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Localization of brachytherapy seeds in ultrasound by registration to fluoroscopy.

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Title: Localization of brachytherapy seeds in ultrasound by registration to fluoroscopy.
Author: Fallavollita, Pascal; KarimAghaloo, Zahra; Burdette, Everette Clif; Song, Danny Y.; Abolmaesumi, Purang; Fichtinger, Gabor
Issue Date: 2010
Publicly Available in cIRcle 2011-08-16
Publisher Society of Photo-Optical Instrumentation Engineers
Citation: Fallavollita, Pascal; KarimAghaloo, Zahra; Burdette, Everette Clif; Song, Danny Y.; Abolmaesumi, Purang; Fichtinger, Gabor. Localization of brachytherapy seeds in ultrasound by registration to fluoroscopy. Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, edited by Kenneth H. Wong, Michael I. Miga, Proceedings of SPIE, Volume 7625, 762519, 2010. http://dx.doi.org/10.1117/12.844015
Abstract: Motivation: In prostate brachytherapy, transrectal ultrasound (TRUS) is used to visualize the anatomy, while implanted seeds can be seen in C-arm fluoroscopy or CT. Intra-operative dosimetry optimization requires localization of the implants in TRUS relative to the anatomy. This could be achieved by registration of TRUS images and the implants reconstructed from fluoroscopy or CT. Methods: TRUS images are filtered, compounded, and registered on the reconstructed implants by using an intensity-based metric based on a 3D point-to-volume registration scheme. A phantom was implanted with 48 seeds, imaged with TRUS and CT/X-ray. Ground-truth registration was established between the two. Seeds were reconstructed from CT/X-ray. Seven TRUS filtering techniques and two image similarity metrics were analyzed as well. Results: For point-to-volume registration, noise reduction combined with beam profile filter and mean squares metrics yielded the best result: an average of 0.38 ± 0.19 mm seed localization error relative to the ground-truth. In human patient data C-arm fluoroscopy images showed 81 radioactive seeds implanted inside the prostate. A qualitative analysis showed clinically correct agreement between the seeds visible in TRUS and reconstructed from intra-operative fluoroscopy imaging. The measured registration error compared to the manually selected seed locations by the clinician was 2.86 ± 1.26 mm. Conclusion: Fully automated seed localization in TRUS performed excellently on ground-truth phantom, adequate in clinical data and was time efficient having an average runtime of 90 seconds. Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Affiliation: Electrical and Computer Engineering, Dept of
URI: http://hdl.handle.net/2429/36693
Peer Review Status: Reviewed
Scholarly Level: Faculty

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