HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004
Provides information relevant to the conduct and interpretation of human brain mapping studies. 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 s...
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| Format: | Learning Object |
| Language: | en-US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/45560 |
| _version_ | 1824458335654510592 |
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| author | Gollub, Randy L. Savoy, Robert Wald, Lawrence Banzett, Robert B. Dickerson, Bradford C Melcher, Jennifer R. Kennedy, David N. (David Nelson), 1962- Tuch, David Solomon, 1973- Jovicich, Jorge Greve, Doug Mandeville, Joe Vangel, Mark Geoffrey Hoge, Rick Blood, Anne Hadjikhani, Nouchine Moore, Christopher Salat, David Sigalovsky, Irina S., 1972- Stufflebeam, Steven M Zalesky, Martin |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Gollub, Randy L. Savoy, Robert Wald, Lawrence Banzett, Robert B. Dickerson, Bradford C Melcher, Jennifer R. Kennedy, David N. (David Nelson), 1962- Tuch, David Solomon, 1973- Jovicich, Jorge Greve, Doug Mandeville, Joe Vangel, Mark Geoffrey Hoge, Rick Blood, Anne Hadjikhani, Nouchine Moore, Christopher Salat, David Sigalovsky, Irina S., 1972- Stufflebeam, Steven M Zalesky, Martin |
| author_sort | Gollub, Randy L. |
| collection | MIT |
| description | Provides information relevant to the conduct and interpretation of human brain mapping studies. 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, and building and applying statistical models for fMRI data. Human subject issues including informed consent, institutional review board requirements and safety in the high field environment are also presented. Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required. |
| first_indexed | 2024-09-23T14:48:39Z |
| format | Learning Object |
| id | mit-1721.1/45560 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-02-19T04:24:16Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/455602025-02-13T21:11:04Z HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis Gollub, Randy L. Savoy, Robert Wald, Lawrence Banzett, Robert B. Dickerson, Bradford C Melcher, Jennifer R. Kennedy, David N. (David Nelson), 1962- Tuch, David Solomon, 1973- Jovicich, Jorge Greve, Doug Mandeville, Joe Vangel, Mark Geoffrey Hoge, Rick Blood, Anne Hadjikhani, Nouchine Moore, Christopher Salat, David Sigalovsky, Irina S., 1972- Stufflebeam, Steven M Zalesky, Martin Harvard University--MIT Division of Health Sciences and Technology 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 Magnetic resonance imaging Provides information relevant to the conduct and interpretation of human brain mapping studies. 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, and building and applying statistical models for fMRI data. Human subject issues including informed consent, institutional review board requirements and safety in the high field environment are also presented. Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required. 2004-12 Learning Object HST.583-Fall2004 local: HST.583 local: IMSCP-MD5-b351e113f3dbb3bdad65614b4e941e4c http://hdl.handle.net/1721.1/45560 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2004 |
| spellingShingle | 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 Magnetic resonance imaging Gollub, Randy L. Savoy, Robert Wald, Lawrence Banzett, Robert B. Dickerson, Bradford C Melcher, Jennifer R. Kennedy, David N. (David Nelson), 1962- Tuch, David Solomon, 1973- Jovicich, Jorge Greve, Doug Mandeville, Joe Vangel, Mark Geoffrey Hoge, Rick Blood, Anne Hadjikhani, Nouchine Moore, Christopher Salat, David Sigalovsky, Irina S., 1972- Stufflebeam, Steven M Zalesky, Martin HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title | HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title_full | HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title_fullStr | HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title_full_unstemmed | HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title_short | HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 |
| title_sort | hst 583 functional magnetic resonance imaging data acquisition and analysis fall 2004 |
| topic | 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 Magnetic resonance imaging |
| url | http://hdl.handle.net/1721.1/45560 |
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