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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 Singh1,3
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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