A g‐factor metric for k‐t SENSE and k‐t PCA based parallel imaging
A g‐factor metric for k‐t SENSE and k‐t PCA based parallel imaging
复制标题
基于并行成像的 kât SENSE 和 kât PCA 的 gâfactor 度量
DOI:
10.1002/mrm.25606
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发表时间:
2015
影响因子:
3.3
通讯作者:
S. Kozerke
中科院分区:
文献类型:
--
作者:
C. Binter;R. Ramb;B. Jung;S. Kozerke
PurposeTo propose and validate a g‐factor formalism for k‐t SENSE, k‐t PCA and related k‐t methods for assessing SNR and temporal fidelity.MethodsAn analytical gxf‐factor formulation in the spatiotemporal frequency domain is derived, enabling assessment of noise and depiction fidelity in both the spatial and frequency domain. Using pseudoreplica analysis of cardiac cine data the gxf‐factor description is validated and example data are used to analyze the performance of k‐t methods for various parameter settings.ResultsAnalytical gxf‐factor maps were found to agree well with pseudoreplica analysis for 3x, 5x, and 7x k‐t SENSE and k‐t PCA. While k‐t SENSE resulted in lower average gxfvalues (gxavg) in static regions when compared with k‐t PCA, k‐t PCA yielded lower gxavgvalues in dynamic regions. Temporal transfer was better preserved with k‐t PCA for increasing undersampling factors.ConclusionThe proposed gxf‐factor and temporal transfer formalism allows assessing noise performance and temporal depiction fidelity of k‐t methods including k‐t SENSE and k‐t PCA. The framework enables quantitative comparison of different k‐t methods relative to frame‐by‐frame parallel imaging reconstruction. Magn Reson Med 75:562–571, 2016. © 2015 Wiley Periodicals, Inc.