VISE has a number of educational seminars and courses taught by affiliates:<\/strong><\/h2>\nBME 258. Foundations of Medical Imaging<\/strong>
\nPhysics and engineering of image formation by different modalities used for medical applications. Concepts common to different imaging modalities and limits of physical phenomena. Mathematical concepts of image formation and analysis; techniques for recording images using ionizing radiation (including CT) ultrasound, magnetic resonance, and nuclear (including SPECT and PET). Methods of evaluating image quality.
\nPrerequisites: PHYS 116b, 118b, Math 196.
\nCredit offered for only one of BME 258 and PHYS 228
\nOffered: Spring, 3 credit hours<\/p>\nBME 275: Therapeutic Bioengineering <\/strong>
\nThis undergraduate course explores the engineering aspects of treating disease or disorders. Topics include surgical mechanics, diffusion therapies including chemical and energy diffusion, image-guided therapies and the role of discovery and design in the development of medical treatments. The course has three extensive homework assignments and requires a 20 page research paper.
\nPrerequisites: College Physics, EE 213, BME 101 and BME 210. BME 271 can be a co-requisite and an imaging course may be helpful.
\nOffered: Fall, 3 credit hours
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\nBME 279. Modeling Living Systems for Therapeutic Bioengineering<\/strong>
\nIntroduction to computer modeling and simulation in therapeutic bioengineering processes. Building computer models and using modern modeling software tools. Introduction to numerical techniques to solve differential equations and origin of mathematical models for biotransport, biomechanics, tumor\/virus growth dynamics, and model-based medical imaging techniques.
\nPrerequisites: MATH 196 or MATH 198, CS 103 or equivalent, BME 101 or equivalent mechanics course.<\/p>\nBME 301C. Quantitative Methods in Biomedical Engineering Mathematics, quantitative analysis and computation for biomedical engineering applications.<\/strong>
\nThe third in a three-unit sequence consisting of BME 301A, BME 301B and BME 301C (5 weeks each). Numerical differentiation, and integration, optimization, nonlinear ordinary and partial differential equations, applications in modeling and image analysis.<\/p>\nBME 329. Advanced Computational Modeling and Analysis in Biomedical Engineering<\/strong>
\nSurvey of current topics within biomedical modeling: biotransport, biomechanics, tumor and virus growth dynamics, model-based medical imaging techniques, etc. Mathematical development and analysis of biomedical simulations using advanced numerical techniques for the solution of ordinary and partial differential equations. Emphasis will be on graduate research related topics.<\/p>\nBME 395 – Technology Guided Therapy (will be taught as a special topics course)<\/strong>
\nThis graduate course focuses on the delivery of therapeutic processes: resection, ablation, implantation and local delivery of drugs and gene therapy agents. It will be concentrated on guidance systems and image-space to physical space registration.
\nPre-requisites: A background in programming and experience with linear algebra.
\nOffered: Spring, 3 credit hours<\/p>\nEECE 357. Advanced Image Processing. <\/strong>(Also listed as CS 357) This course covers current techniques for medical image processing and analysis including rigid and non-rigid registration algorithms, segmentation and classification. Classic papers in these areas are covered and discussed; the methods they describe are implemented.
\nPre-requisites: EECE 253 Image Processing and good Matlab programming experience.
\nOffered: Fall, 3 credit hours<\/p>\nEECE 395: Statistics in Med Imaging<\/strong>
\nThis graduate course will cover methods for quantitative analysis and interpretation of imaging data with a focus on neuroimaging approaches related to brain structure, function, and connectivity. Specific topics include massively univariate analysis (parametric mapping), multiple comparison issues, random fields, independent components, non-parametric approaches, and Monte Carlo methods.
\nPre-requisites: Linear algebra \/ calculus, signal processing, programming ability, research interests.
\nOffered: Occasionally, 3 credit hours<\/p>\nEECE 395: Machine Learning in Medical Imaging<\/strong>
\nThis seminar course will cover application of machine learning to medical imaging problems, specifically focusing on quantitative analysis and interpretation of brain structure, function, and connectivity. Specific topics will include: Segmentation, Classifiers, and Dimensionality Reduction.
\nPre-requisites: Linear algebra \/ calculus, signal processing, programming ability, research interests.
\nOffered: Occasionally, 3 credit hours<\/p>\nEECE 395 Practicum: Medical Image Processing and Visualization in Virtual Environments<\/strong>
\nIn this intensive, hands-on course, we will explore the use of and interaction with medical imaging data in immersive virtual environments. In this course, students will design, implement and evaluate an immersive experience for interacting with medical imaging data.
\nPre-requisites: Programming experience, imaging interests, and permission of instructor are required.
