Abstract
A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Narayanan, S., Cho, P.S., Marks II, R.J.: Fast cross-projection algorithm for reconstruction of seeds in prostate brachytherapy. Med. Phys. 29(7), 1572–1579 (2002)
Gong, L., et al.: Ultrasonography and fluoroscopic fusion for prostate brachytherapy dosimetry. Int. J. Radiation Oncology Biol. Phys. 54(5), 1322–1330 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Su, Y., Davis, B.J., Herman, M.G., LaJoie, W.N., Robb, R.A. (2003). Brachytherapy Seed Localization from Fluoroscopic Images Using a Statistical Classifier. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_115
Download citation
DOI: https://doi.org/10.1007/978-3-540-39903-2_115
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
Online ISBN: 978-3-540-39903-2
eBook Packages: Springer Book Archive