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Segmentation of brain blood vessels using projections in 3-D CT angiography images

Danilo Babin (UGent) , Ewout Vansteenkiste (UGent) , Aleksandra Pizurica (UGent) and Wilfried Philips (UGent)
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Abstract
Segmenting cerebral blood vessels is of great importance in diagnostic and clinical applications, especially in quantitative diagnostics and surgery on aneurysms and arteriovenous malformations (AVM). Segmentation of CT angiography images requires algorithms robust to high intensity noise, while being able to segment low-contrast vessels. Because of this, most of the existing methods require user intervention. In this work we propose an automatic algorithm for efficient segmentation of 3-D CT angiography images of cerebral blood vessels. Our method is robust to high intensity noise and is able to accurately segment blood vessels with high range of luminance values, as well as low-contrast vessels.
Keywords
brain, computerised tomography, blood vessels, image segmentation, diagnostic radiography, medical image processing, noise

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Please use this url to cite or link to this publication:

Chicago
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pizurica, and Wilfried Philips. 2011. “Segmentation of Brain Blood Vessels Using Projections in 3-D CT Angiography Images.” In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 8475–8478. Piscataway, NJ, USA: IEEE.
APA
Babin, D., Vansteenkiste, E., Pizurica, A., & Philips, W. (2011). Segmentation of brain blood vessels using projections in 3-D CT angiography images. 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 8475–8478). Presented at the 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Babin D, Vansteenkiste E, Pizurica A, Philips W. Segmentation of brain blood vessels using projections in 3-D CT angiography images. 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway, NJ, USA: IEEE; 2011. p. 8475–8.
MLA
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pizurica, et al. “Segmentation of Brain Blood Vessels Using Projections in 3-D CT Angiography Images.” 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway, NJ, USA: IEEE, 2011. 8475–8478. Print.
@inproceedings{1998748,
  abstract     = {Segmenting cerebral blood vessels is of great importance in diagnostic and clinical applications, especially in quantitative diagnostics and surgery on aneurysms and arteriovenous malformations (AVM). Segmentation of CT angiography images requires algorithms robust to high intensity noise, while being able to segment low-contrast vessels. Because of this, most of the existing methods require user intervention. In this work we propose an automatic algorithm for efficient segmentation of 3-D CT angiography images of cerebral blood vessels. Our method is robust to high intensity noise and is able to accurately segment blood vessels with high range of luminance values, as well as low-contrast vessels.},
  author       = {Babin, Danilo and Vansteenkiste, Ewout and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  isbn         = {9781424441228},
  keyword      = {brain,computerised tomography,blood vessels,image segmentation,diagnostic radiography,medical image processing,noise},
  language     = {eng},
  location     = {Boston, MA, USA},
  pages        = {8475--8478},
  publisher    = {IEEE},
  title        = {Segmentation of brain blood vessels using projections in 3-D CT angiography images},
  url          = {http://dx.doi.org/10.1109/IEMBS.2011.6092091},
  year         = {2011},
}

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