Summer School on Computing, Robotics and Imaging for Surgery Platform 2013-14 4 th Cycle June 23 rd July 11 th 2014
MEDICAL ROBOTICS Course coordination: Giancarlo Ferrigno giancarlo.ferrigno@polimi.it 3,5 ECTS 26 hours G. Ferrigno (PhD, Pr. POLIMI), B. Bayle (PhD, Pr. UdS), F. Cardinale (MD, H. Niguarda), E. De Momi (PhD, Assist. Pr. POLIMI), A. Pedrocchi (PhD, Assist. Pr. POLIMI), R. Perrone (MSc, POLIMI), M. Valenti (MSc, POLIMI), G. Bosoni (MSc, POLIMI) Fundamentals of Geometry and Algebra, Signal and Image Processing basics To provide necessary knowledge in order to start research projects in the area of medical robotics To give an exposure to the specific constraints of an operating room To describe research challenges in robotics devices and systems (sensors, actuators, mechanical structures, control architectures) used for computer aided surgery To describe neurosurgery requirements and challenges Fundamentals of Robotics: Modeling and parametrization of articulated objects in 3D space Forward and inverse kinematics Differential kinematics and control basics Medical robotics and computer aided surgery: State of the Art, basics of robot assisted procedures Sensors, registration and visual servoing Augmented reality Geometric modelling and virtual reality Haptics and telemanipulation Neurosurgery: Neurosurgery, keyhole approaches and awake surgery Neurosurgery requirements Computer assisted robotic neurosurgery: Targeting, Sensor fusion, Force sensing Visit a robotic labs Homeworks Examination: a two hours examination will take place at the mid of the course on Thursday 3 rd July.
BIOMECHANICS FOR CARDIOVASCULAR SURGERY (BCS) Course coordination: Gianfranco Fiore gianfranco.fiore@polimi.it 2 ECTS 18 hours A. Redaelli (PhD, Pr. POLIMI), G.B. Fiore G.B. (PhD, Assist. Pr. POLIMI), A. Mangini (MD, H. L. Sacco, Milano), S. Vesentini (PhD, Ass Pr. POLIMI), R. Vismara (PhD, Ass Pr. POLIMI), E. Votta (PhD, Ass Pr. POLIMI), F. Sturla (MSc, POLIMI), F. Consolo (PhD, POLIMI), A. Dimasi (MSc, POLIMI) Fundamentals of Biomechanics and Transport Phenomena To provide an overview of emerging approaches in the area of cardiovascular biomechanics and tissue engineering. To give an exposure to the specific problems related to patient-specific therapy design and planning To introduce the basics of computational and experimental tools needed to design patient-specific approaches To become able to analyze medical procedures in order to provide adapted assistive technologies and systems Computational modeling of heart valves: microstructure and mechanical properties, imaging techniques for patient-specific reconstruction, numerical methods for dynamic simulations, applications to the study of the aortic and mitral valve physiopathology and surgical repair. In vitro approaches for heart valve surgery. Mock loop design: principles and instruments; experimental campaign: mock loop instrumentation, sample management, data analisys. The ForCardioLab experience. In silico and in vitro studies: the Clinician s point of view. Surgery from the experimental lab to the operating room. Experimental microfluidic techniques and platforms to control the in vitro cellular microenvironment. Role of bioreactor systems in tissue engineering: basic design concept and research applications. Introduction to atomistic and multi-scale modelling ; example of application for the study of biomolecules and biomedical materials. Computational and experimental methods for cardiovascular devices optimization and thrombogenicity assessment : a case study on extra-corporeal circulation devices. Experimental laboratory at the Micro and biofluid dynamics Laboratory Homeworks at the end of the project; Examination: a two hours examination will take place at the mid of the course on Thursday 3 rd July.
Part 1 Part 2 July 7 th July 10 th 2014 ASSISTED SURGERY AND RADIOTHERAPY (ASR) Course coordination: Pietro Cerveri pietro.cerveri@polimi.it 3,5 ECTS 28 hours P. Cerveri (PhD, Assist. Pr. POLIMI), G. Baroni (PhD, Pr. POLIMI), A. Manzotti (MD, CTO Hospital, Milano), M. Riboldi (PhD, Pr. POLIMI), N. Lopomo (PhD, Ist. Ortopedico Rizzoli, Bologna), C. Gianoli (PhD, POLIMI), A. Fassi (PhD, POLIMI), M. Seregni (PhD, POLIMI), G. Fattori (PhD, POLIMI) Fundamentals of Geometry and Algebra, Biomechanics, Image Acquisition and Processing basics To provide fundamental concepts of computer assisted surgery and navigation. To understand the problems relevant to the acquisition of patient specific features, patient movement tracking and the consequent therapy and surgery strategies. To illustrate innovative computer methods and technologies in the field of orthopaedics. To discuss about innovative techniques for oncological treatment based on hadron-therapy. Fundamentals of Computer Aided Surgery: Concept of pre-operative surgical planning and navigation: motion tracking technologies, localization and registration; Marker-based localization tools and localization accuracy. Surgical planning and navigation in total hip and knee replacement: Planning and navigation in orthopaedic surgery Role of the clinical landmarks and innovative methods for automatic identification Innovative approaches in total knee replacement: patient-specific resection guides Computer assisted techniques in knee replacement surgery from a clinical point of view. Radiotherapy and hadron-therapy: Principles of radiotherapy From radiotherapy to hadron-therapy: advantages and critical issues Presentation of the National Center of Oncological Hadron-therapy in Pavia Visit to CNAO center in Pavia Informatics Laboratory: 3D models management and processing Homeworks; Examination: a two hours examination will take place course on Friday 11th July.
MEDICAL IMAGE PROCESSING (MIP) July 7 th July 10 th 2014 Course coordination: Giuseppe Baselli giuseppe.baselli@polimi.it 3 ECTS 22 hours G. Baselli (PhD, Pr. POLIMI), C. Collet (PhD, HdR, Pr. UdS), : Fundamentals of signal processing To provide necessary knowledge in order to start research projects in the area of medical robotics, image guided surgery and image processing for medical applications; To understand the main advantages of using images in medical applications Modalities in Medical Imaging (Giuseppe Baselli) Description of different medical imaging modalities : physical principles, data acquisition devices, image reconstruction methods, image features and issues in processing these images. What physicians are expecting from medical image processing : multimodalities, multiresolution, use cases, etc. Main tools for image processing (Ch. Collet ) Visualization, Transformations and Descriptors, Enhancement, Quantification Filtering and contour detection, multiresolution analysis, Thresholding Noise modeling, Restoration, Pattern recognition ; Examples on Matlab Informatics Laboratory: Matlab exercise Homeworks Examination: a two hours examination will take place at the end of the course on Friday 11 th July.