A model-based reconstruction technique for quantitative myocardial perfusion imaging

Tran-Gia, Johannes, Lohr, David, Weng, Andreas Max, Ritter, Christian Oliver, Stäb, Daniel, Bley, Thorsten Alexander and Köstler, Herbert (2016) A model-based reconstruction technique for quantitative myocardial perfusion imaging. Magnetic Resonance in Medicine, 76 3: 880-887. doi:10.1002/mrm.25921


Author Tran-Gia, Johannes
Lohr, David
Weng, Andreas Max
Ritter, Christian Oliver
Stäb, Daniel
Bley, Thorsten Alexander
Köstler, Herbert
Title A model-based reconstruction technique for quantitative myocardial perfusion imaging
Journal name Magnetic Resonance in Medicine   Check publisher's open access policy
ISSN 1522-2594
0740-3194
Publication date 2016-09-01
Sub-type Article (original research)
DOI 10.1002/mrm.25921
Open Access Status Not yet assessed
Volume 76
Issue 3
Start page 880
End page 887
Total pages 8
Place of publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Language eng
Abstract To reduce saturation effects in the arterial input function (AIF) estimation of quantitative myocardial first-pass saturation recovery perfusion imaging by employing a model-based reconstruction.

Imaging was performed with a saturation recovery prepared radial FLASH sequence. A model-based reconstruction was applied for reconstruction. By exploiting prior knowledge about the relaxation process, an image series with different saturation recovery times was reconstructed. By evaluating images with an effective saturation time of approximately 3 ms, saturation effects in the AIF determination were reduced. In a volunteer study, this approach was compared with a standard prebolus technique.

In comparison to the low-dose injection of a prebolus acquisition, saturation effects were further reduced in the AIFs determined using the model-based approach. These effects, which were clearly visible for all six volunteers, were reflected in a statistically significant difference of up to 20% in the absolute perfusion values.

The application of model-based reconstruction algorithms in quantitative myocardial perfusion imaging promises a significant improvement of the AIF determination. In addition to greatly reducing saturation effects that occur even for the prebolus methods, only a single bolus has to be applied. Magn Reson Med 76:880-887, 2016. © 2015 Wiley Periodicals, Inc.
Formatted abstract
Purpose: To reduce saturation effects in the arterial input function (AIF) estimation of quantitative myocardial first-pass saturation recovery perfusion imaging by employing a model-based reconstruction.

Theory and Methods: Imaging was performed with a saturation recovery prepared radial FLASH sequence. A model-based reconstruction was applied for reconstruction. By exploiting prior knowledge about the relaxation process, an image series with different saturation recovery times was reconstructed. By evaluating images with an effective saturation time of approximately 3 ms, saturation effects in the AIF determination were reduced. In a volunteer study, this approach was compared with a standard prebolus technique.

Results: In comparison to the low-dose injection of a prebolus acquisition, saturation effects were further reduced in the AIFs determined using the model-based approach. These effects, which were clearly visible for all six volunteers, were reflected in a statistically significant difference of up to 20% in the absolute perfusion values.

Conclusion: The application of model-based reconstruction algorithms in quantitative myocardial perfusion imaging promises a significant improvement of the AIF determination. In addition to greatly reducing saturation effects that occur even for the prebolus methods, only a single bolus has to be applied. 
Keyword Arterial input function
MAP reconstruction
Model-based reconstruction
Quantitative myocardial perfusion imaging
Radial acquisition
Saturation recovery magnetization preparation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Centre for Advanced Imaging Publications
 
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