Purpose: In conventional multiband (MB) CAIPIRINHA, additional reference scans are acquired to allow the separation of the excited slices. In this study, an acquisition-reconstruction technique that makes use of the MB data to calculate these reference data is presented. The method was integrated into a 2D time-resolved phase-contrast MR sequence used to assess velocities of the myocardium. Methods: The RF phases of the MB pulse are cycled through time so that consecutive cardiac phases can be grouped to form reference scans at a lower temporal resolution. These reference data are subsequently used to separate the original slices at the original, high temporal resolution using slice/split-slice GRAPPA algorithms. Slice separation performances are evaluated and compared with conventional methods at 3 T, and 3 different strategies for the calibration of the kernels are proposed and compared. Finally, 6 subjects were scanned to assess velocities of the myocardium. Results: Because the acquisition of external references is not needed, no additional breath-holds are required and the full MB acceleration could be exploited. Because the reference and MB data have the same resolution and phase structure, better slice separation was achieved when comparing the proposed technique to conventional workflows. Finally, time-resolved velocities of the myocardial tissue were successfully quantified from MB data, showing good agreement with single-band measurements. Conclusion: Our built-in reference method allows the full exploitation of the MB acceleration and it limits the number of breath-holds.
Bibliographical noteFunding Information:
Funding information Grant support: The German Research Foundation, Grant numbers GRK2260 and BIOQIC (to JPB); NIH, Grant number P41 EB015894. The authors would like to thank Anthony N. Price (King's College London) and Johannes Mayer (PTB) for the useful discussions. J.P.B. received funding from the German Research Foundation (GRK2260, BIOQIC). This work was supported by NIH funded P41 EB015894.
Grant support: The German Research Foundation, Grant numbers GRK2260 and BIOQIC (to JPB); NIH, Grant number P41 EB015894.
The authors would like to thank Anthony N. Price (King’s College London) and Johannes Mayer (PTB) for the useful discussions. J.P.B. received funding from the German Research Foundation (GRK2260, BIOQIC). This work was supported by NIH funded P41 EB015894.
© 2018 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.
- cardiac tissue phase mapping
- multiband CAIPIRINHA
- reference data
- slice separation
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