Difference between revisions of "第5回多元計算解剖学国際シンポジウム"

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English page is [[The 5th International Symposium on Multi-disciplinary Computational Anatomy|here]]
English page is [[The 5th International Symposium on Multi-disciplinary Computational Anatomy|here]]
== シンポジウム名称 ==
== シンポジウム名称 ==

Latest revision as of 04:58, 26 February 2019

English page is here



  • 正式名称
    • 第5回新学術領域研究「医用画像に基づく計算解剖学の多元化と高度知能化診断・治療への展開」国際シンポジウム
  • 略称
    • 第5回多元計算解剖学国際シンポジウム


  • 2019年 3月4日(月)- 3月5日(火)


  • 九州大学 コラボステーションI 2階 視聴覚ホール




Prof.Nassir Navab.png
  • 発表者
    • Prof. Dr. Nassir Navab
    • Technical University of Munich, Department of Informatics
  • タイトル
    • Robotic Imaging, Machine Learning and Augmented Reality for Computer Assisted Interventions
  • 講演概要
    • In this talk, I will present an overview of our most recent advancements in Robotic Imaging, Machine Leaning and Medical Augmented Reality. I will first discuss the particular requirements for intra-operative imaging and visualization. I will then present some of our latest results in intra-operative multimodal robotic imaging and its translation to clinical applications. I will then discuss the impact of research advancement in machine learning on medical imaging and computer assisted intervention. I will finally present some applications of virtual and augmented reality in the medical domain. Starting by the current deployment of AR and VR technology within medical education, I discuss its current and future impact on surgical training. I will then review the first deployment of augmented reality into operating rooms in the last two decades and present some of our latest achievements in this field. IT
Prof. David Hawkes2.png
  • 発表者
    • Prof. David Hawkes
    • Center for Medical Computing, UCL
  • タイトル
    • Multidisciplinary Computational Anatomy: Cancer Detection, Surgical and Interventional Sciences
  • 講演概要
    • Professor Hawkes has been a member of the scientific advisory board of the Multidisciplinary Computational Anatomy (MCA) project since its first meeting in 2015. This has been an extremely interesting and stimulating experience with exposure to much exciting research within this broad topic from a diverse group of multi-disciplinary researchers representing many of the leading research institutes and universities in Japan. Professor Hawkes congratulates Professor Hashizume and the other investigators for developing this exciting programme. In this talk the work in the Centre for Medical Image Computing at UCL (CMIC) in cancer detection and image guided interventions will be related to Multidisciplinary Computational Anatomy. In particular the talk will show how, at UCL, activity has been pulled together into one Centre combining MCA concepts with intra-operative imaging, advanced visualisation, surgical robotics, mechanotronics and nanotechnology, all powered by the latest advances in artificial intelligence. The presentation will outline the constructive tension between technological “push” and clinical “pull” within our the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), and this is exploited. WEISS’s vision for accelerating clinical translation and commercialising advances in interventional and surgical sciences will be shared.
Prof. Nicholas Ayache.png
  • 発表者
    • Prof. Nicholas Ayache
    • INRIA Sophia Antipolis-Mediterrance
  • タイトル
    • AI & Healthcare : Towards a Digital twin?
  • 講演概要
    • The "Personalized Digital Patient" or "Digital Twin" is a digital representation of the patient's anatomy and physiology based on models whose parameters can be learnt automatically from real or simulated medical images and additional clinical, biological, behavioral, and environmental data. Advanced algorithms can then use the learnt parameters to serve the three pillars of digital medicine: computerized assistance to diagnosis, prognosis and therapy. The presentation will illustrate these points and insist on the importance of geometrical, statistical and biophysical modeling of life and imaging processes.



