2016  The International Conference on Life

Sciences and Biological Engineering

February 01-03, Fukuoka, Japan



Keynote Speech

Topics:
3D image registration for simulation on surgery

Speaker:

Hyoungseop Kim

Professor

Kyushu Institute of technology, Japan

Department of Mechanical and Control Engineering

Summary of Keynote Speech

Image registration is an important and a fundamental task in computer vision and image processing field. For example, to make a surgical plan for head operation, the surgeons should gain more detailed information from CT angiography (CTA) and MR angiography (MRA) images. And the abnormalities can be easily detected from the fusion image which is obtained from two different modalities. One of the multiple modal image registration methods is matching the CTA and MRA, by which the image of head vascular could be enhanced. In general, the procedure for fusion is completed manually. It is time-consuming and subjective. Particularly the anatomical knowledge is required as well. Therefore, the development of automatic registration methods is expected in medical fields. We propose a new automatic image registration technique for image fusion of head CT (Computed Tomography) and MR (Magnetic resonance) images. In experiments, we performed our proposed method for registration on five sets of CTA and MRA images and a better result from our previous method is obtained.


About the Speaker

Hyoungseop Kim received his B.A. degree in electrical engineering from Kyushu Institute of Technology in 1994, the Masters and Ph.D. degree from Kyushu Institute of Technology in 1996 and 2001, respectively. He is a professor in the department of control engineering at Kyushu Institute of Technology. His research interests are focused on medical application of image analysis. He is currently working on automatic segmentation of multi-organ of abdominal CT image, non-rigid image registration for head CT and MRI, and temporal subtraction of thoracic MDCT image sets.

Program

201602 Fukuoka Conference Program


Online Submission

Important Dates

Submission Deadline
January 10, 2020

Notification of Acceptance
from December 24, 2019

Registration & Payment Deadline
January 22, 2020

Conference Date


Contact & Inquiry

APLSBE Secretariat