Abstract #2681

Influence of Parameter Optimization and Segmentation on the Accuracy of Various Registration Approaches for Multi-parametric 3D Breast MRI Data

Subhajit Chatterjee^1,2,3, Snekha Thakran¹, Rakesh Kumar Gupta⁴, and Anup Singh^1,5

¹Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, ²C-DOT India, New Delhi, India, ³Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi, India, ⁴Department of Radiology, Fortis Memorial Research Institute, Gurgaon, India, New Delh, India, ⁵Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India

Registration of human Breast MRI images is challenging due to its elastic deformable nature. In this study, various existing rigid and non-rigid registration methods were evaluated and compared in terms of accuracy and computation time. This work investigated influence of different registration parameters and showed possible ways to achieve better registration results. Experiential result revealed that the combination of Affine and B-spline method provided more time efficiency and accuracy than other methods.

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