Abstract #2445
Adaptive Registration of Varying Contrast-Weighted Images for Improved Tissue Characterization (ARCTIC): Application to T 1 mapping
Sbastien Roujol 1 , Murilo Foppa 1 , Sebastian Weingrtner 1,2 , Warren J. Manning 1,3 , and Reza Nezafat 1
1
Department of Medicine, Beth Israel
Deaconess Medical Center / Harvard Medical School,
Boston, MA, United States,
2
Computer
Assisted Clinical Medicine, University Medical Center
Mannheim, Heidelberg University, Mannheim, Germany,
3
Department
of Radiology, Beth Israel Deaconess Medical Center /
Harvard Medical School, Boston, MA, United States
Quantitative myocardial T
1
mapping
is commonly performed using a breath-hold ECG-triggered
acquisition. Despite breath-hold instructions, motion is
observed in ~50% of patients due to diaphragmatic drift
and the patients limited breath-holding capability.
Registration of each T
1
-weighted image can be
performed to reduce motion artifacts in T
1
maps
but remains challenging due to the high intensity
variations among T
1
weighted
images. In this study we propose a novel non-rigid
motion correction approach for improved T
1
mapping.
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