3月4日(月) 9:30 - 20:00

  1. 開会挨拶 (9:30 - 9:35)(九州大学・橋爪 誠)
  2. 学術調査官挨拶 (9:35 - 9:45)
  3. 領域研究概要講演 (9:45 - 10:15)(九州大学・橋爪 誠)
    コーヒーブレイク(10:15- 10:30)
  4. 招待講演Ⅰ (10:30 - 11:30) Nassir Navab先生(座長 奈良先端科学技術大学院大学・佐藤嘉伸)
  5. 招待講演Ⅱ (11:30 - 11:50) David Hawkes先生 (座長 名古屋大学・森健策)
  6. 招待講演Ⅲ (11:50 - 12:10) Nicolas Ayache先生 (座長 東京農工大学・清水昭伸)
    昼食 (12:30 - 13:45)
  7. A01活動報告(13:45 - 15:15)(座長 岐阜大学・藤田広志)
    A01計画班ポスターティーザー (13:45 - 14:00)
    • A01-1 Mathematical Foundations of Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 - (PI Hidekata Hontani)
    • A01-2 Fundamental Technologies for Integration of Multiscale Spatiotemporal Morphology in Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 - (PI Akinobu Shimizu)
    • A01-3 Fundamental Technologies for Integration of Function and Pathology in Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 - (PI Yoshinobu Sato)
    A01公募班ポスターティーザー(14:00 - 14:15)
    • A01-KB101 Multi-modal and Multi-scale Image Registration for Property Analysis of Brain Tumor -Progress Overview FY 2017-FY2018- (PI:Takashi Onishi)
    • A01-KB102 Quantitative Evaluation of Diseased Tissue by Viscoelastic Imaging System -Progress Overview FY 2017-FY2018- (PI:Mikio Suga)
    • A01-KB103 Development of a Generation Method for Local Appearance Models of Normal Organs by DCNN -Progress Overview FY 2017-FY2018- (PI:Shouhei Hanaoka)
    • A01-KB104 Application of Structured Light Illumination and Compressive Sensing to High Speed Laminar Optical Fluorescence Tomography -Progress Overview FY 2017-FY2018- (PI:Ichiro Sakuma)
    • A01-KB105 Extraction and Visualization of Cellular Morphological Features and Their Pathological Changes Using Deep Neural Network -Progress Overview FY 2017-FY2018- (PI:Yoichi Miyawaki)
    • A01-KB106 Multidisciplinary Computational Anatomical Analysis for the Change in the Cardiac Fiber Orientation at Congestive Heart Failure -Progress Overview FY 2017-FY2018- (PI:Toshiaki Akita)
    • A01-KB107 Development of Measurement Technique for 3D Deformation Field of Multiphase Structure Aiming at the Elucidation of Tumor Invasive Mechanism -Progress Overview FY 2017-FY2018- (PI:Yasuyuki Morita)
    • A01-KB108 Construction of Classyfier of Tumore Cell Types of Pancreas Cancer Based on Pathological Images Using Deep Learning -Progress Overview FY 2017-FY2018- (PI:Naoki Ono)
    • A01-KB109 The Analysis on Three-Dimensional Morphologies of Hepatic Microstructures in Hepatic Diseases -Progress Overview FY 2017-FY2018- (PI:Hiroto Shoji)
    • A01-KB110 Disorder Development Onset Prediction Based on Spatiotemporal Statistical Shape Model -Progress Overview FY 2017-FY2018- (PI:Syoji Kobashi)
    • A01-KB111 Magnetic Resonance q-Space Imaging using Generating Function and Bayesian Inference -Progress Overview FY 2017-FY2018- (PI:Eizo Umezawa)
  8. ポスターセッション(14:15 - 15:15)
    コーヒーブレイク (15:15 - 15:30)
  9. A02活動報告 (15:30 - 16:45)(座長 山口大学・木戸尚治)
    A02計画班ポスターティーザー(15:30 - 15:45)
    • A02-1 Pre/intra-operative Diagnostic and Navigational Assistance Based on Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 -(PI Kensaku Mori)
    • A02-2 Cancer Diagnosis and Prognosis Assistance Based on Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 - (PI Noboru Niki)
    • A02-3 Function Integrated Diagnostic Assistance Based on Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 - (PI Hiroshi Fujita)
    A02公募班ポスターティーザー (15:45 - 16:00)
    • A02-KB101 Brain MRI Image Analysis Technologies and Its Application to Medical Image Analysis of Alzheimer's Diseases -Progress Overview FY 2017-FY2018- (PI:Koichi Ito)
    • A02-KB102 A Machine Learning Based Framework for Developing Various Computer- assisted Detection System with Generated Image Features-Progress Overview FY 2017-FY2018- (PI:Mitsutaka Nemoto)
    • A02-KB103 Computerized Evaluation of Pulmonary Function Based on the Rib and Diaphragm Motion by Dynamic Chest Radiography-Progress Overview FY 2017-FY2018- (PI:Rie Tanaka)
    • A02-KB104 Creation of Large-scale and High-Performance Technology for Processes of Multidisciplinary Computational Anatomy by Utilizing Supercomputers -Progress Overview FY 2017-FY2018- (PI:Takahiro Katagiri)
    • A02-KB105 Ultrahigh Resolution Optical Coherence Microscopy at Visible to Near-infrared Wavelength Region -Progress Overview FY 2017-FY2018- (PI:Norihiko Nishizawa)
    • A02-KB106 Magneto-Stimulation System for Brain Based on Medical Images -Progress Overview FY 2017- (PI:Akimasa Hirata)
    • A02-KB107 Analysis of Central Nervous System and Skeletal System During Human Early-fetal Period Based on Multidisciplinary Computational Anatomy -Progress Overview FY 2017-FY2018- (PI:Tetsuya Takakuwa)
    • A02-KB108 Quantitative Evaluation of Fatty Metamorphosis and Fibrosis of Liver Based on Models of Ultrasound and Light Propagation and its Application to Hepatic Disease Diagnosis -Progress Overview FY 2017-FY2018- (PI:Tsuyoshi Shiina)
    • A02-KB109 A Computer Aided Support System for Deep Brain Stimulation by Multidisciplinary Brain Atlas Database -Progress Overview FY 2017-FY2018- (PI:Ken’ichi Morooka)
    • A02-KB110 Development of Multiple Skeletal Muscle Recognition Technique in the Thoracoabdominal Region for Respiratory Muscle Function Analysis -Progress Overview FY 2017-FY2018- (PI:Naoki Kamiya)
    • A02-KB111 Application Study on Micro-tomographic Visualization of Spatio-Temporal Mechanical Characteristics of Biological Tissue -Progress Overview FY 2017-FY2018- (PI:Souichi Saeki)
  10. ポスターセッション(16:00 - 16:45)
  11. A03活動報告(16:45 - 18:00)(座長 東京女子医科大学・小林英津子)
    A03計画班ポスターティーザー(16:45 - 17:00)
    • A03-1 Clinical Applications of Multidisciplinary Computational Anatomy to Surgery - Progress Overview FY2014-FY2018 - (PI Makoto Hashizume)
    • A03-2 Clinical Applications of Multidisciplinary Computational Anatomy to Diagnosis - Progress Overview FY2014-FY2018 - (PI Shoji Kido)
    • A03-3 Applications of Multidisciplinary Computational Anatomy across Biomedical Engineering - Progress Overview FY2014-FY2018 - (PI Etsuko Kobayashi)
    A03公募班ポスターティーザー(17:00 - 17:15)
    • A03-KB101 Development of General Biophysical Model for Realization of Ultrasonic Qualitative Real-time Pathological Diagnosis -Progress Overview FY 2017-FY2018- (PI:Tadashi Yamaguchi)
    • A03-KB102 Autonomous Control of a Surgical Assistant Robot with a Stereoscopic Endoscope That Can Obtain Depth Information in Real Time FY 2017-FY2018- (PI:Atsushi Nishikawa)
    • A03-KB103 Applications of Multidisciplinary Computational Anatomy across Biomedical Engineering -Progress Overview FY 2017-FY2018- (PI:Shingo Iwano)
    • A03-KB104 The morphometric analysis for the morphogenesis of the craniofacial structures and the evolution of the nasal protrusion in humans -Progress Overview FY 2017-FY2018- (PI:Shigehito Yamada)
    • A03-KB105 Postoperative Prediction of Pulmonary Resection Based on Multidisciplinary Computational Anatomy Model by Integrating the Temporal Responses and Biomechanical Functions -Progress Overview FY 2017-FY2018- (PI:Xian Chen)
    • A03-KB106 Development of Bone Strength Prediction Method by Using Multidisciplinary Computational Anatomy with Damage Mechanics -Progress Overview FY 2017-FY2018- (PI:Mitsugu Toda)
    • A03-KB107 Computer-aided Diagnostic System Based on Deep Learning Which Supports Endoscopists’ Decision Making on the Treatment of Colorectal Polyps -Progress Overview FY 2017-FY2018- (PI:Yuichi Mori)
    • A03-KB108 Normalized Brain Datasets with Functional Information Project the Future-predicting Glioma Surgery -Progress Overview FY 2017-FY2018- (PI:Manabu Tamura)
    • A03-KB109 Artificial intelligence based radiogenomic diagnosis of gliomas -Progress Overview FY 2017-FY2018- (PI:Manabu Kinoshita)
  12. ポスターセッション(17:15 - 18:00)
  13. 会員懇親会 (18:30 - 20:00)


