Abstract #2367
Noise reduction in CP-SSFP myocardial BOLD images: deformable image registration and temporal averaging
Syue-Yu Jhang 1 and Teng-Yi Huang 1
1
National Taiwan University of Science and
Technology, Taipei, Taiwan
Cardiac phase (CP)-resolved steady-state free-precession
(CP-SSFP) imaging has been shown able to detect
myocardial blood oxygen level-dependent (BOLD) signal
changes under pharmacological stress and myocardial
ischemia at rest. However, the noise level of images
affects the reliability and sensitivity of the BOLD
contrast obtained by using CP-SSFP. This study aims to
combine an automatic cardiac-phase detection, deformable
image registration and temporal averaging to improve
quality of CP-SSFP cardiac images. The proposed method
significantly increased CNRs of the images acquired
during both systole and diastole and could be a
practical tool for CP-SSFP-based myocardial BOLD
applications.
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