2021-PLENARY SPEAKER

Prof. Hiroyuki Kudo, University of Tsukuba, Japan

Speech Title: Image Reconstruction for Sparse-View CT and Interior CT (Click for abstract)

Biography: In March 1990. Hiroyuki Kudo received his doctoral degree in electrical and communication engineering from the Tohoku University, Japan. Since then, he has worked at the Tohoku University for 2 years, and then at the University of Tsukuba for 28 years. Currently, he is a Professor at Faculty of Engineering, Information and Systems, the University of Tsukuba, Japan. His scientific interests include medical image analysis, image reconstruction for medical tomography devices such as Computed Tomography (CT) and Positron Emission Tomography (PET), and computer-aided-diagnosis. In particular, he spent a long time of his research career to develop advanced image reconstruction methods in tomography. Most of his research results have been published in top journals in this research field such as Physics in Medicine and Biology and IEEE Transactions on Medical Imaging.

Furthermore, his papers have been cited 4,000 times in Google Scholar and 2,000 times in Web of Science, in total. In the past, he has served as a scientific or program committee member for the International Meeting on Fully 3-D Image Reconstruction in Radiology and Nuclear Medicine (Fully 3-D Meeting), the International Meeting on Image Formation in X-Ray Computed Tomography (CT Meeting), and the IEEE Medical Imaging Conference. He was a co-chair of the Eighth Fully 3-D meeting in 2005. He has also been serving as an Editor in Chief of the Journal Medical Imaging Technology (MIT), and worked as a Guest Editor for IEEE Transactions on Medical Imaging. He received best paper awards more than 10 times from several international and domestic journals by his papers on advanced tomographic image reconstruction methodologies. He received the IEICE (The Institute of Electronics, Information, and Communication Engineers, Japan) Fellow award for his contributions on "cross-sectional image reconstruction methods in medical computed tomography". In 2018, he obtained Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology for his contributions on "research on design method and image reconstruction method for new CT", which is one of highest awards on science and technology in Japan.

 

 

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