Automatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filter

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dc.contributor.authorZhao, Yitian
dc.contributor.authorZhao, Yitian
dc.contributor.authorZheng, Yalin
dc.contributor.authorLiu, Yonghuai
dc.contributor.authorZhao, Yifan
dc.contributor.authorLuo, Lingling
dc.contributor.authorYang, Siyuan
dc.contributor.authorNa, Tong
dc.contributor.authorWang, Yongtian
dc.contributor.authorLiu, Jiang
dc.date.accessioned2017-09-28T12:43:27Z
dc.date.available2017-09-28T12:43:27Z
dc.date.issued2017-09-26
dc.description.abstractAutomated detection of vascular structures is of great importance in understanding the mechanism, diagnosis and treatment of many vascular pathologies. However, automatic vascular detection continues to be an open issue because of difficulties posed by multiple factors such as poor contrast, inhomogeneous backgrounds, anatomical variations, and the presence of noise during image acquisition. In this paper, we propose a novel 2D/3D symmetry filter to tackle these challenging issues for enhancing vessels from different imaging modalities. The proposed filter not only considers local phase features by using a quadrature filter to distinguish between lines and edges, but also uses the weighted geometric mean of the blurred and shifted responses of the quadrature filter, which allows more tolerance of vessels with irregular appearance. As a result, this filter shows a strong response to the vascular features under typical imaging conditions. Results based on 8 publicly available datasets (six 2D datasets, one 3D dataset and one 3D synthetic dataset) demonstrate its superior performance to other state-ofthe- art methods.en_UK
dc.identifier.citationZhao Y, Zheng Y, Liu Y., (2017) Automatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filter, IEEE Transactions on Medical Imaging, Volume 37, Issue 2, February 2018, pp. 438-450en_UK
dc.identifier.issn0278-0062
dc.identifier.urihttp://dx.doi.org/10.1109/TMI.2017.2756073
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12555
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectSymmetry filteren_UK
dc.subjectLocal phaseen_UK
dc.subjectVascularen_UK
dc.subjectEnhancementen_UK
dc.subjectAngiographyen_UK
dc.titleAutomatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filteren_UK
dc.typeArticleen_UK

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