Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval

The high throughput 3D neuroimaging datasets have posed great challenges for neuroimaging data retrieval. To achieve more accurate neuroimaging retrieval, various content-based retrieval approaches have been proposed. Recent studies showed a tendency of using the localized features extracted from a subset of the brain structures, instead of the global features extracted from whole brain. However, these studies relied heavily on specific pattern analysis techniques or clinical expertise. In this study we proposed a Multi-Channel pattern analysis approach to identify the most discriminative disease-sensitive brain structures for neurodegenerative disorders and thus to enhance neuroimaging retrieval. The preliminary results suggested that the proposed Multi-Channel pattern analysis approach could confidently identify the brain structures with atrophy and further improve the neuroimaging retrieval performance.