Takuma Kawamura

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In recent years, there is an increase in the number of people that require support during walking as a result of a decrease in the leg muscle strength accompanying aging. An important index for evaluating walking ability is step length. A key cause for a decrease in step length is the loss of muscle strength in the legs. Many researchers have designed and(More)
In this paper, we propose a novel transfer function design technique for multivariate volume rendering. This technique generates a multidimensional transfer function by logical synthesis of variables and transfer functions. This technique enables analysts to extract correlation of variables and to combine multivariate surface and volume shapes. And this(More)
The Petaflow project aims to contribute to the use of high performance computational resources to the benefit of society. To this goal the emergence of adequate information and communication technologies with respect to high performance computing-networking-visualisation and their mutual awareness is required. The developed technology and algorithms will be(More)
1. Purpose We report here on the competition held at the annual conference of the Japan Society of Computer Aided Diagnosis of Medical Images. The purpose of the competition is to boost the development of computer-aided diagnosis systems for three dimensional (3D) CT images of liver in an effort to improve the detection of hepatic cellular carcinoma (HCC).(More)
In this paper, we present a sorting-free technique for volume rendering of an irregular volume dataset. Although the importance of our particle-based volume rendering is widely recognized, its low image quality has been pointed out. Especially when the viewing point is located near the volume dataset, the footprint of the particle may be visible. To solve(More)
In this article, we propose a technique for improving the image quality of particle-based volume rendering (PBVR). A large-scale unstructured volume dataset often contains multiple sub-volumes, which cannot be ordered by visibility. PBVR can handle this type of volume dataset. Sampling misses often occur when the transfer function undergoes drastic changes,(More)
In this paper, we evaluate the quality of images which are generated by using our particle-based volume rendering (PBVR) technique. We develop a technique for generating an image which is equivalent to a volume ray-casting image in the PBVR. First, we calculate a particle density from a transfer function and a length of the ray segment, both of which are(More)