- Poster presentation
- Open Access
Robust free-breathing SASHA T1 mapping using high-contrast image-based registration
© Chow et al. 2016
- Published: 27 January 2016
- Image Registration
- Primary Image
- Variable Flip Angle
- Respiratory Navigator
- Tukey Correction
Myocardial T1 correlates with fibrosis, but detection of sub-clinical disease requires accurate and precise T1 measurements, which are limited in breath-hold (BH) techniques. Navigator-gating (NAV) enables longer free-breathing (FB) acquisitions, but residual cardiac motion causes blurring without image registration. Variable flip angle (VFA) SASHA's  high accuracy and independent image acquisitions are well suited to this approach, however poor blood-tissue contrast makes accurate image registration difficult. We present a novel technique to generate high-contrast (HC) images to improve registration, enabling robust FB T1 mapping.
14 healthy subjects were imaged on a 1.5T Siemens Avanto scanner. BH data was acquired with one non-saturated image and 10 TS images and FB data with 7-10 non-sat images separated by >5 seconds and 27-30 TS images for a total acquisition time of ~90 seconds. HC T1 maps were calculated using 50% of images selected automatically using an image based algorithm and registered using ANTs  with both the difference (Fig. 1) and primary images. NAV T1 maps were also calculated using images from these sets within a ± 3 mm window of a respiratory navigator. All T1 maps were calculated using a 2-parameter model, and the mean and coefficients of variation (COV) of myocardial T1 was determined. NAV and HC T1 maps were ranked by a blinded observer for myocardial border sharpness. Means and COVs were compared between the 3 techniques using repeated measures ANOVA with Tukey correction.
A HC "key-hole" image can be acquired with <50 ms of additional data and used to improve image-registration. High-contrast SASHA is a robust approach to free-breathing T1 mapping, with HC T1 maps scoring sharper than navigator maps in 93% of cases and having 29% lower variability.
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