Development of an Automated Pipeline to Analyze Hippocampal Morphometry in Response to Neurodegenerative Diseases
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Item Details
- title
- Development of an Automated Pipeline to Analyze Hippocampal Morphometry in Response to Neurodegenerative Diseases
- author
- Madi, Kedar Vijay
- abstract
- Alzheimer’s Disease, a neurodegenerative disorder that results in dementia and profound memory loss over time, is the 6th leading cause of death in the United States. Damage to and deterioration of the hippocampus—a structure within the brain that is responsible for the encoding and retrieval of episodic memories—is one of the defining features of the onset and development of Alzheimer’s Disease. Deterioration of hippocampal function is often indicative of synaptic dysfunction or neuron loss, the latter of which can be quantified through morphometric analysis of the hippocampus.
- subject
- hippocampus
- morphometrics
- morphometry
- MRI
- pipeline
- shape analysis
- contributor
- Whitlow, Christopher T. (committee chair)
- Kim, Jeongchul (committee member)
- Hampson, Robert E. (committee member)
- date
- 2021-06-03T08:36:18Z (accessioned)
- 2021 (issued)
- degree
- Biomedical Engineering (discipline)
- embargo
- 2026-05-17 (terms)
- 2026-05-17 (liftdate)
- identifier
- http://hdl.handle.net/10339/98835 (uri)
- language
- en (iso)
- publisher
- Wake Forest University
- type
- Thesis