HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006
Author(s)
Gollub, Randy L.; Banzett, Robert B.; Bolar, Divya S.; Buckner, Randy; Dickerson, Bradford; Gabrieli, John D. E.; Whitfield-Gabrieli, Susan; Greve, Doug; Hadjikhani, Nouchine; Helmer, Karl; Kanwisher, Nancy; Kennedy, David N. (David Nelson), 1962-; Mandeville, Joe; Manoach, Dara; Melcher, Jennifer R.; Moore, Christopher; Napadow, Vitaly; Pujol, Sonia; Rosen, Bruce Robert; Salat, David; Savoy, Robert; Sodickson, Dan; Sorensen, A. Gregory; Triantafyllou, Christina; Vangel, Mark Geoffrey; Wald, Lawrence; Yendiki, Anastasia; ... Show more Show less
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Alternative title
Functional Magnetic Resonance Imaging: Data Acquisition and Analysis
Metadata
Show full item recordAbstract
This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides 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, building and applying statistical models for fMRI data. Human subjects issues including informed consent, institutional review board requirements and safety in the high field environment are presented.
Date issued
2006-12Other identifiers
HST.583-Fall2006
local: HST.583
local: IMSCP-MD5-64ceb1708d1407ba955910c0855cf710
Keywords
medical imaging, medical lab, medical technology, magnetic resonance imaging, fMRI, signal processing, human brain mapping, function, image formation physics, metabolism, psychology, image signals, parenchymal, cerebrovascular neuroanatomy, functional data analysis, experimental design, statistical models, human subjects, informed consent, institutional review board requirements, safety, medical, brain scan