图书简介
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.
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
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