Abstract
Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and straight objects in noisy 3D image data. It uses a Hough-based segmentation approach, which has been exemplary adapted for the application on prostate biopsy data. An evaluation was performed on in-vivo 3D US data and shows promising results. Angular segmentation accuracy was evaluated with a mean of 2.1 degrees, which is comparable to human observers.
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References
Okazawa SH, Ebrahimi R, Chuang J, et al. Methods for segmenting curved needles in ultrasound images. Med Image Anal. 2006.
Ding M, Cardinal HN, Fenster A. Automatic needle segmentation in three-dimensional ultrasound images using two orthogonal two-dimensional image projections. Med Phys. 2003;30/2.
Barva M. Localization of surgical instruments in biological tissue from 3D ultrasound images. 2007.
Heimann T, Baumhauer M, Simpfendörfer T, et al. Prostate Segmentation from 3D Transrectal Ultrasound Using Statistical Shape Models. Proc SPIE; 2008.
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© 2009 Springer-Verlag Berlin Heidelberg
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Hartmann, P., Baumhauer, M., Rassweiler, J., Meinzer, HP. (2009). Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach. In: Meinzer, HP., Deserno, T.M., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93860-6_69
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DOI: https://doi.org/10.1007/978-3-540-93860-6_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-93859-0
Online ISBN: 978-3-540-93860-6
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