESENTATION Open Access Cardiac MR ... · WORKSHOP PRESENTATION Open Access Cardiac MR fingerprinting for T1 and T2 mapping in four heartbeats Jesse I Hamilton1*, Yun Jiang1,

WORKSHOP PRESENTATION Open Access

Cardiac MR fingerprinting for T1 and T2 mappingin four heartbeatsJesse I Hamilton1*, Yun Jiang1, Dan Ma1, Bhairav B Mehta1, Wei-Ching Lo1, Yong Chen1, Mark A Griswold1,2,Nicole Seiberlich1

From 19th Annual SCMR Scientific SessionsLos Angeles, CA, USA. 27-30 January 2016

BackgroundMR Fingerprinting (MRF) (Ma et al, Nature, 2013) canpotentially achieve shorter scan times than conventionalmapping by exploiting flexible sequence parameters.Cardiac MRF has been reported for single-slice mappingof T1 and T2 in sixteen heartbeats (Hamilton et al, ProcISMRM, 2015). Here the scan duration is reduced tofour heartbeats using an iterative multi-scale denoisingpattern recognition (Pierre et al, Magn Reson Med,2015).

MethodsThe MRF scan is acquired during a breathhold and usesECG triggering. Every heartbeat contains magnetizationpreparation and data readout stages. A non-selectiveinversion (TI = 21 ms) sensitizes the signal to T1 beforethe first excitation, and an MLEV composite T2-prepara-tion is applied during the third (TE = 40 ms) and fourth(TE = 80 ms) heartbeats. The acquisition window employsa FISP readout with variable flip angles (4-15 deg), and theTR is minimized and held constant (5.1 ms) to maximizethe number of images acquired each heartbeat. Data aresampled along a variable density spiral (TE = 1.4 ms) with48 interleaves and a golden angle interleaf ordering. Eachheartbeat, 48 images are collected in a 245 ms scanwindow and gridded using the NUFFT with accelerationfactor R = 48. A dictionary of signal timecourses was cal-culated using a Bloch simulation, and quantitative mapswere made using the denoising algorithm with 4 iterations(Gaussian weights of kmax*0.05, kmax*0.25, kmax*0.4,and no filtering on the final iteration).Eleven volunteers were imaged in short-axis orienta-

tion on a 3T Siemens Skyra with 30 coils. Scans were

performed using MRF, the original 17-heartbeat MOLLI,and a 10-heartbeat T2-prepared bSSFP sequence (TE =0, 25, and 55 ms). All scans used a 192 × 192 matrix,1.6 × 1.6 × 8.0 mm3 spatial resolution, and 300 mm2FoV. The conventional maps were fit by a nonlinearparameter estimation. Mean and standard deviations inT1 and T2 were computed over the entire myocardiumand assessed using a Bland-Altman analysis. Addition-ally, in one volunteer the MRF scan was concatenatedto map 4 slices during a 16-heartbeat breathhold, witheach slice acquired in 4 consecutive heartbeats.

ResultsRepresentative maps are in shown in Figure 1A, wherethe myocardial T1 and T2 from MRF are in good agree-ment with conventional maps. From the Bland-Altmanplots (Figure 1B), the T1 measurements for all volun-teers lie within the 95% limits of agreements (-97 ms, 51ms) with bias -23 ms. Ten out of eleven T2 measure-ments are within the 95% limits of agreement (-8.9 ms,5.9 ms) with bias -1.5 ms. Figure 2 displays MRF mapsfrom 4 slices collected during a breathhold lasting 16heartbeats (4 heartbeats per slice).

ConclusionsMyocardial T1 and T2 maps can be acquired in 4 heart-beats using MRF with iterative denoising pattern recogni-tion. The short scan time could be useful for patients whohave difficulty with breathholds and could enable increasedcoverage if combined with multi-slice techniques.

Authors’ details1Biomedical Engineering, Case Western Reserve University, Cleveland, OH,USA. 2Radiology, University Hospitals, Cleveland, OH, USA.

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH,USAFull list of author information is available at the end of the article

Hamilton et al. Journal of Cardiovascular MagneticResonance 2016, 18(Suppl 1):W1http://www.jcmr-online.com/content/18/S1/W1

© 2016 Hamilton et al. 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 theoriginal 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.

Page 2: WORKSHOP PRESENTATION Open Access Cardiac MR ... · WORKSHOP PRESENTATION Open Access Cardiac MR fingerprinting for T1 and T2 mapping in four heartbeats Jesse I Hamilton1*, Yun Jiang1,

Figure 1 1A: Maps of T1 and T2 acquired with 4-heartbeat MRF (left) compared with MOLLI and T2-prepared bSSFP (right). The meanand standard deviations for T1 and T2 within the myocardial wall are also presented. 1B: Bland-Altman plots comparing myocardial T1 betweenMRF and MOLLI and T2 between MRF and T2-prepared bSSFP in 11 volunteers. The 95% limits of agreement are indicated by red lines.

Figure 2 MRF T1 and T2 maps from a volunteer acquired from four slices during a breathhold lasting sixteen heartbeats, where eachslice was acquired in four consecutive heartbeats. The mean and standard deviations for T1 and T2 within the myocardial wall are also given.

Hamilton et al. Journal of Cardiovascular MagneticResonance 2016, 18(Suppl 1):W1http://www.jcmr-online.com/content/18/S1/W1

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Page 3: WORKSHOP PRESENTATION Open Access Cardiac MR ... · WORKSHOP PRESENTATION Open Access Cardiac MR fingerprinting for T1 and T2 mapping in four heartbeats Jesse I Hamilton1*, Yun Jiang1,

Published: 27 January 2016

doi:10.1186/1532-429X-18-S1-W1Cite this article as: Hamilton et al.: Cardiac MR fingerprinting for T1 andT2 mapping in four heartbeats. Journal of Cardiovascular MagneticResonance 2016 18(Suppl 1):W1.

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Hamilton et al. Journal of Cardiovascular MagneticResonance 2016, 18(Suppl 1):W1http://www.jcmr-online.com/content/18/S1/W1

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