Blood vessels change their morphology according to various physiological and pathophysiological conditions. In the field of vascular biology, many biological mechanisms are hypothesized, however, it is very difficult task to quantify the three dimensional vascular architecture.
Our collaboration has already established the image processing method of vascular network (Arima et al., Journal of American Heart Association, 2018). The aim of our team is to establish the unique quantification method of three dimensional data.
Figure: 3D image of murine bone and vascular network in lower leg.
Associate Professor, International Research Center for Medical Sciences (IRCMS), Kumamoto University/X-Earth Center, Faculty of Engineering, Kumamoto University
Professor, Faculty of Advanced Science and Technology, Kumamoto University/X-Earth Center, Faculty of Engineering, Kumamoto University
Trustee and Vice President for Research and Global Strategy, Kumamoto University
Associate Professor
Department of Computer Science, The University of Auckland
*IROAST Visiting Professor
Arima Y, Mukunoki T, et. al., Sample Preparation for Computed Tomography-based Three-dimensional Visualization of Murine Hind-limb Vessels. J Vis Exp. 2021
(Application)
Grants-in-Aid for Scientific Research-KAKENHI- Challenging research 2022, “CT-based immunostaining”
Presentation
Yuichiro Arima, “Visualization of blood vessel microstructure by CT ~Efforts of medical-engineering collaboration~”, The 8th International Workshop on X-Ray CT Visualization for Socio-Cultural Engineering and Environmental Materials, 2021.