3月5日 (火) 9:30 - 16:40

  1. WGレポート (9:30 - 9:45)(座長 徳島大学・仁木登)
  2. 多元計算解剖学シナリオセッション 1 (オーラルセッション)(9:45 - 10:45)(座長 広島市立大学・増谷佳孝)
    • 脳の多元計算解剖モデリング (9:45 - 10:15)
    • 多元計算解剖モデリングの為の数理手法 (10:15 - 10:45)
    休憩(10:45 - 11:00)
  3. 多元計算解剖学シナリオセッション 2 (オーラルセッション)(11:00 - 12:00)(座長 名古屋工業大学・本谷秀堅)
    • 筋骨格の多元計算解剖モデル (11:00 - 11:30)
    • 一生涯の多元計算解剖モデリング (11:30 - 12:00)
    昼食 (12:00 - 13:15)
  4. 多元計算解剖学シナリオセッション 3 (オーラルセッション)(13:15 - 14:15)(座長 名古屋大学・森健策)
    • 胸部臓器の多元計算解剖モデリング(13:15 - 13:45)
    • 腹部臓器の多元計算解剖モデリング (13:45 - 14:15)
    コーヒーブレイク(14:15 -14:30 )
  5. 領域到達点・パネル討論 (14:30 - 15:30)(座長 九州大学・橋爪 誠)
  6. 諮問委員評価 (15:30 - 16:00)(座長 九州大学・橋爪 誠)
  7. クロージング (16:00 - 16:10)


  • 日時
    • 平成31年3月4日(月)18:30~20:00
  • 場所
    • 九州大学(病院キャンパス)コラボステーションⅡ 1階コミュニティラウンジ
    • 5000円