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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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