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Table of Contents
Part I: Introduction: Perspectives toward MCA-based Medicine
Ch 1: MCA: cancer detection, surgical and interventional sciences (David J Hawkes)
Part II: Basic Principles of MCA: Fundamental Theories and Techniques
Ch 2: A Concept of Multi-disciplinary Computational Anatomy (MCA) (Yoshitaka Masutani)
Ch 3: Construction of Multi-Resolution Model of Pancreas Tumor (Hidekata Hontani)
Ch 4: Fundamental technologies for integration of multiscale spatiotemporal morphology in MCA (Akinobu Shimizu)
Ch 5: Fundamental technologies for integration and pathology in MCA (Yoshinobu Sato)
Part III: Basic Principles of MCA: Application Systems and Applied Techniques based on MCA Model
Ch 6: Pre/intra-operative Diagnostic and Navigational Assistance Based on Multidisciplinary Computational Anatomy (Kensaku Mori)
Ch 7: Cancer diagnosis and prognosis assistance based on MCA (Noboru Niki)
Ch 8: Function integrated diagnostic assistance based on MCA models (Hiroshi Fujita)
Part IV: Basic Principles of MCA: Clinical and Scientific Application of MCA
Ch 9: Clinical applications of MCA to surgery (Makoto Hashizum)
Ch 10: Clinical applications of MCA to diagnosis (Soji Kido)
Ch 11: Application of MCA across biomedical engineering (Etsuko Kobayashi)
Part V: New Frontier of Technology in Clinical Applications based on MCA Models: Lifelong Human Growth
Ch 12: Three-dimensional analyses of human organogenesis (Tetsuya Takakuwa)
Ch 13: Skeletal system analysis during the human embryonic period based on MCA (Tetsuya Takakuwa)
Ch 14: MCA-based Embryology and Embryo Imaging (Shigeto Yamada)
Ch 15: Modeling of congenital heart malformations with a focus on topology (Ryou Haraguchi)
Part VI: New Frontier of Technology in Clinical Applications based on MCA Models: Tumor Growth
Ch 16: A technique for measuring the 3D deformation of a multiphase structure to elucidate the mechanism of tumor invasion (Yasuyuki Morita)
Ch 17: Construction of classifier of tumore cell types of pancreas cancer based on pathological images using deep learning (Naoaki Ono)
Part VII: New Frontier of Technology in Clinical Applications based on MCA Models: Cranial Nervous System
Ch 18: Multi-modal and multi-scale image registration for property analysis of brain tumor (Takashi Ohnishi)
Ch 19: Brain MRI image analysis technologies and its application to medical image analysis of Alzheimers diseases (Koichi Ito)
Ch 20: A computer aided support system for deep brain stimulation by multidisciplinary brain atlas database (Kenichi Morooka)
Ch 21: Integrating bio-metabolism and structural changes for the diagnosis of dementia (Yuichi Kimura)
Ch 22: Normalized Brain Datasets with Functional Information Predict the Glioma Surgery (Manabu Tamura)
Part VIII: New Frontier of Technology in Clinical Applications based on MCA Models: Cardio-respiratory System
Ch 23: MCA analysis for the change in the cardiac fiber orientation under congestive heart failure (Toshiaki Akita)
Ch 24: Computerized evaluation of pulmonary function based on the rib and diaphragm motion by dynamic chest radiography (Rie Tanaka)
Ch 25: Computer-aided diagnosis of interstitial lung disease on high-resolution CT imaging parallel to the chest (Shingo Iwano)
Ch 26: Postoperative prediction of pulmonary resection based on MCA model by integrating the temporal responses and bio-mechanical functions (Fei Jiang)
Part IX: New Frontier of Technology in Clinical Applications based on MCA Models: Abdominal Organs
Ch 27: Analysis in Three-dimensional Morphologies of Hepatic Microstructures in Hepatic Disease (Hiroto Shoji)
Ch 28: Quantitative Evaluation of Fatty Metamorphosis and Fibrosis of Liver Based on Models of Ultrasound and Light Propagation and its Application to Hepatic Disease Diagnosis (Tsuyoshi Shiina)
Ch 29: MCA analysis for hepatology~ Establishment of the in-situ visualization system for liver sinusoid analysis (Keiichi Akahoshi)
Ch 30: Simulation surgery for hepatobiliary-pancreatic surgery (Yukio Ohshiro)
Part X: New Frontier of Technology in Clinical Applications based on MCA Models: Musculoskeletal System
Ch 31: Model Generation for Respiratory Muscle Function Analysis (Naoki Kamiya)
Ch 32: Morphometric analysis for the morphogenesis of the craniofacial structures and the evolution of the nasal protrusion in humans (Motoki Katsube)
Ch 33: Development of Bone Strength Prediction Method by Using MCA with Damage Mechanics (Mitsugu Todo)
Part XI: New Frontier of Technology in Clinical Applications based on MCA Models: Emerging Innovasive Imaging Technology
Ch 34: Development of a generation method for local appearance models of normal organs by DCNN (Shouhei Hanaoka)
