Garbey / Bass / Collet Computational Surgery and Dual Training

1. Auflage 2009
ISBN: 978-1-4419-1123-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 315 Seiten

The future of surgery is intrinsically linked to the future of computational sciences: the medical act will be computer assisted at every single step, from planning to post-surgery recovery and through the surgical procedure itself. Looking back at the history of surgery, surgery practice has changed drama- cally with the extensive use of revolutionary techniques, such as medical imaging, laparoscopy, endoscopy, sensors and actuators, and robots. This trend is dependent on the use of computer processing, computational method, and virtualization. Computational surgery will not only improve the ef?ciency and quality of surgery, but will also give new access to very complex operations that require extreme precision and minimum intrusion. Such examples are today's inoperable cancer tumors that have invaded critical tissues or nervous centers. In order for this milestone to be reached quicker and more ef?ciently, surgeons will have to become very familiar with computing methods, such as image analysis, augmented re- ity, and/or robotics. It will be critical for surgeons to assimilate computers in their training, understand how computers work, understand the limitations/advantages of these computer tools, and be able to interpret computer imaging and simulations.

Autoren/Hrsg.

Garbey, Marc

Collet, Christophe

Tran-Son-Tay, Roger

Bass, Barbara Lee

de Mathelin, Michel

Inhaltsverzeichnis

1;Computational Surgery and Dual Training;1
1.1;Contributors;11
1.2;Part I Computer Assisted Management of Disease and Surgery;15
1.2.1;Breast-Conserving Therapy for Breast Cancer: Targets for Investigation to Improve Results;16
1.2.1.1;Breast Cancer Biology;16
1.2.1.2;Surgical Management of Early Breast Cancer;17
1.2.1.3;Targets for Improvement in BCT Surgery;19
1.2.1.4;The Impact of Surgical Lumpectomy on Breast Contour;20
1.2.1.5;The Impact of Radiation Therapy on Breast Cosmesis;21
1.2.1.6;Prediction of Pathologically Negative Surgical Margins After Lumpectomy;22
1.2.1.7;Summary;23
1.2.1.8;References;23
1.2.2;Changing Paradigms in the Management of Peripheral Vascular Disease: The Need for Integration of Knowledge, Imaging, and Therapeutics;25
1.2.2.1;Clinical Problem;25
1.2.2.2;Anatomy;26
1.2.2.3;Pathophysiology and Classification of Disease;26
1.2.2.4;Pathology of Angioplasty and Stenting;27
1.2.2.5;Intravascular Stents;28
1.2.2.6;Diagnostic Imaging;29
1.2.2.7;Endoluminal Procedures;31
1.2.2.8;Outcomes;32
1.2.2.9;Pharmacotherapy After PTA;33
1.2.2.10;Adjuvant Stenting;34
1.2.2.11;Drug Eluting Stents;35
1.2.2.11.1;Covered Stents;35
1.2.2.11.2;Atherectomy;35
1.2.2.11.3;Laser Assisted Angioplasty;36
1.2.2.11.4;Brachytherapy;37
1.2.2.12;Cryotherapy;37
1.2.2.13;Cutting Balloon PTA;38
1.2.2.14;Complications of Intervention;39
1.2.2.15;Exercise vs. Angioplasty;40
1.2.2.16;Surgery vs. Angioplasty;41
1.2.2.17;Economics;41
