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The iterative image foresting transform and its application to user-steered 3D segmentation
Proc. SPIE 5032, 1464 (2003); http://dx.doi.org/10.1117/12.480303
Monday 17 February 2003
San Diego, CA, USA
Medical Imaging 2003: Image Processing
Milan Sonka, J. Michael Fitzpatrick
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Add to FacebookSegmentation and 3D visualization at interactive speeds are highlydesirable for routine use in clinical settings. We circumvent thisproblem in the framework of the image foresting transform(IFT) - a graph-based approach to the design of image processingoperators. In this paper we introduce the iterative imageforesting transform (IFT+), which computes sequences of IFTs in a differencial way, present the general IFT+ algorithm, and instantiate it to be a watershed transform. The IFT+-watershed transform is evaluated in the context of interactive segmentation, where the user makes corrections by adding/removing scene regions with mouse clicks. The IFT+-watershed requires time proportional to the number of voxels in the modified regions, while the conventional algorithm computes one watershed transform over the entire scene for each iteration. The IFT+-watershed is 5.75 times faster than the watershed and considerably reduces from 17.7 to 3.16 seconds the user's waiting time in segmentation with 3D visualization. These results were obtained in an 1.5GHz Pentium-IV PC over 10 MR scenes of the head, requiring 12 to 28 corrections to segment cerebellum, pons-medulla, ventricle, and the rest of the brain, simultaneously. These results indicate that the IFT+ is a significant contribution toward interactive segmentation and 3D visualization.
© 2003 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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Online Jul 30, 2003
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Alexandre X. Falcao and Felipe P. G. Bergo, "The iterative image foresting transform and its application to user-steered 3D segmentation",
Proc. SPIE 5032, 1464 (2003); http://dx.doi.org/10.1117/12.480303
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