A model‐based reconstruction technique for quantitative myocardial perfusion imaging
A model‐based reconstruction technique for quantitative myocardial perfusion imaging
复制标题
基于模型的定量心肌灌注成像重建技术
DOI:
10.1002/mrm.25921
复制
发表时间:
2016
影响因子:
3.3
通讯作者:
Köstler H
中科院分区:
文献类型:
--
作者:
Tran-Gia J;Lohr D;Weng AM;Ritter CO;Stäb D;Bley TA;Köstler H
PurposeTo 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 MethodsImaging 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.ResultsIn 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.ConclusionThe 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.
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影响因子:
3.3
作者:
Broadbent, David A.;Biglands, John D.;Buckley, David L.
通讯作者:
Buckley, David L.
影响因子:
5.9
作者:
de Bazelaire, Cedric;Rofsky, Neil M.;Alsop, David C.
通讯作者:
Alsop, David C.
影响因子:
2.5
作者:
J. Tran;T. Wech;D. Hahn;T. Bley;H. Köstler
通讯作者:
H. Köstler
影响因子:
4.4
作者:
Kim, D;Axel, L
通讯作者:
Axel, L
影响因子:
3.3
作者:
K. Scheffler;J. Hennig
通讯作者:
J. Hennig