by Makoto Hashizume (Editor)
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 chara
Back Jacket
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.
Author Biography
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.