Abstract
Ultrasound imaging offers a fast, convenient and save instrument to conduct patient examinations for various medical scenarios. However, depending on the target region, occluding bone segments and other materials cause large and undesirable shadowing artifacts. Thus, the experience of the ultrasound operator is crucial for obtaining an ultrasound without artifacts for patient diagnosis. Even more so, when applying automated image processing algorithms. We therefore like to introduce our automatic 3D ultrasound shadow detection method that employs scan line energy and local image entropy information. Applying the method can help to prevent low quality image acquisitions with large shadowing artifacts by indicating shadow occurrences.
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References
Loizou C, Pattichis CS, Istepanian R, et al. Ultrasound image quality evaluation. IEEE Inf Technol Appl Biomed. 2003; p. 138–41.
Karamalis A, Wein W, Klein T, et al. Ultrasound confidence maps using random walks. Med Image Anal. 2012;16(6):1101–12.
Basij M, Moallem P, Yazdchi M, et al. Automatic shadow detection in intra vascular ultrasound images using adaptive thresholding. Proc IEEE Int Conf Syst Man Cybern. 2012; p. 2173–7.
Hellier P, Coupe P, Meyer P, et al. Acoustic shadows detection, application to accurate reconstruction of 3D intraoperative ultrasound. Proc IEEE ISBI. 2008; p. 1569–72.
Zimmer Y, Akselrod S, Tepper R. The distribution of the local entropy in ultrasound images. Ultrasound Med Biol. 1996;22(4):431–9.
van Ginneken B, Heimann T, Styner M. 3D segmentation in the clinic: a grand challenge. Proc MICCAI. 2007;10:7–15.
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Noll, M., Puhl, J., Wesarg, S. (2014). Enhanced Shadow Detection for 3D Ultrasound. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_45
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DOI: https://doi.org/10.1007/978-3-642-54111-7_45
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