\nOffered: Occasionally, 2-3 credit hours<\/p>\nEECE 395: Readings in 国产原创 Institute for Surgery and Engineering<\/strong>
\nThis seminar class will introduce graduate students from different disciplines to the key research questions facing integration of surgery and engineering research. We will cover seminar and representative readings suggested by 国产原创 Institute for Surgery and Engineering (VISE) investigators with a goal of improving mutual understanding and building interdisciplinary connections.
\nPre-requisites: VISE research interests.
\nOffered: Occasionally, 1 credit hour<\/p>\nME 190: Dynamics <\/strong>
\nThis course is a sophomore class designed to introduce students to the basics of rigid body dynamics including kinematics (study of motion) and kinetics (study of motion and forces causing motion)
\nOffered: Spring<\/p>\nSpecial Topics: Introduction to Medical Robotics<\/strong>
\nUndergraduate students should register for ME210.02 “special topics”.<\/strong>
\nGraduate students should register for ME392.02 “special topics”.<\/strong>
\nThis course is for Senior undergraduate and for Graduate students interested in an introductory level course to medical robotics. This new course presents a unique opportunity for students to learn and apply a wide array of design and analysis skills specifically focused on the design of surgical instruments and on the integration of new tools and robots in the surgical workflow.
\nPrerequisites: Linear algebra, Recommended: Mechanics of Machines, Introduction to robotics
\nOffered: Fall<\/p>\nME 271: Introduction to Robotics<\/strong>
\nHistory and application of robots. Robot configurations including mobile robots. Spatial descriptions and transformations of objects in three-dimensional space. Forward and inverse manipulator kinematics. Task and trajectory planning, simulation and off-line programming. Typically offered in the fall of each year.
\nPrerequisite: Math 194.
\nOffered: Fall, 3 credit hours<\/p>\nME 331: Robot Manipulators <\/strong>
\nThis newly revised course will build on the background obtained in the recently revised Intro to Robotics (ME271) course. The course is highly recommended for graduate students in robotics disciplines (EE\/CS and ME alike). Also, I will consider recent undergraduate seniors who took ME271 in fall 2012 provided that their grade achievements and current ME271 instructor feedback suggest that they are able to manage graduate-level coursework.
\nOffered: Spring<\/p>\nME 391-03: Special Topic: Wireless Mechatronics<\/strong>
\nThis course is intended for graduate students in ME, EE, CS or BME interested in the design of mechatronic devices with emphasis on miniaturization and wireless transmission of data and power. The course will cover programming of wireless microcontrollers and data acquisition and transmission from sensors and to actuators.
\nRecommended prerequisite:\u00a0 \u00a0Experience in 3D CAD design (ProE), experience in C-like code programming.
\nOffered: Fall, 3 credit hours<\/p>\nME 392-02: Special Topics: Advanced Topics in Robotics and Mechanism Synthesis<\/strong>
\nThis is a graduate level course in robotics and mechanism synthesis. The course focuses on covering several topics in kinematics of serial and parallel robots, special methods in kinematics including dual number representations and quaternion methods, introduction to screw-based kinematics and its applications to mechanism analysis and synthesis, line geometry methods and applications in kinematics, open research problems in robotics, mathematical methods for the solution of polynomial systems related to design\/analysis problems of mechanisms (e.g. direct kinematics of parallel robots) including homotopy continuation methods and resultant-based methods. This course is highly recommended for graduate students with some background in robotics and mechanism theory who are interested in expanding their background for research in these areas. It is intended to provide a wider perspective on the mathematical methods and on performance evaluation\/optimization of different mechanisms\/robots including parallel robots, serial robots, multi-fingered hands, robots with actuation redundancy and with kinematics redundancy (e.g. snakes).
\nPrerequisites: Linear algebra (you should be familiar with matrix computations, eigenvalues\/ eigenvectors) and ordinary differential equations (recommended).
\nOffered: Spring<\/p>\nIN FALL 2021, VANDERBILT UNIVERSITY WILL OFFER A NEW GRADUATE ENGINEERING PROGRAM THAT WILL EQUIP ENGINEERS TO IMPROVE TRANSLATION OF TECHNOLOGY FOR SURGERY AND INTERVENTION.<\/h2>\n
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<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Training-Grant PDF VISE Training Grant VISE Certificate Program VISE Courses Master of Engineering (ESI) VISE Training Grant Michael I. MIga, Harvie Branscomb Professor of Biomedical Engineering VISE Steering Committee Member and VISE Seminar Series Chair The 国产原创 Institute for Surgery and Engineering Training Program for Innovative Engineering Research in Surgery and Intervention was renewed…<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"spay_email":"","_links_to":"","_links_to_target":""},"tags":[],"acf":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P98pzF-C2","_links":{"self":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/pages\/2358"}],"collection":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/comments?post=2358"}],"version-history":[{"count":56,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/pages\/2358\/revisions"}],"predecessor-version":[{"id":9920,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/pages\/2358\/revisions\/9920"}],"wp:attachment":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media?parent=2358"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/tags?post=2358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}