[image 03434] 新学術領域「第5回多元計算解剖学国際シンポジウム」(3月4~5日, 九大)

2019年 2月 25日 (月) 14:45:28 JST

メーリングリストの皆様
（重複受信の場合、ご容赦ください。）

奈良先端大の佐藤嘉伸です。

2019年 3月4日(月)～5日(火)、九州大学 コラボステーションＩ 2階 視聴覚ホールにて開催される
新学術領域「第5回多元計算解剖学国際シンポジウム」の案内をさせていただきます。

本領域は、今年度が最終年度となっており、個々の研究班の発表のみならず、領域全体の成果を
統合した多元計算解剖学シナリオセッション、領域到達点についてのパネル討論を予定しております。

Nassir Navab 先生 (TUM & JHU)、David Hawkes 先生 (UCL)、Nicholas Ayache 先生 (INRIA) の
特別講演も予定しております。

奮ってご参加いただければ幸いです。

詳しくは、以下をご覧ください。

〇多元計算解剖学ホームページ
http://wiki.tagen-compana.org/mediawiki/index.php/%E3%83%A1%E3%82%A4%E3%83%B3%E3%83%9A%E3%83%BC%E3%82%B8

〇第5回多元計算解剖学国際シンポジウム案内のページ
http://wiki.tagen-compana.org/mediawiki/index.php/%E7%AC%AC5%E5%9B%9E%E5%A4%9A%E5%85%83%E8%A8%88%E7%AE%97%E8%A7%A3%E5%89%96%E5%AD%A6%E5%9B%BD%E9%9A%9B%E3%82%B7%E3%83%B3%E3%83%9D%E3%82%B8%E3%82%A6%E3%83%A0

======== 開催概要並びにプログラム =======================================

シンポジウム正式名称
　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

日時　2019年 3月4日(月）- 3月5日(火)
場所　九州大学
http://www.med.kyushu-u.ac.jp/recnet_fukuoka/class/campus-map.pdf
http://wiki.tagen-compana.org/mediawiki/images/8/81/%E4%BC%9A%E5%A0%B4%E6%A1%88%E5%86%85.pdf

ポスター
http://wiki.tagen-compana.org/mediawiki/images/5/54/2019mcaposter.png

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特別講演

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

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.

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.

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プログラム

====== 1日目 ======
3月4日（月）　9:30 - 20:00

開会挨拶 (9:30 - 9:35)（九州大学・橋爪　誠）
学術調査官挨拶 (9:35 - 9:45)
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)

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）
招待講演Ⅱ (11:30 - 11:50) David Hawkes先生 (座長 名古屋大学・森健策）
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)

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)

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)

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)

ポスターセッション（16:00 - 16:45)

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)

ポスターセッション（17:15 - 18:00)

会員懇親会 (18:30 - 20:00)

====== 2日目 ======
3月5日 (火）　9:30 - 16:40

WGレポート (9:30 - 9:45)(座長　徳島大学・仁木登）

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ための数理手法　（10:15 - 10:45)

コーヒーブレイク(10:45 - 11:00)

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)

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 )

領域到達点・パネル討論 (14:30 - 15:30)(座長　九州大学・橋爪　誠）
諮問委員評価 (15:30 - 16:00)（座長　九州大学・橋爪　誠）

クロージング (16:00 - 16:10)

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全員懇親会

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
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