Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas

Feng Shi, Yong Fan, Songyuan Tang, John Gilmore, Weili Lin, Dinggang Shen

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

3 Citations (Scopus)

Abstract

Brain tissue segmentation of neonate MR images is a challenging task in study of early brain development, due to low signal contrast among brain tissues and high intensity variability especially in white matter. Among various brain tissue segmentation algorithms, the atlas-based segmentation techniques can potentially produce reasonable segmentation results on neonatal brain images. However, their performance on the population-based atlas is still limited due to the high variability of brain structures across different individuals. Moreover, it may be impossible to generate a reasonable probabilistic atlas for neonates without tissue segmentation samples. To overcome these limitations, we present a neonatal brain tissue segmentation method by taking advantage of the longitudinal data available in our study to establish a subject-specific probabilistic atlas. In particular, tissue segmentation of the neonatal brain is formulated as two iterative steps of bias correction and probabilistic atlas based tissue segmentation, along with the guidance of brain tissue segmentation resulted from the later time images of the same subject which serve as a subject-specific probabilistic atlas. The proposed method has been evaluated qualitatively through visual inspection and quantitatively by comparing with manual delineation results. Experimental results show that the utilization of a subject-specific probabilistic atlas can substantially improve tissue segmentation of neonatal brain images.

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
DOIs
Publication statusPublished - 2009 Dec 15
Externally publishedYes
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: 2009 Feb 82009 Feb 10

Other

OtherMedical Imaging 2009 - Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period09/2/809/2/10

Fingerprint

Atlases
brain
Brain
Tissue
delineation
inspection
Inspection

Keywords

  • Neonate
  • Probabilistic atlas
  • Subject-specific atlas
  • Tissue segmentation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Shi, F., Fan, Y., Tang, S., Gilmore, J., Lin, W., & Shen, D. (2009). Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7259). [725942] https://doi.org/10.1117/12.811610

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. / Shi, Feng; Fan, Yong; Tang, Songyuan; Gilmore, John; Lin, Weili; Shen, Dinggang.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009. 725942.

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

Shi, F, Fan, Y, Tang, S, Gilmore, J, Lin, W & Shen, D 2009, Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7259, 725942, Medical Imaging 2009 - Image Processing, Lake Buena Vista, FL, United States, 09/2/8. https://doi.org/10.1117/12.811610
Shi F, Fan Y, Tang S, Gilmore J, Lin W, Shen D. Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259. 2009. 725942 https://doi.org/10.1117/12.811610
Shi, Feng ; Fan, Yong ; Tang, Songyuan ; Gilmore, John ; Lin, Weili ; Shen, Dinggang. / Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009.
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