Geumgang University

In this paper, we propose an efficient and effective semi-automatic segmentation framework for knee cartilage in longitudinal MR images. The proposed method provides a seamless and efficient combination of initial automatic segmentation and interactive segmentation. The main idea is to generate and transfer the seeds, rather than the labels, of the manual segmentation results of the initial image, to segment sequential images. Here, segmentation seeds are defined as sample voxels that are highly likely to be either the organ of interest or background. Similar to user annotations by scribbles, seeds can be used to determine labels for remaining voxels. Compared to methods that transfer segmentation labels, the proposed method is able to reduce the amount of required user annotations, since it does not require the user to identify and correct erroneous regions in the transferred segmentation labels, while still providing a robust initial segmentation based on transferred initial seeds. We evaluate the effectiveness of the proposed framework by measuring the interaction time of the user to segment the cartilage within the images. We compare the results with previous methods and show that the proposed method reduces the required interaction time.

In order to secure the compatibility of eBook viewers based on EPUB 3.0, IDPF launched an open project of Readium in February 2012, which supports the standard platform for eBook viewers and the related SDK that can be implemented on different OSs. The current EPUB standard, however, does not provide DRM standards to protect eBook copyrights. Therefore, the compatibility of Readium SDK cannot be secured. Even though the Readium project has tried to design a standard reference software in order to apply DRM independently of EPUB standards, it still does not definitely solve compatibility problems of plural DRMs. This paper suggests a compatibility model based on Readium SDK and ContentMudule technology, in which eBook viewers can work together with plural DRM technology.