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Journal article

Classification of amyloid PET images using novel features for early diagnosis of Alzheimer’s disease and mild cognitive impairment conversion

Abstract:

Background New PET tracers could have a substantial impact on the early diagnosis of Alzheimer’s disease (AD), particularly if they are accompanied by optimised image analysis and machine learning methods. Fractal dimension (FD) analysis, a measure of shape complexity, has been proven useful in MRI but its application to fluorine-18 amyloid PET has not yet been demonstrated. Shannon entropy (SE) has also been proposed as a measure of image complexity in DTI imaging, but it...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
  • (Accepted manuscript, pdf, 568.6KB)
Publisher copy:
10.1097/mnm.0000000000000953

Authors


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Institution:
University of Oxford
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Lippincott, Williams and Wilkins
Journal:
Nuclear Medicine Communications More from this journal
Volume:
40
Issue:
3
Pages:
242–248
Publication date:
2019-01-23
Acceptance date:
2018-10-31
DOI:
EISSN:
1473-5628
ISSN:
0143-3636
Pmid:
30507747
Language:
English
Pubs id:
pubs:952761
UUID:
uuid:f32abd30-2ee6-4893-b980-684792dba1f3
Local pid:
pubs:952761
Source identifiers:
952761
Deposit date:
2019-01-09

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