The 5th International Symposium on Multi-disciplinary Computational Anatomy

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Name of symposium

  • Official name
    • The 5th International Symposium for Scientific Research on Innovative Areas "Multidisciplinary Computational Anatomy and Its Application to Highly Intelligent Diagnosis and Therapy"
  • Abbrev. name
    • The 5th International Symposium on Multidisciplinary Computational Anatomy


  • March 4 and 5, 2019


  • 2F Station-I for Collaborative Research Center Kyushu University



Invited talk

  • Centre for Medical Computing, UCL
  • Prof. Nicholas Ayache
Prof.Nassir Navab.png
  • Prof. Dr. Nassir Navab
  • Technical University of Munich, Department of Informatics
  • title
    • Robotic Imaging, Machine Learning and Augmented Reality for Computer Assisted Interventions
  • abstract
    • 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
  • Prof. David Hawkes
  • Center for Medical Computing, UCL
  • title
    • Multidisciplinary Computational Anatomy: Cancer Detection, Surgical and Interventional Sciences
  • abstract
    • 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
  • Prof. Nicholas Ayache
  • INRIA Sophia Antipolis-Mediterrance
  • title
    • AI & Healthcare : Towards a Digital twin?
  • abstract
    • 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.


Day 1 Monday, Mar 4, 9:30 - 20:00

  1. Opening remarks/Makoto Hashizume (Kyushu University) (9:30 - 9:35)
  2. Academic specialist's address (9:35 - 9:45)
  3. Keynote address/Makoto Hashizume (Kyushu University) (9:45 - 10:15)
    Coffee Break(10:15 - 10:30)
  4. Invited Talk : Prof. Nassir Navab (Technische Universitat Munchen)(10:30 -11:30)(Session Chair: Yoshinobu Sato, Nara Insutitute of Science and Technology)
  5. Invited Talk : Prof. David Hawks (Center for Medical Computing, UCL) (11:30 - 11:50)
  6. Invited Talk : Prof. Nicholas Ayache (INRIA) (11:50 - 12:10)
    Lunch(12:30 - 13:45)
  7. Research Activity Reports by Research Groups A01: Foundations of Multidisciplinary Computational Anatomy (13:45 - 15:15)(Session Chair: Makoto Fujita, Gifu University)
    Poster Teasers by Planned Research Groups (13:45 - 14:00)(3 teasers, 3 min each)
    • 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)
    Poster Teasers by Public Offered Research Groups(14:00 - 14:15)(11 teasers, 1 min each)
    • 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. Poster Session (14:15 - 15:15)
    Coffee Break(15:15 - 15:30)
  9. Research Activity Reports by Research Groups A02: Computer-Aided Diagnosis and Surgery Systems Based on Multidisciplinary Computational Anatomy (15:30 - 16:45)(session Chair:Shoji Kido, Yamaguchi University)
    Poster Teasers by Planned Research Groups(15:45 - 16:00)(3 teasers, 3 min each)
    • 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)
    Poster Teasers by Public Offered Research Groups(15:45 - 16:00)(11 teasers, 1 min each)
    • 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-FY2018- (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. Poster Session(16:00 - 16:45)
  11. Research Activity Reports by Research Groups A03: Clinical and Scientific Applications of Multidisciplinary Computational Anatomy (Session Chair:Etsuko Kobayashi, The University of Tokyo)(16:00 - 16:45)
    Poster teasers by Planned Research Groups (16:45 - 17:00)(3 teasers, 3 min each)
    • 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)
    Poster Teasers by Public Offered Research Groups (17:00 - 17:15)(9 teasers, 1 min each)
    • 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 Todo)
    • 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. Poster Session (17:15 - 18:00)

Day 2 Tuesday, Mar 5 9:30 - 16:40

  1. Activity Reports of Working Groups (9:30 - 9:45)(Session Chair: Noboru Niki, Tokushima University)
    Working groups for Public relations, International partnership, Human resources, Scientific principle development, Database assistance, Medical assistance
  2. MCA Senario Session 1 (9:45-10:45)(session Chair Yoshitaka Masutani, Hiroshima City University)
    • Brain MCA modeling/Yoshitaka Masutani (Hiroshima City University)(9:45 - 10:15)
    • Mathmatical methods for MCA modering /Akinobu Shimizu (Tokyo University of Agriculture and Technology)(10:15 - 10:45)
    Coffee Break (10:45 - 11:00)
  3. MCA Scenario Session 2 (11:00 - 12:00)(Session Chair: Hidekata Hontani, Nagoya Institute of Technology)
    • Musculo-skeletal MCA modeling/Yoshinobu Sato (Nara insutitute of science and technology)(11:00 - 11:30)
    • Lifetime MCA modeling/Akinobu Shimizu (Tokyo University of Aguriculture and Technology)(11:30 - 12:00)
    Lunch (12:00 - 13:15)
  4. MCA Scenario session 3 (13:15 - 14:15)(Session Chair: Kensaku Mori, Nagoya University)
    • Chest MCA modeling/ Kensaku Mori(Nagoya University)(13:15 - 13:45)
    • Abdominal MCA modeling/Hidekata Hontani (Nagoya Insutitute of Technology)(13:45 - 14:15)
    Coffee Break (14:15 - 14:30)
  5. Panel Discussion ``What is the final goal of MCA project? (14:30 - 15:30 )(Session CHair: Makoto Hashizume, Kyushu University)
  6. Final Evaluation of the Project by Advisory Committee Members Session (15:30 -16:00)
  7. Closing remarks/Makoto Hashizume (Kyushu University) (16:00-16:10)


  • Date
    • March 4, 2019 18:30 - 20:00
  • Place
    • 1F lounge Station II for Collaborative Research Center Kyushu University