1.2.2.18;Conclusion;42
1.2.2.19;References;43
1.3;Part II Image Processing and Diagnostics;54
1.3.1;Brain MRI Segmentation;55
1.3.1.1;References;82
1.3.2;Knowledge-Driven Recognition and Segmentation of Internal Brain Structures in 3D MRI;84
1.3.2.1;Introduction;84
1.3.2.2;Dealing with Imprecision Using Fuzzy Sets;85
1.3.2.3;Knowledge Representation;85
1.3.2.4;Fusion;88
1.3.2.5;Segmentation and Recognition;90
1.3.2.5.1;Global Approach;91
1.3.2.5.2;Sequential Approach;92
1.3.2.5.3;CSP Based Approach;94
1.3.2.6;Outlook;95
1.3.2.7;References;97
1.3.3;New Dimensions in Diagnostic Imaging of the Aorta;100
1.3.3.1;Conventional Imaging;100
1.3.3.1.1;Computed Tomography;100
1.3.3.1.2;Magnetic Resonance Imaging;101
1.3.3.1.3;Aortic Dissections;101
1.3.3.1.4;MRI of Aortic Dissections;103
1.3.3.1.4.1;Contrast-Enhanced Imaging;103
1.3.3.1.4.2;2D Phase Contrast Magnetic Resonance Imaging;103
1.3.3.1.4.3;Real-Time Magnetic Resonance Imaging;105
1.3.3.1.5;Computational Fluid Dynamics;105
1.3.3.1.6;Motion Analysis of Aortic Septum;106
1.3.3.2;References;108
1.3.4;Methodological Advances on Pulse Measurement through Functional Imaging;110
1.3.4.1;Appendix;127
1.3.4.2;References;129
1.3.5;Parallel Multispectral Image Segmentation for Computer Aided Thyroid Cytology;131
1.3.5.1;Introduction;131
1.3.5.2;Challenges for FNAC Diagnosis;132
1.3.5.3;Multispectral Imaging;133
1.3.5.4;Computer-Aided Analysis Needs for Thyroid FNAC;134
1.3.5.5;Methods;135
1.3.5.5.1;Spectral Imaging;135
1.3.5.5.2;Image Segmentation;136
1.3.5.5.3;Parallelization;138
1.3.5.6;Results;140
1.3.5.7;Conclusions;142
1.3.5.8;References;143
1.4;Part III Image Driven Intervention and Robotics;145
1.4.1;Computer-Assisted Digestive Surgery;146
1.4.1.1;Introduction;146
1.4.1.2;Virtual Reality for Preoperative Surgical Planning;147
1.4.1.3;Virtual Reality for Preoperative Surgical Simulation;152
1.4.1.4;Virtual Reality for Intra-operative Assistance: Augmented Reality;154
1.4.1.5;Conclusions;157
1.4.1.6;References;158
1.4.2;Design of a Robotized Flexible Endoscope for Natural Orifice Transluminal Endoscopic Surgery;161
1.4.2.1;Introduction;161
1.4.2.2;Problematics;162
1.4.2.3;Related Work and Systems;163
1.4.2.3.1;Use of an Overtube;163
1.4.2.3.2;Articulated or Passive Instruments;164
1.4.2.3.3;Discrete or Continuous DOFs;164
1.4.2.3.4;The Triangulation Problem;164
1.4.2.3.5;Manipulation and Robotization of the Systems;164
1.4.2.4;Presentation of our Endoscopic Prototype;165
1.4.2.4.1;The Mechanical System;165
1.4.2.4.2;Motorization;166
1.4.2.4.3;Master Control of the System;167
1.4.2.4.4;The Whole Setup;168
1.4.2.4.5;The Advantages of Robotization for NOTES;170
1.4.2.5;Modeling of the System;170
1.4.2.5.1;Model;170
1.4.2.5.2;Triangulation Analysis;172
1.4.2.6;Control and Telemanipulation;174
1.4.2.7;Conclusion;175
1.4.2.8;References;175
1.4.3;MRI-Guided Robot-Assisted Interventions: An Opportunity and a Challenge in Computational Surgery;177
1.4.3.1;The Case for MR-Guided Robot-Assisted Interventions;177
