Abstract #4494

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

Snekha Thakran¹, Subhajit Chatterjee^1,2,3, Dinil Sasi¹, Ayan Debnath^1,4, Rupsa Bhattacharjee¹, Rakesh Kumar Gupta⁵, and Anup Singh^1,6

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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