Changes
On January 3, 2024 at 10:20:07 AM +0800, Albert Yang:
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Updated description of Dementia Molecular Imaging Clinical Database from
##Overview## This dataset forms the foundation of a pioneering study aimed at understanding and diagnosing dementia through advanced imaging techniques. It encapsulates data from two molecular imaging methods: Single-Photon Emission Computed Tomography (SPECT) and Fluorodeoxyglucose Positron Emission Tomography (FDG-PET), which are instrumental in the clinical diagnosis of dementia. The study explores the relationship between local cerebral blood flow and metabolic function changes, leveraging the high correlation found between cerebral blood flow patterns and glucose metabolism.
to##Overview## This dataset is at the core of a dementia research project focused on the exploration and diagnosis of dementia using advanced imaging technologies. It integrates data collected through Single-Photon Emission Computed Tomography (SPECT). ##Dataset Composition## The dataset comprises images and data obtained from SPECT scans. SPECT imaging helps in assessing cerebral blood flow. ##Dataset Scope and Objectives## The primary objective of this dataset is to advance the understanding of dementia through the lens of neuroimaging. By examining the relationship between local cerebral blood flow and metabolic function, the study aims to identify patterns that correlate with dementia. The ultimate goal is to enhance the diagnosis and understanding of dementia by correlating cerebral blood flow patterns with glucose metabolism changes in the brain. ##Citation Guideline## Pending
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Uploaded a new file to resource 資料集說明文件指引_v1.2.pdf in Dementia Molecular Imaging Clinical Database
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31 | "maintainer": "Jung-Ling Fuh, MD", | 31 | "maintainer": "Jung-Ling Fuh, MD", | ||
32 | "maintainer_email": "stellafuh@gmail.com", | 32 | "maintainer_email": "stellafuh@gmail.com", | ||
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t | 36 | "notes": "##Overview##\r\n\r\nThis dataset forms the foundation of a | t | 36 | "notes": "##Overview##\r\n\r\nThis dataset is at the core of a |
37 | pioneering study aimed at understanding and diagnosing dementia | 37 | dementia research project focused on the exploration and diagnosis of | ||
38 | through advanced imaging techniques. It encapsulates data from two | 38 | dementia using advanced imaging technologies. It integrates data | ||
39 | molecular imaging methods: Single-Photon Emission Computed Tomography | 39 | collected through Single-Photon Emission Computed Tomography (SPECT). | ||
40 | (SPECT) and Fluorodeoxyglucose Positron Emission Tomography (FDG-PET), | 40 | \r\n\r\n##Dataset Composition##\r\n\r\nThe dataset comprises images | ||
41 | which are instrumental in the clinical diagnosis of dementia. The | 41 | and data obtained from SPECT scans. SPECT imaging helps in assessing | ||
42 | study explores the relationship between local cerebral blood flow and | 42 | cerebral blood flow.\r\n\r\n##Dataset Scope and | ||
43 | metabolic function changes, leveraging the high correlation found | 43 | Objectives##\r\n\r\nThe primary objective of this dataset is to | ||
44 | between cerebral blood flow patterns and glucose metabolism.", | 44 | advance the understanding of dementia through the lens of | ||
45 | neuroimaging. By examining the relationship between local cerebral | ||||
46 | blood flow and metabolic function, the study aims to identify patterns | ||||
47 | that correlate with dementia. The ultimate goal is to enhance the | ||||
48 | diagnosis and understanding of dementia by correlating cerebral blood | ||||
49 | flow patterns with glucose metabolism changes in the | ||||
50 | brain.\r\n\r\n##Citation Guideline##\r\nPending", | ||||
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172 | } | 178 | } | ||
173 | ], | 179 | ], | ||
174 | "title": "Dementia Molecular Imaging Clinical Database", | 180 | "title": "Dementia Molecular Imaging Clinical Database", | ||
175 | "type": "dataset", | 181 | "type": "dataset", | ||
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177 | "version": "" | 183 | "version": "" | ||
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