1.4.3.2;A Developmental Platform for MR-Guided Robotic Interventions;182
1.4.3.3;Image-Guided Stereotactic Control;187
1.4.3.4;Image-Guided Freehand Control;188
1.4.3.5;Future Perspectives;192
1.4.3.6;References;194
1.4.4;Image-Guided Interventions and Robotics;197
1.4.4.1;Robot-Assisted Procedures in Interventional Radiology;197
1.4.4.1.1;Interventional Radiology;197
1.4.4.1.1.1;Procedures;197
1.4.4.1.1.2;Imaging;198
1.4.4.1.2;Robotized Interventional Radiology;199
1.4.4.1.2.1;Why Robots for Interventional Radiology?;199
1.4.4.1.2.2;Technological Issues;201
1.4.4.1.2.3;Examples of Image-Guided Robotic Systems;203
1.4.4.1.3;CT-Bot: A Body-Mounted System for Interventional Radiology Under CT-Guidance;204
1.4.4.1.3.1;Positioning Module;205
1.4.4.1.3.2;Needle Insertion Module;206
1.4.4.1.4;Discussion;209
1.4.4.1.4.1;CT Robotics;209
1.4.4.1.4.2;MRI Robotics;210
1.4.4.2;References;210
1.5;Part IV Modeling, Simulation and Experimental Data;212
1.5.1;Emerging Mechanisms of Vein Graft Failure: The Dynamic Interaction of Hemodynamics and the Vascular Response to Injury;213
1.5.1.1;Limited Durability of Vein Bypass Grafts;213
1.5.1.2;Hemodynamics: Modulator of Vascular Adaptation;214
1.5.1.3;Mathematical Modeling of Shear-Mediated Vein Graft Adaptation;217
1.5.1.4;System Biology and Vascular Adaptation;218
1.5.1.5;References;221
1.5.2;Modeling and Role of Leukocytes in Inflammation;224
1.5.2.1;Introduction;224
1.5.2.2;Leukocytes and Inflammation;225
1.5.2.3;Leukocyte Rolling Mechanism;226
1.5.2.4;Leukocyte Rheological Models;227
1.5.2.4.1;Viscoelastic Solid Model;227
1.5.2.4.2;Cortical Shell-Liquid Core Model;228
1.5.2.4.3;Non-Newtonian Model;228
1.5.2.4.4;Compound Drop Model;229
1.5.2.5;Leukocyte Rolling Models;230
1.5.2.5.1;Bond Model;231
1.5.2.5.2;Rigid Sphere Model;231
1.5.2.5.3;Compound Drop Model;231
1.5.2.5.4;Deformable 3-Dimensional Model;232
1.5.2.6;Systems Biology Approach;233
1.5.2.7;Summary and Conclusion;233
1.5.2.8;References;234
1.5.3;Multi-modality Imaging for the Simulation of Cerebral Aneurysm Blood Flow Dynamics;236
1.5.3.1;Cerebral Aneurysms;236
1.5.3.2;Treatment of Cerebral Aneurysms;237
1.5.3.3;Aneurysm Imaging;238
1.5.3.4;Aneurysm Rupture;241
1.5.3.5;Aneurysm Hemodynamics;242
1.5.3.6;Patient-Specific Computational Fluid Dynamics;242
1.5.3.7;Application of CFD for the Study of Cerebral Aneurysms;244
1.5.3.8;Multi-modality Imaging and Modeling of Cerebral Aneurysms Hemodynamics;247
1.5.3.9;Outlook;248
1.5.3.10;References;248
1.5.4;A Computational Framework for Breast Surgery: Application to Breast Conserving Therapy;252
1.5.4.1;References;269
1.6;Part V Training;270
1.6.1;Simulators in Training;271
1.6.1.1;Introduction;271
1.6.1.2;Types of Inanimate Simulators;272
1.6.1.3;Procedural Simulation;273
1.6.1.4;Developing a Laparoscopic Surgery Simulator;275
1.6.1.5;Determining the Reliability and Validity of a Simulator;276
1.6.1.6;Using Simulation to Test Procedural Skill;281
1.6.1.7;Conclusion;282
1.6.1.8;References;282
1.6.2;A Computational Desk for Surgeons;284
1.6.2.1;References;310
1.7;Index;313