Detecting brain structural changes as biomarker from magnetic resonance images using a local feature based SVM approach.
- Resource Type
- Article
- Authors
- Chen, Ye; Storrs, Judd; Tan, Lirong; Mazlack, Lawrence J.; Lee, Jing-Huei; Lu, Long J.
- Source
- Journal of Neuroscience Methods. Jan2014, Vol. 221, p22-31. 10p.
- Subject
- *BRAIN anatomy
*BIOMARKERS
*MAGNETIC resonance imaging of the brain
*ALZHEIMER'S disease
*PARKINSON'S disease
*BIPOLAR disorder
*COMPARATIVE studies
- Language
- ISSN
- 0165-0270
Highlights: [•] Identify noise local image features by comparing features from disease group and healthy control group. [•] Support vector machine is used to classify image features. [•] Disease related regions are identified from three different diseases (Alzheimer's disease, Parkinson's disease and bipolar disorder). [•] The algorithm can be used to analyze MR images from heterogeneous datasets. [ABSTRACT FROM AUTHOR]