Ultrasound-based liver tracking utilizing a hybrid template/optical flow approach

Ultrasound-based liver tracking utilizing a hybrid template/optical flow approach Purpose With the ongoing shift toward reduced invasiveness in many surgical procedures, methods for tracking moving targets within the body become vital. Non-invasive treatment methods such as stereotactic radiation therapy and high intensity focused ultrasound, in particular, rely on the accurate localization of targets throughout treatment to ensure optimal treatment provision. This work aims at developing a robust, accurate and fast method for target tracking based on ultrasound images. Methods A method for tracking of targets in real-time ultrasound image data was developed, based on the combination of template matching, dense optical flow and image intensity information. A weighting map is generated from each of these approaches which are then normalized, weighted and combined, with the weighted mean position then calculated to predict the current position. The approach was evaluated on the Challenge for Liver Ultrasound Tracking 2015 dataset, consisting of a total of 24 training and 39 test datasets with a total of 53 and 85 annotated targets throughout the liver, respectively. Results The proposed method was implemented in MATLAB and achieved an accuracy of 0.80 ± 0.80 (95%: 1.91) mm and 0.74 ± 1.03 (95%: 1.85) mm on the training and test data, respectively. Tracking frequencies of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

Ultrasound-based liver tracking utilizing a hybrid template/optical flow approach

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Publisher
Springer International Publishing
Copyright
Copyright © 2018 by CARS
Subject
Medicine & Public Health; Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general
ISSN
1861-6410
eISSN
1861-6429
D.O.I.
10.1007/s11548-018-1780-0
Publisher site
See Article on Publisher Site

Abstract

Purpose With the ongoing shift toward reduced invasiveness in many surgical procedures, methods for tracking moving targets within the body become vital. Non-invasive treatment methods such as stereotactic radiation therapy and high intensity focused ultrasound, in particular, rely on the accurate localization of targets throughout treatment to ensure optimal treatment provision. This work aims at developing a robust, accurate and fast method for target tracking based on ultrasound images. Methods A method for tracking of targets in real-time ultrasound image data was developed, based on the combination of template matching, dense optical flow and image intensity information. A weighting map is generated from each of these approaches which are then normalized, weighted and combined, with the weighted mean position then calculated to predict the current position. The approach was evaluated on the Challenge for Liver Ultrasound Tracking 2015 dataset, consisting of a total of 24 training and 39 test datasets with a total of 53 and 85 annotated targets throughout the liver, respectively. Results The proposed method was implemented in MATLAB and achieved an accuracy of 0.80 ± 0.80 (95%: 1.91) mm and 0.74 ± 1.03 (95%: 1.85) mm on the training and test data, respectively. Tracking frequencies of

Journal

International Journal of Computer Assisted Radiology and SurgerySpringer Journals

Published: Jun 5, 2018

References

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