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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Magn Reson Med. 2017 Jul 20;79(3):1736–1744. doi: 10.1002/mrm.26822

Figure 2. Processing steps for DCE-MRI data analysis. (Data; Masks).

Figure 2

Processed DCE-MRI images and manually contoured tumor region of interest (ROI) are up-loaded to the program. A representative example (HEK #1) showing the 1H MR images of the 5 tumor slices overlaid (white line) with the manually outlined tumor region (ROI) in each slice (arrows); (S0) Automatic determination of the time point of contrast agent arrival at tumor from an average signal-versus-time curve over tumor slice ROI; (PCA) Automatic determination of the number of patterns (NPs) using Principal Component Analysis (PCA); (cNMF) Automatic assignment of ROI pixels to constrained Non-negative Matrix Factorization (cNMF) pattern or pattern mixture. Note that three out of the four steps underwent automation.