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

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 Alzheimer’s 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 surgeryand 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.