Meeting Banner
Abstract #2647

A G-Factor Metric for K-T SENSE and K-T PCA

Christian Binter1, Rebecca Ramb2, Bernd Jung3, Sebastian Kozerke1, 4

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland; 2Dept. of Radiology, Medical Physics , University Medical Center , Freiburg, Germany; 3Dept. of Radiology, Medical Physics , University Medical Center, Freiburg, Germany; 4Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Spatiotemporal undersampling methods allow for significant speed-up of image acquisition. This work aims at providing an analytical assessment of noise behavior and temporal fidelity of k-t SENSE and k-t PCA. The g-factor formalism introduced for parallel imaging (SENSE, GRAPPA) is extended to the temporal frequency domain. Using in-vivo data it is demonstrated that the proposed g-factor shows good agreement with results obtained by pseudo-replica analysis for both k-t SENSE and k-t PCA, and also matches the temporal transfer function for k-t SENSE.

Keywords

acceleration accordingly acquisition addition affect aliasing allow amplification analogy analytical analytically analyzed approximates array arrow assess axis balanced basis behavior best biomedical bottom channel characteristics chosen cine coil college components computational consuming correlations course covariance dataset decreasing defined denotes dependent dept described description determined deviation deviations diagonal directly distinct distributions domain dotted drop dynamics effective employed encoding engineering enhancement especially example exploiting expressed fidelity filtering formalism formulation frame frequencies frequency full fully function healthy increasing indicated indicating institute involved king kingdom load local location magnitude maps marginally matrices matrix measure medical metric middle mostly noise object occur overall parallel pass peak physics pixel plots position primarily principal profiles propose proposed providing pseudo radiology rather receiver reconstructed reconstruction reduction regularization relating relationship repetitions replica resolved respectively sampled scaled scanner sciences sense sensitivities separate short simulations slightly smaller spatial spatially speed stacked strongly temporal terms training transfer transformation varies vary view volunteer yields