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. Author manuscript; available in PMC: 2015 Jul 1.
Published in final edited form as: Med Image Anal. 2014 Apr 18;18(5):725–739. doi: 10.1016/j.media.2014.04.001

Figure 2.

Figure 2

Tumor sensitive matching flow (TSMF) for the detection and segmentation of ovarian cancer metastases. (a) A metastasis (red) attached to the liver (cyan), (b) the liver atlas (violet), and (c) TSMF results, where the magnitudes of flow vectors are mapped into the organ surface and blue to red represents small to large shape variance. The fundamental idea of the TSMF computation is to only highlight shape variance caused by metastases between the patient organ and the atlas (pointed by a red arrow in (b)), while all other shape variance due to individual difference (marked by yellow arrows) are suppressed. Metastases are thus be identified by searching for large TSMF vectors (red regions in (c)).