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Title : HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT)

Description : This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies. It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment. Additional Facul

Fromsemester : Fall

Fromyear : 2008

Creator :

Date : 2009-06-30T10:19:09+05:00

Relation : HST.583

Language : en-US

Subject : medical imaging

Subject : medical lab

Subject : medical technology

Subject : magnetic resonance imaging

Subject : MRI

Subject : fMRI

Subject : signal processing

Subject : human brain mapping

Subject : function

Subject : image formation physics

Subject : metabolism

Subject : psychology

Subject : physiology

Subject : image signals

Subject : image processing

Subject : parenchymal

Subject : cerebrovascular neuroanatomy

Subject : neurology

Subject : functional data analysis

Subject : experimental design

Subject : statistical models

Subject : human subjects

Subject : informed consent

Subject : institutional review board requirements

Subject : safety

Subject : medical

Subject : brain scan

Subject : brain imaging

Subject : DTI

Subject : vision

Publisher : MIT OpenCourseWare https://ocw.mit.edu

License : Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm