Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil

Feng Shi, Pew Thian Yap, Yong Fan, Jie Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen, Lab Idea

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

Abstract

The acquisition of high quality MR images of neonatal brains is largely hampered by their characteristically small head size and low tissue contrast. As a result, subsequent image processing and analysis, especially for brain tissue segmentation, are often hindered. To overcome this problem, a dedicated phased array neonatal head coil is utilized to improve MR image quality by effectively combing images obtained from 8 coil elements without lengthening data acquisition time. In addition, a subject-specific atlas based tissue segmentation algorithm is specifically developed for the delineation of fine structures in the acquired neonatal brain MR images. The proposed tissue segmentation method first enhances the sheet-like cortical gray matter (GM) structures in neonatal images with a Hessian filter for generation of cortical GM prior. Then, the prior is combined with our neonatal population atlas to form a cortical enhanced hybrid atlas, which we refer to as the subject-specific atlas. Various experiments are conducted to compare the proposed method with manual segmentation results, as well as with additional two population atlas based segmentation methods. Results show that the proposed method is capable of segmenting the neonatal brain with the highest accuracy, compared to other two methods.

Original languageEnglish
Title of host publication2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
Pages39-45
Number of pages7
DOIs
Publication statusPublished - 2009 Nov 20
Externally publishedYes
Event2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009 - Miami, FL, United States
Duration: 2009 Jun 202009 Jun 25

Other

Other2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
CountryUnited States
CityMiami, FL
Period09/6/2009/6/25

Fingerprint

Brain
Tissue
Image analysis
Image quality
Data acquisition
Image processing
Experiments

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Cite this

Shi, F., Yap, P. T., Fan, Y., Cheng, J. Z., Wald, L. L., Gerig, G., ... Idea, L. (2009). Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009 (pp. 39-45). [5204348] https://doi.org/10.1109/CVPR.2009.5204348

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. / Shi, Feng; Yap, Pew Thian; Fan, Yong; Cheng, Jie Zhi; Wald, Lawrence L.; Gerig, Guido; Lin, Weili; Shen, Dinggang; Idea, Lab.

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. 2009. p. 39-45 5204348.

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

Shi, F, Yap, PT, Fan, Y, Cheng, JZ, Wald, LL, Gerig, G, Lin, W, Shen, D & Idea, L 2009, Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. in 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009., 5204348, pp. 39-45, 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, Miami, FL, United States, 09/6/20. https://doi.org/10.1109/CVPR.2009.5204348
Shi F, Yap PT, Fan Y, Cheng JZ, Wald LL, Gerig G et al. Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. 2009. p. 39-45. 5204348 https://doi.org/10.1109/CVPR.2009.5204348
Shi, Feng ; Yap, Pew Thian ; Fan, Yong ; Cheng, Jie Zhi ; Wald, Lawrence L. ; Gerig, Guido ; Lin, Weili ; Shen, Dinggang ; Idea, Lab. / Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. 2009. pp. 39-45
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