Ch 35: Modeling
Disorder development onset prediction based on spatiotemporal statistical shape model (Saadia Binte Alam)
Ch 36: Prediction of personalized post-operative implanted knee kin-ematics with statistical temporal modeling (Belayat Hossain)
Ch 37: Sparse Modeling in Analysis for Multidisciplinary Medical Data (Yen-Wei Chen)
Ch 38: Super Computing
Creation of large-scale and high-performance technology for processes of MCA by utilizing supercomputers (Takahiro Katagiri)
Ch 39: MRI
Quantitative evaluation of diseased tissue by viscoelastic imaging systems (Mikio Suga)
Ch 40: US
Development of general biophysical model for realization of ultrasonic qualitative real-time pathological diagnosis (Tadashi Yamaguchi)
Ch 41: OCT
Ultrahigh resolution optical coherence tomography at visible to near- infrared wavelength region (Norihiko Nishizawa)
Ch 42: MRI
Magnetic Resonance Q-Space Imaging Using Generating Function and Bayesian Inference (Eizou Umezawa)
Ch 43: Micro-CT and Lungs (Shota Nakamura)
Ch 44: Real-time endoscopic computer vision technologies and their applications that help improve the level of autonomy of surgi-cal assistant robots (Atsushi Nishikawa)
Ch 45: Endoscopy
Computer-aided diagnostic system based on deep learning which supports endoscopists decision making on the treatment of colorectal polyps (Yuichi Mori)
Ch 46: Endoscopy
Application of MCA modeling to abnormal nerve plexus in the GI tract (Kazuki Sumiyama)
Ch 47: Optical Fluorescence: Application of structured light illumination and compressed sensing to high speed laminar optical fluorescence tomography (Ichiro Sakuma)
Ch 48: Magneto-stimulation system for brain based on medical images (Akimasa Hirata)
Ch 49: AI
A machine-learning-based framework for developing various computer-aided detection systems with generated image features (Mitsutaka Nemoto)
Ch 50: Radiomics
Artificial intelligence based radiogenomic diagnosis of gliomas (Manabu Kinoshita)
Ch 51: 4D
Four-dimensional dynamic images: principle and future application (Naoki Suzuki)
Ch 52: Cloud XR (Extended Reality: Virtual Reality & Augmented Reality (Mixed Reality) and 5G networks for holographic medical image-guided surgery and telemedicine (Maki Sugimoto)
Ch 53: Smart Cyber Operating Theater (SCOT) Strategy for Future OR (Yoshihiro Muragaki)
Appendix: MCA models: Lifetime, Brain, Chest, Abdominal, Skeletomuscular system.
Ch 1: MCA: cancer detection, surgical and interventional sciences (David J Hawkes)
Part II: Basic Principles of MCA: Fundamental Theories and Techniques
Ch 2: A Concept of Multi-disciplinary Computational Anatomy (MCA) (Yoshitaka Masutani)
Ch 3: Construction of Multi-Resolution Model of Pancreas Tumor (Hidekata Hontani)
Ch 4: Fundamental technologies for integration of multiscale spatiotemporal morphology in MCA (Akinobu Shimizu)
Ch 5: Fundamental technologies for integration and pathology in MCA (Yoshinobu Sato)
Part III: Basic Principles of MCA: Application Systems and Applied Techniques based on MCA Model
Ch 6: Pre/intra-operative Diagnostic and Navigational Assistance Based on Multidisciplinary Computational Anatomy (Kensaku Mori)
Ch 7: Cancer diagnosis and prognosis assistance based on MCA (Noboru Niki)
Ch 8: Function integrated diagnostic assistance based on MCA models (Hiroshi Fujita)
Part IV: Basic Principles of MCA: Clinical and Scientific Application of MCA
Ch 9: Clinical applications of MCA to surgery (Makoto Hashizum)
Ch 10: Clinical applications of MCA to diagnosis (Soji Kido)
Ch 11: Application of MCA across biomedical engineering (Etsuko Kobayashi)
Part V: New Frontier of Technology in Clinical Applications based on MCA Models: Lifelong Human Growth
Ch 12: Three-dimensional analyses of human organogenesis (Tetsuya Takakuwa)
Ch 13: Skeletal system analysis during the human embryonic period based on MCA (Tetsuya Takakuwa)
Ch 14: MCA-based Embryology and Embryo Imaging (Shigeto Yamada)
Ch 15: Modeling of congenital heart malformations with a focus on topology (Ryou Haraguchi)
Part VI: New Frontier of Technology in Clinical Applications based on MCA Models: Tumor Growth
Ch 16: A technique for measuring the 3D deformation of a multiphase structure to elucidate the mechanism of tumor invasion (Yasuyuki Morita)
Ch 17: Construction of classifier of tumore cell types of pancreas cancer based on pathological images using deep learning (Naoaki Ono)
Part VII: New Frontier of Technology in Clinical Applications based on MCA Models: Cranial Nervous System
Ch 18: Multi-modal and multi-scale image registration for property analysis of brain tumor (Takashi Ohnishi)
Ch 19: Brain MRI image analysis technologies and its application to medical image analysis of Alzheimers diseases (Koichi Ito)
