Abstract #3804

Method for Automatic blood vessel removal from quantitative T1-perfusion MRI maps and evaluating its impact on tumor grading

Manish Awasthi¹, Bansmita Kar¹, Neha Vats¹, Virendra Kumar Yadav¹, Dinil Sasi¹, Mamta Gupta², Rakesh Kumar Gupta², and Anup Singh^1,3

¹Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India, ²Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, ³Biomedical Engineering, All India Institute of Medical Science, Delhi, New Delhi, India

Presence of large blood vessels within tumor region can mislead interpretation on quantitative T1-perfusion MRI, particularly using automatic classification approaches. Purpose of this study was to develop a methodology for automatic blood vessel removal from quantitative T1-perfusion maps, compare it with previously reported methodology and finally evaluating impact of blood-vessel removal on tumor grading. In the proposed approach, signal intensity time curves characteristics, particularly contrast wash-out rate and peak value provided accurate automatic removal of blood-vessel from tumor region. Significant differences between T1-perfusion maps with and without blood-vessel removal were observed and tumor grading were also influenced.

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