第15回 科研費新学術領域「多元計算解剖学」セミナー

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  • 日時
    • 2015年9月15日(火)13:00~13:50
  • 場所
    • 奈良先端 科学技術大学院大学・情報科学研究科・L2 講義室
    • アクセスマップ : http://www.naist.jp/accessmap/index_j.html
    • キャンパスマップ: http://www.naist.jp/campusmap/index_j.html          
      ※会場はキャンパスマップ8番の建物の1階となります。玄関を入って左方向へ進んで行き、右へ曲がって下さい。
      お車でご来場の方は、キャンパスマップの「公営駐車場」(1日300円)へ駐車下さい。正門ではなく、その上のコインパーキングゲートよりご入 構ください。
  • 演題
    • タイトル
      Medical image analysis, modelling and simulation for computer-assisted therapy
    • 演者
      Prof. Miguel A.Gonzalez Ballester (Research Professor, Universitat Pompeu Fabra, Barcelona, Spain)
      http://www.upf.edu/dtic/en/faculty/gonzalez.html
    • Biography
      Prof. Miguel A. Gonzalez Ballester holds a Computer Engineering degree from Universitat Jaume I, Spain,and a doctoral degree from the University of Oxford, UK (2000). His doctorate, under supervision of Sir Michael Brady and Prof. Andrew Zisserman, focused on the analysis of brain MRI data for multiple sclerosis and schizophrenia. He was awarded the prestigious Toshiba Research Fellowship and worked for two years as a senior researcher at Toshiba Medical Systems Japan, where he developed novel, patented systems for MRI parallel imaging. In late 2001 he obtained a faculty position at INRIA (Sophia Antipolis, France), where he led research projects on medical image analysis and mathematical modelling. In 2004 he joined the University of Bern (Switzerland), as head of the medical image analysis group, and later became head of the surgical technology division, working on medical image analysis, computer-assisted surgery, and surgical robotics. From 2008 he was in charge of the Research Department at the company Alma IT Systems S.L. in Barcelona (Spain), leading the development of software for diagnosis and surgical planning. In October 2013 he was awarded an ICREA Senior Research Professorship, and joined the Department of Information and Communication Technologies at Universitat Pompeu Fabra.
    •  アブストラクト
      Modern medical imaging technologies make it possible to explore the human body in a multitude of ways, depicting anatomy, metabolic function and pathological processes. Innovations in medical imaging have been paralleled by the development of computer-based image processing methods to automatically detect and diagnose pathologies, quantify disease progression and assess possible risks and complications when planning a surgical intervention. Computer support for treatment planning is not limited to image processing (filtering, segmentation, registration), but also includes artificial intelligence (machine learning, decision support systems), mathematical and computational models (finite element simulations) and hardware (tracking and guidance systems, mechatronic and robotic tools). All these tools can be combined to assist in diagnosis and treatment and guide the surgeon in the operating room. In this talk, we will see examples of these techniques applied to orthopaedics, heart failure, neurodegenerative diseases, cochlear implants and foetal surgery.