Ch 20: A computer aided support system for deep brain stimulation by multidisciplinary brain atlas database (Kenichi Morooka)
Ch 21: Integrating bio-metabolism and structural changes for the diagnosis of dementia (Yuichi Kimura)
Ch 22: Normalized Brain Datasets with Functional Information Predict the Glioma Surgery (Manabu Tamura)
Part VIII: New Frontier of Technology in Clinical Applications based on MCA Models: Cardio-respiratory System
Ch 23: MCA analysis for the change in the cardiac fiber orientation under congestive heart failure (Toshiaki Akita)
Ch 24: Computerized evaluation of pulmonary function based on the rib and diaphragm motion by dynamic chest radiography (Rie Tanaka)
Ch 25: Computer-aided diagnosis of interstitial lung disease on high-resolution CT imaging parallel to the chest (Shingo Iwano)
Ch 26: Postoperative prediction of pulmonary resection based on MCA model by integrating the temporal responses and bio-mechanical functions (Fei Jiang)
Part IX: New Frontier of Technology in Clinical Applications based on MCA Models: Abdominal Organs
Ch 27: Analysis in Three-dimensional Morphologies of Hepatic Microstructures in Hepatic Disease (Hiroto Shoji)
Ch 28: Quantitative Evaluation of Fatty Metamorphosis and Fibrosis of Liver Based on Models of Ultrasound and Light Propagation and its Application to Hepatic Disease Diagnosis (Tsuyoshi Shiina)
Ch 29: MCA analysis for hepatology~ Establishment of the in-situ visualization system for liver sinusoid analysis (Keiichi Akahoshi)
Ch 30: Simulation surgery for hepatobiliary-pancreatic surgery (Yukio Ohshiro)
Part X: New Frontier of Technology in Clinical Applications based on MCA Models: Musculoskeletal System
Ch 31: Model Generation for Respiratory Muscle Function Analysis (Naoki Kamiya)
Ch 32: Morphometric analysis for the morphogenesis of the craniofacial structures and the evolution of the nasal protrusion in humans (Motoki Katsube)
Ch 33: Development of Bone Strength Prediction Method by Using MCA with Damage Mechanics (Mitsugu Todo)
Part XI: New Frontier of Technology in Clinical Applications based on MCA Models: Emerging Innovasive Imaging Technology
Ch 34: Development of a generation method for local appearance models of normal organs by DCNN (Shouhei Hanaoka)
Ch 35: Modeling
Disorder development onset prediction based on spatiotemporal statistical shape model (Saadia Binte Alam)
Ch 36: Prediction of personalized post-operative implanted knee kin-ematics with statistical temporal modeling (Belayat Hossain)
Ch 37: Sparse Modeling in Analysis for Multidisciplinary Medical Data (Yen-Wei Chen)
Ch 38: Super Computing
Creation of large-scale and high-performance technology for processes of MCA by utilizing supercomputers (Takahiro Katagiri)
Ch 39: MRI
Quantitative evaluation of diseased tissue by viscoelastic imaging systems (Mikio Suga)
Ch 40: US
Development of general biophysical model for realization of ultrasonic qualitative real-time pathological diagnosis (Tadashi Yamaguchi)
Ch 41: OCT
Ultrahigh resolution optical coherence tomography at visible to near- infrared wavelength region (Norihiko Nishizawa)
Ch 42: MRI
Magnetic Resonance Q-Space Imaging Using Generating Function and Bayesian Inference (Eizou Umezawa)
Ch 43: Micro-CT and Lungs (Shota Nakamura)
Ch 44: Real-time endoscopic computer vision technologies and their applications that help improve the level of autonomy of surgi-cal assistant robots (Atsushi Nishikawa)
Ch 45: Endoscopy
Computer-aided diagnostic system based on deep learning which supports endoscopists decision making on the treatment of colorectal polyps (Yuichi Mori)
Ch 46: Endoscopy
Application of MCA modeling to abnormal nerve plexus in the GI tract (Kazuki Sumiyama)
Ch 47: Optical Fluorescence: Application of structured light illumination and compressed sensing to high speed laminar optical fluorescence tomography (Ichiro Sakuma)
Ch 48: Magneto-stimulation system for brain based on medical images (Akimasa Hirata)
Ch 49: AI
A machine-learning-based framework for developing various computer-aided detection systems with generated image features (Mitsutaka Nemoto)
Ch 50: Radiomics
Artificial intelligence based radiogenomic diagnosis of gliomas (Manabu Kinoshita)
Ch 51: 4D
Four-dimensional dynamic images: principle and future application (Naoki Suzuki)
Ch 52: Cloud XR (Extended Reality: Virtual Reality & Augmented Reality (Mixed Reality) and 5G networks for holographic medical image-guided surgery and telemedicine (Maki Sugimoto)
Ch 53: Smart Cyber Operating Theater (SCOT) Strategy for Future OR (Yoshihiro Muragaki)
Appendix: MCA models: Lifetime, Brain, Chest, Abdominal, Skeletomuscular system.