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Multidisciplinary Computational Anatomy

Toward Integration of Artificial Intelligence with MCA-based Medicine

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  • © 2022

Overview

Editors:
  1. Makoto Hashizume

    1. Professor Emeritus, Kyushu University, Fukuoka, Japan

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  • Improves our understanding of the human body by combining medical image processing, mathematical analysis and artificial intelligence
  • All chapters were written by respected specialists and feature abundant color illustrations
  • Will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing and biomedical engineering

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Table of contents (53 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Introduction: Perspectives Toward MCA-Based Medicine

    1. Front Matter

      Pages 1-1
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    2. From Geometric Models to AI in Computer-Assisted Interventions

      • David J. Hawkes
      Pages 3-9

  3. Basic Principles of MCA: Fundamental Theories and Techniques

    1. Front Matter

      Pages 11-11
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    2. A Concept of Multidisciplinary Computational Anatomy (MCA)

      • Yoshitaka Masutani
      Pages 13-16

    3. Construction of Multi-Resolution Model of Pancreas Tumor

      • Hidekata Hontani, Tomoshige Shimomura, Tatsuya Yokota, Mauricio Kugler, Tomonari Sei, Chika Iwamoto et al.
      Pages 17-26

    4. Fundamental Technologies for Integration of Multiscale Spatiotemporal Morphology in MCA

      • Akinobu Shimizu, Naoki Kobayashi, Hayaru Shouno
      Pages 27-34

    5. Fundamental Technologies for Integration and Pathology in MCA

      • Yoshinobu Sato, Yoshito Otake
      Pages 35-41

  4. Basic Principles of MCA: Application Systems and Applied Techniques Based on MCA Model

    1. Front Matter

      Pages 43-43
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    2. Pre-/Intra-operative Diagnostic and Navigational Assistance Based on Multidisciplinary Computational Anatomy

      • Kensaku Mori
      Pages 45-55

    3. Cancer Diagnosis and Prognosis Assistance Based on MCA

      • Noboru Niki, Yoshiki Kawata, Hidenobu Suzuki, Mikio Matsuhiro, Kurumi Saito
      Pages 57-66

    4. Function Integrated Diagnostic Assistance Based on MCA Models

      • Hiroshi Fujita, Takeshi Hara, Xiangrong Zhou, Atsushi Teramoto, Naoki Kamiya, Daisuke Fukuoka et al.
      Pages 67-77

  5. Basic Principles of MCA: Clinical and Scientific Application of MCA

    1. Front Matter

      Pages 79-79
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    2. Clinical Applications of MCA to Surgery

      • Kenoki Ohuchida, Chika Iwamoto, Makoto Hashizume
      Pages 81-87

    3. Clinical Applications of MCA to Diagnosis

      • Shoji Kido, Shingo Mabu, Tohru Kamiya, Yasushi Hirano, Rie Tachibana, Kunihiro Inai
      Pages 89-96

    4. Application of MCA across Biomedical Engineering

      • Etsuko Kobayashi, Qingchuan Ma, Daeyoung Kim, Kazuaki Hara, Junchen Wang, Ken Masamune
      Pages 97-104

  6. New Frontier of Technology in Clinical Applications Based on MCA Models: Lifelong Human Growth

    1. Front Matter

      Pages 105-105
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    2. Three-Dimensional Analyses of Human Organogenesis

      • Tetsuya Takakuwa
      Pages 107-112

    3. Skeletal System Analysis during the Human Embryonic Period Based on MCA

      • Tetsuya Takakuwa
      Pages 113-119

    4. MCA-Based Embryology and Embryo Imaging

      • Shiori Nakano, Ryota Kodama, Yutaka Yamaguchi, Tetsuya Takakuwa, Shigehito Yamada
      Pages 121-130
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Keywords

About this book

This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. 


Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written byrespected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.

Editors and Affiliations

  • Professor Emeritus, Kyushu University, Fukuoka, Japan

    Makoto Hashizume

About the editor

Dr. Makoto Hashizume, MD, PhD, FACS, is a general surgeon who graduated at Kyushu University School of Medicine in 1979 and finished residency at General Surgery II, Kyushu University Hospital. Dr. Hashizume obtained his PhD in 1984 from Graduate School of Medical Sciences, Kyushu University. He was promoted to professor and chairman, Department of Disaster and Emergency Medicine, Faculty of Medical Sciences, Kyushu University, in 1999. He was awarded the title of distinguished professor in 2014 and the title of professor emeritus in 2018. Dr. Hashizume is now an executive director of Kitakyushu Koga Hospital in Japan.




Bibliographic Information

  • Book Title: Multidisciplinary Computational Anatomy

  • Book Subtitle: Toward Integration of Artificial Intelligence with MCA-based Medicine

  • Editors: Makoto Hashizume

  • DOI: https://doi.org/10.1007/978-981-16-4325-5

  • Publisher: Springer Singapore

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-4324-8Published: 02 December 2021

  • Softcover ISBN: 978-981-16-4327-9Published: 03 December 2022

  • eBook ISBN: 978-981-16-4325-5Published: 30 November 2021

  • Edition Number: 1

  • Number of Pages: XV, 398

  • Number of Illustrations: 26 b/w illustrations, 228 illustrations in colour

  • Topics: Health Informatics, Anatomy, Imaging / Radiology, Biomedical Engineering/Biotechnology, Minimally Invasive Surgery

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