Abstract #0523
Reducing respiratory motion artifacts in fast 2D dynamic contrast enhanced MRI in liver using structural similarity
E.G.W. ter Voert 1 , L. Heijmen 2 , C.J.A. Punt 3 , J.H.W. de Wilt 4 , H.W.M. van Laarhoven 2,3 , and A. Heerschap 1
1
Radiology, Radboud University Medical
Centre, Nijmegen, Gelderland, Netherlands,
2
Medical
Oncology, Radboud University Medical Centre, Nijmegen,
Gelderland, Netherlands,
3
Medical
Oncology, Academic Medical Center, University of
Amsterdam, Amsterdam, Noord-Holland, Netherlands,
4
Surgery,
Radboud University Medical Centre, Nijmegen, Gelderland,
Netherlands
Reproducibility of dynamic contrast enhanced MRI (DCE-MRI)
in tumors in the liver is hampered by respiratory and
cardiac motion. The aim of this study was to implement
and apply a structural similarity algorithm (SSIM) in
the post-processing of high-temporal-resolution 2D DCE-MRI
data to correct for movement artifacts. The implemented
SSIM algorithm compares the images from the dynamic
series with reference images and based on the returned
index values it rejects motion corrupted time points.
The application of SSIM was tested in 15 patients and it
substantially improved the reproducibility of the DCE-MRI
pharmacokinetic modeling (Tofts model) parameter K
trans
in
the liver.
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