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Abstract #4494

Impact of registration on multi-parametric breast MRI data and parameters: Qualitative and Quantitative Assessment

Snekha Thakran1, Subhajit Chatterjee1,2,3, Dinil Sasi1, Ayan Debnath1,4, Rupsa Bhattacharjee1, Rakesh Kumar Gupta5, and Anup Singh1,6

1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi, India, 3C-DOT India, Delhi, India, 4Center for Magnetic Resonance & Optical Imaging, University of Pennsylvania, Philadelphia, PA, PA, United States, 5Department of Radiology, Fortis Memorial Research Institute, Gurgaon, Haryana, New Delhi, India, 6Department of Biomedical Engineering, All India Institute of Medical Science, New Delhi, India

Multi-parametric(mp)-MRI data such as conventional MRI, DCE-MRI, DWI, etc. are routinely acquired for breast cancer patients. Any motion during mp-MRI data acquisition can affect qualitative as well as quantitative mp-MRI results. In this study, impact of registration on mp-MRI data as well as on quantitative parameters was evaluated qualitatively and quantitatively. Study included mp-MRI data of 40 patients with breast cancer. B-spline based registration performed better than Affine and SyN. It showed highest dice-coefficient, correlation coefficient. It also provided better histograms of quantitative maps and provided lowest sum-of-squared error in signal-intensity curves from ROI at edge and center of lesion.

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