Theoretical bounds on the change detection in brain volume measurements
Many neurodegenerative disorders, psychiatric disorders, and healthy aging are frequently associated with structural changes in the brain. As the brain develops over time, the cortical surface area, thickness, curvature and total gray matter volume change. It is highly likely that such age-relate...
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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/41578 |
| _version_ | 1811682974477844480 |
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| author | Varadarajan Jayasudha |
| author2 | Vitali Zagorodnov |
| author_facet | Vitali Zagorodnov Varadarajan Jayasudha |
| author_sort | Varadarajan Jayasudha |
| collection | NTU |
| description | Many neurodegenerative disorders, psychiatric disorders, and healthy aging are
frequently associated with structural changes in the brain. As the brain develops over time, the cortical surface area, thickness, curvature and total gray matter volume change. It is highly likely that such age-related surface deformations are not uniform. By measuring how such surface metrics change over time, the regions of the most rapid structural changes can be localized. These changes can cause alterations in the imaging properties of the brain tissue, as well as in morphometric properties of brain structures. The thickness of the cerebral cortex carries important information relative to aging. The
MRI of the normal brain can be divided into three regions, white matter, gray matter and
cerebrospinal fluid. The brain structures are anatomically defined by boundaries of these tissue classes. So it becomes important to use a method to segment the tissues into these categories. This is an important step in quantitative morphology of the brain. |
| first_indexed | 2024-10-01T04:05:22Z |
| format | Thesis |
| id | ntu-10356/41578 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:05:22Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/415782023-03-11T17:02:07Z Theoretical bounds on the change detection in brain volume measurements Varadarajan Jayasudha Vitali Zagorodnov School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Many neurodegenerative disorders, psychiatric disorders, and healthy aging are frequently associated with structural changes in the brain. As the brain develops over time, the cortical surface area, thickness, curvature and total gray matter volume change. It is highly likely that such age-related surface deformations are not uniform. By measuring how such surface metrics change over time, the regions of the most rapid structural changes can be localized. These changes can cause alterations in the imaging properties of the brain tissue, as well as in morphometric properties of brain structures. The thickness of the cerebral cortex carries important information relative to aging. The MRI of the normal brain can be divided into three regions, white matter, gray matter and cerebrospinal fluid. The brain structures are anatomically defined by boundaries of these tissue classes. So it becomes important to use a method to segment the tissues into these categories. This is an important step in quantitative morphology of the brain. Master of Science (Biomedical Engineering) 2010-07-21T08:38:55Z 2010-07-21T08:38:55Z 2008 2008 Thesis http://hdl.handle.net/10356/41578 en 56 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Varadarajan Jayasudha Theoretical bounds on the change detection in brain volume measurements |
| title | Theoretical bounds on the change detection in brain volume measurements |
| title_full | Theoretical bounds on the change detection in brain volume measurements |
| title_fullStr | Theoretical bounds on the change detection in brain volume measurements |
| title_full_unstemmed | Theoretical bounds on the change detection in brain volume measurements |
| title_short | Theoretical bounds on the change detection in brain volume measurements |
| title_sort | theoretical bounds on the change detection in brain volume measurements |
| topic | DRNTU::Engineering::Mechanical engineering::Bio-mechatronics |
| url | http://hdl.handle.net/10356/41578 |
| work_keys_str_mv | AT varadarajanjayasudha theoreticalboundsonthechangedetectioninbrainvolumemeasurements |