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Edge intensity normalization as a bias field correction during balloon snake segmentation of breast MRI

Andrew Hill ; Andrew Mehnert (Institutionen för signaler och system) ; Stuart Crozier
Proc. 2008 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1557-170X). p. 3040 - 3043. (2008)
[Konferensbidrag, refereegranskat]

Segmentation of fat suppressed dynamic contrast enhanced MRI (DCE-MRI) image data can pose significant problems because of the inherently poor signal-to-noise ratio (SNR) and intensity variations due to the bias field. Segmentation methods such as balloon snakes, while able to operate in a poor SNR environment, are sensitive to variations in edge intensity, which are regularly encountered within DCE-MRI due to the bias field. In order to overcome the effects of the bias field, an intensity normalization based on the strength of the strongest edge, i.e. the skin-air-boundary, is proposed and evaluated. This normalization allows balloon segmentations to be run three times faster while maintaining, or even improving accuracy.



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Denna post skapades 2013-06-18.
CPL Pubid: 178725

 

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Institutioner (Chalmers)

Institutionen för signaler och system

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Livsvetenskaper
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Chalmers infrastruktur