Patch-driven neonatal brain MRI segmentation with sparse representation and level sets

Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen

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

6 Citations (Scopus)

Abstract

Neonatal brain MR image segmentation is challenging due to the poor image quality. In this paper, we propose a novel patch-driven level sets method for segmentation of neonatal brain images by taking advantage of sparse representation techniques. Specifically, we first build a subject-specific atlas from a library of aligned, manually segmented images by using sparse representation in a patch-based fashion. Then, the spatial consistency in the subject-specific atlas is further enforced by considering the similarities of a patch with its neighboring patches. Finally, this subject-specific atlas is integrated into a coupled level set framework for surface-based neonatal brain segmentation. The proposed method has been extensively evaluated on 20 training subjects using leave-one-out cross validation, and on 132 additional testing subjects. Both quantitative and qualitative evaluation results demonstrate the validity of the proposed method.

Original languageEnglish
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages1090-1093
Number of pages4
DOIs
Publication statusPublished - 2013 Aug 22
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: 2013 Apr 72013 Apr 11

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period13/4/713/4/11

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Keywords

  • Neonatal brain MRI
  • atlas based segmentation
  • coupled level set (CLS)
  • elastic net
  • sparse representation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Wang, L., Shi, F., Li, G., Lin, W., Gilmore, J. H., & Shen, D. (2013). Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. In ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (pp. 1090-1093). [6556668] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2013.6556668