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Estimation of Tumor Volume with Fuzzy-Connectedness Segmentation of MR Images

Gul Moonisa, Jianguo Liub, Jayaram K. Udupab and David B. Hackneya

a Neuroradiology Section, Department of Radiology and the Medical Image Processing Group, University of Pennsylvania Medical Center, Philadelphia
b Department of Radiology University of Pennsylvania Medical Center, Philadelphia



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  		FIG 1. Images illustrate step 2: segmentation of FLAIR images.

A, Placement of rectangular VOI around the area of presumed tumor and edema (FLAIR volume) on axial FLAIR images designated IF.

B, Delineated FLAIR volume displayed as a green overlay obtained after the deposition of seed points in the VOI.



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  		FIG 2. Images illustrate step 3: segmentation of enhancing tumor.

A, IT1, or T1-weighted axial image, demonstrates the postoperative cavity in the left frontoparietal area, with hemorrhage, edema, and possible residual tumor.

B, IT1e1, or axial image obtained after the administration of gadolinium-based contrast material, shows rim enhancement along the margins of the postoperative cavity, as well as anterior nodular enhancement. Note the overlying postoperative dural enhancement.

C, I'T1e1 - IT1, or axial image obtained after subtracting the registered, resection volume in B from the volume in A, shows that only areas in which signal intensity increased on B compared with A have high signal intensity.



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  		FIG 3. Comparison of measured volumes from T1e initial axial, coronal, and repeat axial images.





Copyright © 2009 by the American Society of Neuroradiology. Print ISSN: 0195-6108 Online ISSN: 1936-959X