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Interfractional Displacement Analysis of the Spinal Cord for 21 Head & Neck Cases in Radiation Therapy Planning

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Bildverarbeitung für die Medizin 2009

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

A monomodal slice-based displacement analysis of the spinal cord for three-dimensional computer tomography imaging in radiation therapy planning is presented. In total, 21 head and neck cases with tumor indications close to the spinal cord are studied and evaluated. Two-dimensional cross-correlation is applied to propagate manually segmented contours of the spinal cord from a high-resolution planning CT to subsequently acquired control CTs. The method and the fully automatic implementation turned out to be reliable and robust. A very few manual corrections on the resulting contours remained necessary in single transversal slices.

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References

  1. Schlegel W, Mahr A. 3D conformal radiation therapy. Berlin Heidelberg New York: Springer Verlag; 2001. A multimedia introduction to methods and techniques.

    Google Scholar 

  2. Hysing LB, Skorpen TN, Alber M, et al. Influence of organ motion on conformal vs. intensity-modulated pelvic radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys. 2009;71(5):1496–503.

    Google Scholar 

  3. Moser T, Biederer J, Nill S, et al. Detection of respiratory motion in fluoroscopic images for adaptive radiotherapy. Phys Med Biol. 2008;53(12):3129–45.

    Article  Google Scholar 

  4. Maintz JB, Viergever MA. A survey of medical image registration. Med Image Anal. 1998;2(l):l–36.

    Google Scholar 

  5. Li P, Maisch U, Bendl R. Combination of intensity-based image registration with 3D simulation in radiation therapy. Phys Med Biol. 2008;53(17):4621–4637.

    Article  Google Scholar 

  6. Maisch U, Thieke C, Bendl R. Fast elastic registration for adaptive radiotherapy. Comput Assist Interv. 2006;9(2):612–9.

    Google Scholar 

  7. Floca RO, Metzner R, Wirtz CR., et al. Entwicklung und Optimierung eines elastischen Registrierungsverfahrens für CTA und RA Daten. Procs BVM. 2008; p. 133–137.

    Google Scholar 

  8. Klinder T, Wolz R,, Lorenz C,et al. Spine segmentation using articulated shape models. Proc MICCAI. 2008; p. 227–234.

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Stoll, A., Giske, K., Stoiber, E., Bendl, R. (2009). Interfractional Displacement Analysis of the Spinal Cord for 21 Head & Neck Cases in Radiation Therapy Planning. 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_61

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