Medical imaging is one of the major fields in the multi-disciplinary curriculum of biomedical engineering (BME). Biomedical engineers from different backgrounds need to understand biology in order to be able to develop effective equipment to improve healthcare diagnosis through medical images. Visualization tools are important in the learning process to improve biomedical engineer's understanding of medical imagery. In this work, we design a web-based 3D medical image visualization framework that can be used to improve medical image understanding in biology and anatomy. Our proposed framework provides not only 3D visualization, but also 3D reconstruction for medical images. This paper describes the design framework and the technology integration, as well as the implementation details. The developed system has been used as an educational tool prototype in a BME department. In order to evaluate the tool's usability, we tested it with BME students as well as doctors. We compared a conventional 2D visualization application and our proposed method with regard to system efficiency and user satisfaction. The 3D system generally demonstrated better performance and a higher level of satisfaction. The students were able to use our 3D tool to study 2D images effectively without prior background knowledge in anatomy. ß

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Kawaii" is a Japanese word that represents an emotional value; it has positive meanings, such as cute, lovable, and small. In the 21 st century, the emotional values of industrial products become very important. However, since not many studies have focused on the kawaii attributes, we focus on a systematic analysis of kawaii products themselves, that is kawaii feelings caused by the attributes such as shapes, colors, and materials. We have already performed some experiments for abstract objects in virtual environment and obtained some interesting tendencies on kawaii attributes such as kawaii shapes and kawaii colors. This article introduces our trial that dealt with combinations of attributes, including colors and patterns, and applied them to an actual product, a ribbon, using a web questionnaire system. From analysis of the questionnaire results, we compared the selection tendencies of kawaii ribbons by genders and generation of Japanese.

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