Abstract
By this contribution we tackle the challenge of extracting fuzzy, curvilinear fine structures from medical image data. The dissection membrane represents a highly tortuous fine structure within aortas of dissection patients. Due to its variability in topology and morphology, extraction by any assumed shape priors is deemed to fail. Based on the response of 3D/2D phase congruency filter, we select a segment of high significance in order to remove false positives within each CTA slice. Multicriterial, greedy tracking serves for membrane completion, while a inter-slice grouping algorithm performs detection of global outliers. Erroneous slice results are replaced using sampled membrane segments from adjacent slices. Our proposed algorithm not only improves the membrane segmentation by up to 32% when compared to stand-alone usage of local phase features, but also enables separation of the true and false lumen.
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References
Kovács T, Cattin P, Alkadhi H, et al. Automatic segmentation of the aortic dissection membrane from 3D CTA images. Med Imaging Augmented Real. 2006; p. 317–24.
Krissian K, Carreira JM, Esclarin J, et al. Semi-automatic segmentation and detection of aorta dissection wall in MDCT angiography. Med Image Anal. 2014;18(1):83–102.
Morariu CA, Dohle DS, Tsagakis K, et al. Extraction of the aortic dissection membrane via spectral phase information. Proc BVM. 2015; p. 305–10.
Morariu C, Terheiden T, Dohle D, et al. Increasing the feasibility of minimally invasive procedures in type A aortic dissections: a framework for segmentation and quantification. Int J Comput Assist Radiol Surg. 2015; p. 10 pages.
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Morariu, C., Huckfeldt, S., Dohle, D., Tsagakis, K., Pauli, J. (2016). A Greedy Completion Algorithm for Retrieving Fuzzy Fine Structures. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_8
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DOI: https://doi.org/10.1007/978-3-662-49465-3_8
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-49464-6
Online ISBN: 978-3-662-49465-3
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