Abstract #1051
Non-Rigid-Registration of Breast Dynamic Contrast-Enhanced MRI Data: Comparison and Evaluation of B-splines and Symmetric Diffeomorphic Normalization based Methods
Venkata Veerendranadh Chebrolu 1 , Dattesh D Shanbhag 1 , Aurelie Le Deley 2 , Sheshadri Thiruvenkadam 1 , Uday Patil 1,3 , Patrice Hervo 2 , Sandeep N Gupta 4 , and Rakesh Mullick 5
1
Medical Image Analysis Lab, GE Global
Research, Bangalore, Karnataka, India,
2
GE
Healthcare, Buc, France,
3
Manipal
Health Enterprises Pvt. Ltd., Bangalore, Karnataka,
India,
4
Biomedical Image Processing Lab, GE
Global Research, Niskayuna, NY, United States,
5
Diagnostics
and Biomedical Technologies, GE Global Research,
Bangalore, Karnataka, India
DCE-MRI is increasingly being used in diagnosis and
screening of breast tumors. Careful study of intensity
changes over time between the pre-contrast and
post-contrast images is critical to tumor biometry.
Rigid and non-rigid motion may be caused by factors such
as voluntary patient motion, cardiac pulsation, and
breathing during image acquisition. In this work we
compare and evaluate b-splines and symmetric
diffeomorphic normalization based non-rigid registration
(NRR) algorithms for their effectiveness in motion
correction for breast DCE-MRI. B-splines based NRR
approaches provided consistent time performance. Better
NRR accuracy was achieved with diffeomorphic
normalization based motion correction methods.
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