Abstract #3666
Automated Detection of the Arterial Phase in TRACER Reconstructed Dynamic 3D Contrast Enhanced Liver Imaging
Mitchell Anthony Cooper 1,2 , Bo Xu 1 , Shan Hu 2 , Silvina Dutruel 2 , Martin R. Prince 2 , Yi Wang 1 , and Pascal Spincemaille 2
1
Biomedical Engineering, Cornell University,
Ithaca, New York, United States,
2
Radiology,
Weill Cornell Medical College, New York, New York,
United States
Capturing the arterial phase is crucial for the optimal
detection and characterization of liver tumors using
dynamic contrast enhanced imaging. Recently, TRACER, a
method for high temporal liver imaging was proposed
which uses a spiral readout in conjunction with a
non-linear reconstruction to reconstruct 3D images with
a sub-second temporal frame rate. It was demonstrated
that this reconstruction increased the likelihood of
capturing the arterial phase after bolus injection.
However, the reader is now presented with a large number
of images Here we adapt a previously proposed algorithm
to automatically select the optimal arterial phase from
a series of 3D dynamic contrast enhanced hepatic images
reconstructed with TRACER
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