Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval

Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

15 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages202-205
Number of pages4
ISBN (Electronic)9781467364553
ISBN (Print)9781467364546, 9781467364560
DOIs
Publication statusPublished - 22 Aug 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: 7 Apr 201311 Apr 2013

Conference

Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period7/04/1311/04/13

Keywords

  • multi-channel analysis
  • neuroimaging retrieval

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