Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer’s disease and mild cognitive impairment
Abstract
Alzheimer’s disease (AD) is the most common form of progressive and irreversible dementia, and accurate diagnosis of AD at its prodromal stage is clinically important. Currently, computer-aided diagnosis of AD and mild cognitive impairment (MCI) using 18F-fluorodeoxy-glucose positron emission tomography (18F-FDG PET) imaging is usually based on low-level imaging features or deep learning methods, which have difficulties in achieving sufficient classification accuracy or lack clinical significance. This research therefore aimed to implement a new feature extraction method known as radiomics, to improve the classification accuracy and discover high-order features that can reveal pathological information.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2019
- Source ID
- 10.1177/1756286419838682
Entities
People
- Chuantao Zuo
- Huiwei Zhang
- Jiaying Lu
- Jiehui Jiang
- Juanjuan Jiang
- Yupeng Li
Organizations
- Fudan University
- National Institute of Biomedical Imaging and Bioengineering
- National Natural Science Foundation of China
- Program 973
- Shanghai Municipal Science and Technology Commission
- Shanghai University