Correction for non-uniform k-space data weighting effects in first-pass cardiac perfusion imaging with TurboFLASH readout

Sohae Chung,Leon Axel

doi:10.1186/1532-429x-14-s1-p278

Abstract

Summary To correct for non-uniform k-space data weighing on image intensity in T1-weighted first-pass cardiac perfusion MR imaging with TurboFLASH readout by using numerical simulations. Background To obtain first-pass cardiac perfusion images, a saturation-recovery (SR) preparation can be used with TurboFLASH readout. However, non-uniform k-space weighting during the SR recovery may lead to distortion of the image point spread function; this may lead to systematic overestimation or underestimation of the imagederived arterial input function (AIF) and myocardium signals, with resulting bias in the perfusion calculations. In this work, we used numerical simulations to correct for non-uniform k-space data weighting effects on the AIF and myocardial wall signals. Methods

Highlights

To obtain first-pass cardiac perfusion images, a saturation-recovery (SR) preparation can be used with TurboFLASH readout
Images were obtained at 2 slice locations using a SR TurboFLASH readout with centric k-space reordering in order to minimize the sensitivity to inflow effects [1]
A numerical model of each representative object geometry was generated and the corresponding T1-weighted signals in k-space were calculated, using the Bloch equation [3] with the same parameters used in MR imaging

Summary

Background

To obtain first-pass cardiac perfusion images, a saturation-recovery (SR) preparation can be used with TurboFLASH readout. Non-uniform k-space weighting during the SR recovery may lead to distortion of the image point spread function; this may lead to systematic overestimation or underestimation of the imagederived arterial input function (AIF) and myocardium signals, with resulting bias in the perfusion calculations. We used numerical simulations to correct for non-uniform k-space data weighting effects on the AIF and myocardial wall signals

Methods

Results

Conclusions