Xiaoxi Liu1, Shuyu Tang1,2, Xucheng Zhu1,3, and Peder E.Z. Larson1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2HeartVista, Inc., Los Altos, CA, United States, 3GE Healthcare, Sunnyvale, CA, United States
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2HeartVista, Inc., Los Altos, CA, United States, 3GE Healthcare, Sunnyvale, CA, United States
In this project, we investigated two off-resonance correction methods with self-estimated field maps to correct off-resonance effect in Hyperpolarized 13C data with spiral readout. We also compared two correction methods by applying them on different anatomies.
Flowcharts
of (a) the auto-focusing correction method and (b) time-segmented NUFFT correction
with self-estimated field map method.
Reconstruction
results of brain data with pyruvate signal. The images are processed (a)
without off-resonance correction, (b) auto-focusing correction, and (c)
iterative NUFFT with self-estimated field map correction. We compared dynamic
images at five time points and area-under-the-curve (AUC) images. The green
arrows show the comparison between different methods and illustrate method(c)
has better correction performance. A line profile is chosen for intensity
comparison.
