NDLI: A visi-coil fiducial markers detection method on kV projection images during prostate radiation therapy

Content Provider	IEEE Xplore Digital Library
Author	Badiei, S. Ling Zhuang Jia Li
Copyright Year	2013
Description	Author affiliation: Oakland Univ., Rochester, MI, USA (Badiei, S.; Jia Li) \|\| William Beaumont Hosp., Royal Oak, MI, USA (Ling Zhuang)
Abstract	Here an accurate automated method based on fast marching approach for detecting visi-coil fiducial markers by using kV imaging is presented. Visi-coil segmentation in each kV image is performed on one marker at a time via fast marching method which requires user input of the endpoints. Initially, a 3D model was extracted by thresholding CT images and is used here as reference. The reference 3D model is re-projected onto the kV images. The new 2D re-projection points provide information about the direction of the markers and zones within which each marker endpoint may lie. This information is employed to detect the start and end point of each visi-coil and remove user input in the fast marching method. A 3D reconstruction of the markers is computed from the segmentation results. The proposed automated visi-coil detection algorithm can increase accuracy of marker location on noisy images and when obscured by boney tissue.
Starting Page	1
Ending Page	5
File Size	381618
Page Count	5
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829057
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Image segmentation Solid modeling Mathematical model Biomedical applications of radiation Computational modeling Computed tomography
Content Type	Text
Resource Type	Article

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