- Poster presentation
- Open Access
Accelerated phase contrast measurements of fetal blood flow using compressed sensing
© Roy et al. 2016
- Published: 27 January 2016
- Congenital Heart Disease
- Compress Sense
- Total Blood Volume
- Cardiac Anatomy
- Contrast Measurement
Phase contrast (PC) MR is routinely used to quantify blood flow in postnatal subjects and through the use of metric optimized gating (MOG) has been employed in studies of fetal blood flow in both normal pregnancies and fetal congenital heart disease [1–3]. Still, the scan time required for high resolution fetal PCMR remains a practical limitation. Recently, compressed sensing (CS) has been integrated with MOG for accelerated CINE imaging of the fetal cardiac anatomy . Here we examine the feasibility of CS for reconstructing retrospectively undersampled PC MR measurements of fetal vessels.
Fully sampled PCMR data from the ascending and descending aorta were acquired in five fetal subjects (2 normal, 3 congenital heart disease). Typical fetal scan parameters where: VENC 150 cm/s, field of view 240 × 240 mm2, voxel size 1.25 × 1.25 × 5 mm3, TR/TE 6.6 ms/2.92 ms, 4 views per segment, scan time ~34 seconds. For each fully sampled data set MOG was performed to create time resolved CINE data sets which were then retrospectively undersampled (R = 2,4,6) and quantitatively compared to the fully sampled MOG data.
The feasibility of CS for reconstructing accelerated PC MR measurements of human fetal blood flow was accessed through retrospective undersampling of fully sampled MOG data. The results yielded accurate flow measurements for acceleration rates up to R=6. Further study using prospectively undersampled data is needed to evaluate this technique for clinical use.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.