Abstract
Tube detection filters (TDFs) are useful for segmentation and centerline extraction of tubular structures such as blood vessels and airways in medical images. Most TDFs assume that the cross-sectional profile of the tubular structure is circular. This assumption is not always correct, for instance in the case of abdominal aortic aneurysms (AAAs). Another problem with several TDFs is that they give a false response at strong edges. In this paper, a new TDF is proposed and compared to other TDFs on synthetic and clinical datasets. The results show that the proposed TDF is able to detect large non-circular tubular structures such as AAAs and avoid false positives.
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References
Bauer, C., Bischof, H.: A novel approach for detection of tubular objects and its application to medical image analysis. In: Rigoll, G. (ed.) DAGM 2008. LNCS, vol. 5096, pp. 163–172. Springer, Heidelberg (2008)
Xu, C., Prince, J.: Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7, 359–369 (1998)
Frangi, A., Niessen, W., Vincken, K., Viergever, M.: Multiscale vessel enhancement filtering. Med. Image Comput. Comput.-Assist. Interv. 1496, 130–137 (1998)
Bauer, C., Bischof, H.: Edge based tube detection for coronary artery centerline extraction. Insight J. (2008)
Bauer, C., Bischof, H.: Extracting curve skeletons from gray value images for virtual endoscopy. In: Dohi, T., Sakuma, I., Liao, H. (eds.) MIAR 2008. LNCS, vol. 5128, pp. 393–402. Springer, Heidelberg (2008)
Krissian, K., Malandain, G., Ayache, N.: Model-based detection of tubular structures in 3D images. Comput. Vis. Image Underst. 80, 130–171 (2000)
Bauer, C., Bischof, H., Beichel, R.: Segmentation of airways based on gradient vector flow. In: Proceedings of the 2nd International Workshop on Pulmonary Image Analysis. MICCAI, pp. 191–201. Citeseer (2009)
Pock, T., Beichel, R.R., Bischof, H.: A novel robust tube detection filter for 3D centerline extraction. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 481–490. Springer, Heidelberg (2005)
Bauer, C.: Segmentation of 3D tubular tree structures in medical images. Ph.D. thesis, Graz University of Technology (2010)
Smistad, E., Elster, A.C., Lindseth, F.: GPU accelerated segmentation and centerline extraction of tubular structures from medical images. Int. J. Comput. Assist. Radiol. Surg. 9, 561–575 (2014)
Han, X., Xu, C., Prince, J.: Fast numerical scheme for gradient vector flow computation using a multigrid method. IET Image Process. 1(1), 48–55 (2007)
Smistad, E., Lindseth, F.: Multigrid gradient vector flow computation on the GPU. Manuscript submitted for publication (2014)
Wink, O., Niessen, W.J., Viergever, M.A.: Fast delineation and visualization of vessels in 3-D angiographic images. IEEE Trans. Med. Imaging 19, 337–346 (2000)
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Smistad, E., Brekken, R., Lindseth, F. (2014). A New Tube Detection Filter for Abdominal Aortic Aneurysms. In: Yoshida, H., Näppi, J., Saini, S. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2014. Lecture Notes in Computer Science(), vol 8676. Springer, Cham. https://doi.org/10.1007/978-3-319-13692-9_22
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DOI: https://doi.org/10.1007/978-3-319-13692-9_22
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