This critical volume focuses on the use of medical imaging, medical robotics, simulation, and information technology in surgery. Part I discusses computational surgery and disease management and specifically breast conservative therapy, abdominal surgery for cancer, vascular occlusive disease and trauma medicine. Part II covers the role of image processing and visualization in surgical intervention with a focus on case studies. Part III presents the important role of robotics in image driven intervention. Part IV provides a road map for modeling, simulation and experimental data. Part V deals specifically with the importance of training in the computational surgery area.
Table of Content
Part 1: Introduction.- A Road Map for Computational Surgery: Challenges and Opportunities.- Part 2: Computer Assisted Management of Disease and Surgery.- Plato’s CAVE – A Multidimensional, Image Guided Radiation Therapy Cross Reality Platform with Advanced Surgical Planning, Simulation and Visualization Techniques using (native) DICOM Patient Image Studies.- Stereotactic Body Radiotherapy (SBRT) / Stereotactic Ablative Body Radiotherapy (SABR) for Lung Cancer.- Computer Aided Management in Scoliosis Surgery.- Computational Modeling of Breast Conserving Surgery(BCS) starting from MRI Imaging.- Part 3: Image Processing and Diagnostics.- A statistical framework for biomarker analysis and HR-MAS 2D metabolite identification.- Hardware and performance considerations for computational medicine.- Image Driven Intervention and Robotic.- Cardiovascular Imaging, Navigation and Intervention-Hybrid Imaging and Therapeutics.- Towards automatic computer-aided planning in arthroplasty surgery by innovative methods for processing the bone surface models.- Robotic Assisted Lobectomy for Lung Cancer.- Robot interaction control in medicine and surgery: original results and open problems.- Control issues and possible solutions in robotized flexible endoscopy.- Beating Heart Surgery: Comparison of Two Active Compensation Solutions for Minimally Invasive Coronary Artery Bypass Grafting.- Part 5: Modeling, Simulation and Experimental data.- 5.1 Cardiovascular.- Segmentation and Blood Flow Simulations of Patient-Specific Heart Data.- Assessment of Hemodynamics in De Bakey Type III Aortic Dissections For Planning Surgical Interventions and to Understand Post-Treatment Changes.- Three-Dimensional Numerical Simulation of Plaque Formation in Arteries.- Rule Base Simulation of Vein Graft Remodeling.- Transport in nanoconfinement and within blood vessel wall .- 5.2 Cancer.- Some models for the prediction of tumor growth: general framework and applications to metastases in the lung.- Quantifying the Role of Anisotropic Invasion in Human Glioblastoma.- A mathematical model for growing metastases on oncologists’s service.- 5.3 Epilepsy.- 5.4 Bone.- Calculation of the Discrete Effective Stiffness of Cancellous Bone by Direct Mechanical Simulations.- Part 6: Training and Performance Analysis.- Robotics as a Tool for Training and Assessment of Surgical Skill.- Workload and Performance Analyses with Haptic and Visually-Guided Training in a Dynamic Motor Skill Task.
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