- Poster presentation
- Open Access
Correction for non-uniform k-space data weighting effects in first-pass cardiac perfusion imaging with TurboFLASH readout
© Chung and Axel; licensee BioMed Central Ltd. 2012
- Published: 1 February 2012
- Arterial Input Function
- Myocardial Wall
- Average Percent Difference
- Tracer Kinetic Modeling
- Cardiac Perfusion Image
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.
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 image-derived 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.
After signal correction using the calculated table, reduced signals and corresponding calculated Gd-DTPA concentrations (Fig.1c) were found in both AIF and the wall. The average percent differences between the measured and corrected values of the signals and Gd-DTPA concentrations for all subjects were 18.4±5.7% and 19.7±5.5% for the AIF, and 2.6±1.1% and 2.1±1.0% for the wall, respectively.
We have found that non-uniform k-space weighting in centric SR primarily affects the AIF, with less effect on the signal in the myocardial wall. Thus, it is important to correct for these differences, in order to avoid resulting systematic errors in quantitative estimates of perfusion-related variables. Using a look-up table approach, the image intensities can be corrected easily and rapidly before calculating the serial concentrations of Gd contrast agents in the AIF and myocardial wall; these corrected concentrations should provide more accurate inputs for tracer kinetics modeling for perfusion calculations.
National Institutes of Health grant R01-HL083309.
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