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. Author manuscript; available in PMC: 2018 Dec 18.
Published in final edited form as: Cancer Res. 2018 Jan 9;78(7):1859–1872. doi: 10.1158/0008-5472.CAN-17-1546

Figure 3.

Figure 3

Example convection-MRI data sets (both raw image data and processed image data) in two example LS174T tumor xenografts: representative magnitude (a, h) and phase (b, i) images; maps of the change in phase with velocity-encoding gradients applied in vertical (readout) (c, j) and horizontal (phase-encoding) (d, k) directions. Velocity vector maps (e, l) show the direction of fluid transport through the tumor interstitium, which is better visualised using a streamlining algorithm (f, m) to connect pathways of coherent fluid convection (bottom row, colored arrows). Streamlines are color-coded to reflect the local fluid speed, which is also represented in histograms (g, n).