Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval

Sidong Liu*, Weidong Cai, Lingfeng Wen, David Dagan Feng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

10 Citations (Scopus)

Abstract

Accurate neuroimaging feature extraction is essential for effective content-based management of the large neuroimaging databases, as well as achieving improved diagnosis. In this paper, we presented a multiscale and multi-orientation neuroimaging feature extraction algorithm with degenerative patterns for content-based 3D neuroimaging analysis and retrieval, based on the localized 3D Gabor wavelets. Our proposed approach was evaluated with 209 3D clinical neurological imaging studies and compared with the 3D discrete curvelet transform based method and the 3D spatial grey level co-occurrence matrices based method. The preliminary results suggested that our algorithm could support more reliable 3D neuroimaging retrieval.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1249-1252
Number of pages4
ISBN (Electronic)9781467325325
ISBN (Print)9781467325332, 9781467325349
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 30 Sep 20123 Oct 2012

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period30/09/123/10/12

Keywords

  • feature extraction
  • localized 3D Gabor wavelets
  • neuroimaging retrieval

Fingerprint

Dive into the research topics of 'Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval'. Together they form a unique fingerprint.

Cite this