000 10016cam a2200433Ia 4500
999 _c232395
_d232395
001 232395
003 ES-VaUE
005 20220622195026.0
006 m o d
007 cr |n|||||||||
008 211203s2022 si o 000 0 eng d
017 _a1286946578
_a1287050597
_a1288210094
_a1289366618
020 _a9789811643255 (
_q) (
_qelectronic bk.)
020 _a9811643253 (
_q) (
_qelectronic bk.)
020 _z9811643245
020 _z9789811643248
024 7 _a10.1007/978-981-16-4325-5
_2doi
024 1 _aAU@
_b000070299269
040 _aYDX
_beng
_cUEV
_dGW5XE
_dEBLCP
050 _b.M858 2022 EB
072 7 _aMED000000
_2bisacsh
082 0 4 _a611.00285
_223
245 0 0 _aMultidisciplinary computational anatomy :
_btoward integration of artificial intelligence with MCA-based medicine
_cMakoto Hashizume, editor
260 _aSingapore
_bSpringer
_c[2022]
300 _a1 online resource
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
505 0 _aPart 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
520 _aThis 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
650 0 _aHuman anatomy-
_xData processing
650 4 _aElectronic books
655 0 _aElectronic books
700 1 _aHashizume, Makoto,
_eeditor
776 0 8 _cOriginal
_z9811643245
_z9789811643248
_w(OCoLC)1257402480
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-4325-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
998 _db