Abstract
The segmentation and visualization of the esophagus is helpful during planing and performing atrial ablation therapy to avoid esophageal injury. Only very few studies have addressed this segmentation problem which is challenging because the esophagus has a low contrast in medical images. In this work we present a technique to segment the esophagus based on the interpolation of Fourier descriptors of manually drawn contours. The interpolation is spatially-constrained using a dedicated correction term to avoid intersections with the convex shaped left atrial posterior wall. Our technique is fast, modality independent and achieves optimal results if at least three input contours are used. We validated our technique successfully with patient data and discuss the use of our technique in the clinical workflow.
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References
Pappone C, Oral H, Santinelli V, et al. Atrio-esophageal fistula as a complication of percutaneous transcatheter ablation of atrial fibrillation. Circulation. 2004;109(22):2724–26.
Cury RC, Abbara S, Schmidt S, et al. Relationship of the esophagus and aorta to the left atrium and pulmonary veins: Implications for catheter ablation of atrial fibrillation. Heart Rhythm. 2005;2(12):1317–23.
Lauritsch G, Boese J, Wigström L, et al. Towards cardiac C-arm computed tomography. IEEE Trans Med Imaging. 2006;25(7):922–34.
Rousson M, Bai Y, Xu C, et al. Probabilistic Minimal Path for Automated Esophagus Segmentation. Proc SPIE. 2006;6144:49–4H.
Ragan D, Starkschall G, McNutt T, et al. Semiautomated four-dimensional computed tomography segmentation using deformable models. Med Phys. 2005;32(7):2254–61.
Huang TC, Zhang G, Guerrero T, et al. Semi-automated CT segmentation using optic flow and Fourier interpolation techniques. Comput Methods Programs Biomed. 2006;84(2–3):124–34.
Jeong Y, Radke RJ. Reslicing axially sampled 3D shapes using elliptic Fourier descriptors. Med Image Anal. 2007;11(2):197–206.
Boissonnat JD. Shape reconstruction from planar cross sections. Computer Vis Graph Image Process. 1988;44(1):1–29.
Turk G, O’Brien JF. Shape Transformation Using Variational Implicit Functions. Comput Graph (ACM). 1999;33:335–42.
Zahn CT, Roskies RZ. Fourier descriptors for plane closed curves. IEEE Trans Comp. 1972;C-21(3):269–81.
Heimann T, Thorn M, Kunert T, et al. Empirische Vergleichsmaße für die Evaluation von Segmentierungsergebnissen. Proc BVM. 2004; p. 165–9.
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© 2008 Springer-Verlag Berlin Heidelberg
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Fieselmann, A., Lautenschläger, S., Deinzer, F., John, M., Poppe, B. (2008). Esophagus Segmentation by Spatially-Constrained Shape Interpolation. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_50
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DOI: https://doi.org/10.1007/978-3-540-78640-5_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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