Kyushu University Academic Staff Educational and Research Activities Database
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Ryoma Bise Last modified date:2018.06.11



Graduate School
Undergraduate School
Other Organization
Other


E-Mail
Homepage
http://human.ait.kyushu-u.ac.jp/~bise/index-en.html
my website .
Phone
092-802-3574
Fax
092-802-3600
Academic Degree
Interdisciplinary Information Studies
Field of Specialization
Computer Vision, Bio medical image analysis, bio image informatics, pattern recognition
Research
Research Interests
  • Computer Vision, Bioimage informatics, Biomedical Image Analysis, Pattern Recognition, Image recoginition, Image processing
    keyword : Computer Vision, Bioimage informatics, Biomedical Image Analysis, Pattern Recognition, Image recoginition, Image processing
    2017.04~2019.03.
Current and Past Project
  • In the biological research, cell and molecular level biological phenomena is observed as 2D and 4D(3D+time) images by new imaging technologies to elucidate the principle of biological phenomena. In such research, quantification and data analysis technologies for the biological images captured in a state similar to in vivo are important. However, in vivo, observation targets such as cells and molecules are distributed in a high density. This makes it difficult to quantify the metrics of behaviors and shapes from such images, and this is critical in biological research.
    In this research, we are developing multi-object tracking methods for realizing robustness and versatility in high density, and we will apply the tracking methods and data analysis techniques to analyze the behaviors of cells and molecules. This makes the objective data analysis and scale up to big data easy. We believe that this will contribute to innovation in the biological field.
  • With the arrival of super-aging society, there is increasing demand for technical support to enable people to continue working while preserving their health and beauty. NII has participated in ImPACT to realize an early diagnosis of disease, and inspection of the internal structure, with advances in photo-acoustic imaging, which performs real-time 3D visualization of changes in properties and functions inside human bodies and substances, non-invasively and non-destructively. The photo-acoustic system is a promising new technology that integrates state-of-the-art laser and ultrasound technologies, where 3D structures of objects can be reconstructed by sensing emitted ultrasound from the objects that absorb near-infrared irradiation. It enables to image the state of the human body and objects whose insides are not visible, non-invasively and non-destructively. In this research, we develop computer-vision technologies to obtain clear images and extract bio-image features to support a diagnosis. For example, we proposed a registration method to generate high-quality 3D volumes in which vessels become clearly visible by aligning shot-volumes that are misaligned by body motions. We are also developing a technology that automatically models vascular structures, which helps in understanding blood vessel conditions strongly related to illnesses.
Academic Activities
Membership in Academic Society
  • Information Processing Society of Japan
  • IEEE