Multidisciplinary Computational Anatomy: Toward Integration of Artificial Intelligence with MCA-based Medicine

ISBN-13: 9789811643279 / Angielski / Miękka / 2022 / 398 str.

Makoto Hashizume

Opis

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 by respected 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.

Spis treści

1 Introduction

I: Perspectives of MCA

2 MCA: cancer detection, surgical and interventional sciences

3 AI & Healthcare: Towards a digital twin?

4 Perspectives of MCA

II: Fundamental Theories and Techniques

5 Principle of MCA

6 Mathematical foundations of MCA

7 Fundamental technologies for integration of multiscale spatiotemporal morphology in MCA

8 Fundamental technology for integration of function and pathology in MCA

III: Application Systems and Applied techniques based on MCA model

9 Pre/intra-operative diagnosis and navigational assistance based on MCA

10 Cancer diagnosis and prognosis assistance based on MCA

11 Function integrated diagnostic assistance based on MCA models

IV: Clinical and scientific Application of MCA

12 Clinical applications of MCA to surgery

13 Clinical applications of MCA to diagnosis

14 Application of MCA across biomedical engineering

V: New frontier in fundamentals on MCA models

15 Multi-modal and multi-scale image registration for property analysis of brain tumor

16 Quantitative evaluation of diseased tissue by viscoelastic imaging systems

17 Development of a generation method for local appearance models of normal organs by DCNN

18 Application of structured light illumination and compressed sensing to high speed laminar optical fluorescence tomography

19 MCA analysis for the change in the cardiac fiber orientation at congestive heart failure

20 Development of measurement technique for 3D deformation field of multiphase structure aiming at the elucidation of tumour invasive mechanism

21 Three-dimensional analysis at human organogenesis

22 Construction of classifier of tumore cell types of pancreas cancer based on pathological images using deep learning

23 Analysis on three-dimensional morphologies of hepatic microstructures in hepatic disease

24 Disorder development onset prediction based on spatiotemporal statistical shape model

25 Developmental disorder and risk evaluation by modeling

26 Magnetic resonance Q-space imaging using generating function and Bayesian inference

27 Supermodeling in analysis for multidisciplinary medical data

VI: New frontier of CAD (computer-aided diagnosis) and CAS (computer-aided surgery) systems based on MCA models

28 Brain MRI image analysis technologies and its application to medical image analysis of Alzheimer’s diseases

29 A machine learning based framework for developing various computer-assisted detection system with generated image features

30 Computerized evaluation of pulmonary function based on the rib and diaphragm motion by dynamic chest radiography

31 Creation of large-scale and high-performance technology for processes of MCA by utilizing supercomputers

32 Ultrahigh resolution optical coherence microscopy at visible to near-infrared wavelength region

33 Magneto-stimulation system for brain based on medical images

34 Analysis of central nervous system and skeletal system during human early-fetal period based on MCA

35 Quantitative evaluation of fatty metamorphosis and fibrosis of liver based on models of ultrasound and light propagation and its application to hepatic disease diagnosis

36 A computer aided support system for deep brain stimulation by multidisciplinary brain atlas database

37 Development of multiple skeletal muscle recognition technique in the thoracoabdominal region for respiratory muscle function analysis

38 Application study on micro-tomographic visualization of spatio-temporal mechanical characteristics of regenerated tissue

39 Integrate of bio-metabolism and structural change for diagnosis of dementia

VII: New Frontier of clinical and scientific applications of MCA models

40 Education of Embryology by human fetus

41 MicroCT and histological diagnosis

42 MCA analysis for hepatology

43 Development of general biophysical model for realization of ultrasonic qualitative real-time pathological diagnosis

44 Autonomous control of a surgical assistant robot with a stereoscopic endoscope that can obtain depth information in real time

45 Computer-aided diagnosis of interstitial lung disease on ultra-high-resolution CT imaging parallel to the chest wall with artificial intelligence

46 Morphometric analysis for the morphogenesis of the craniofacial structures and the evolution of the nasal protrusion in humans

47 Postoperative prediction of pulmonary resection based on MCA model by integrating the temporal responses and biomechanical functions

48 Development of bone strength prediction method by using MCA with damage mechanics

49 Computer-aided diagnostic system based on deep learning which supports endoscopists’ decision making on the treatment of colorectal polyps

50 Modeling for congenital heart malformation focused on topology

51 Normalized brain datasets with functional information project the future- predicting glioma surgery

52 Artificial intelligence based radiogenomic diagnosis of gliomas

53 Similation surgery for Hepatobiriary pancreatic surgery

54 Application of MCA modeling to abnormal nerve plexus in the GI tract

55 Fusion of AR and IoT at the operation room

56 Strategy for Future OR

57 Four-dimensional dynamic images: principle and future application

O autorze

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.