Loading [a11y]/accessibility-menu.js
Investigation of Bi-Gaussian kernel for vessel detection in level-set based segmentation framework | IEEE Conference Publication | IEEE Xplore

Investigation of Bi-Gaussian kernel for vessel detection in level-set based segmentation framework


Abstract:

Accuracy in segmenting of brain vessels from medical angiographic data is crucial for further modelling and assessment of the human vasculature. It was demonstrated that ...Show More

Abstract:

Accuracy in segmenting of brain vessels from medical angiographic data is crucial for further modelling and assessment of the human vasculature. It was demonstrated that the level set (LS) approach enhanced by the implementation of the vesselness function (VF) provides a robust segmentation framework enabling the high-quality vessel network extracted from CT and MR images. This work investigates the application of bi-Gaussian kernel for evaluation of VF to further improve segmentation results. Modified VF together with LS was applied for both artificial and real CT data. Obtained sample segmentation results were presented along with discussion and conclusion.
Date of Conference: 20-22 September 2017
Date Added to IEEE Xplore: 07 December 2017
ISBN Information:
Electronic ISSN: 2326-0319
Conference Location: Poznan, Poland

Contact IEEE to Subscribe

References

References is not available for this document.