BEM-based simulation of lung respiratory deformation for CT-guided biopsy

BEM-based simulation of lung respiratory deformation for CT-guided biopsy Int J CARS (2017) 12:1585–1597 DOI 10.1007/s11548-017-1603-8 ORIGINAL ARTICLE BEM-based simulation of lung respiratory deformation for CT-guided biopsy 1 2 2 2 Dong Chen · Weisheng Chen · Lipeng Huang · Xuegang Feng · 3 1 Terry Peters · Lixu Gu Received: 10 October 2016 / Accepted: 27 April 2017 / Published online: 10 May 2017 © CARS 2017 Abstract model. Results reveal that it is possible to predict the lung Purpose Accurate and real-time prediction of the lung and motion with ASSD of 1.9 ± 0.8 mm and a mean TRE of lung tumor deformation during respiration are important con- 2.5±2.1 mm at largest over the entire respiratory cycle. In the siderations when performing a peripheral biopsy procedure. CT-/electromagnetic-guided biopsy experiment, the whole However, most existing work focused on offline whole lung process was assisted by our BEM model and final puncture simulation using 4D image data, which is not applicable in errors in two studies were 3.1 and 2.0 mm, respectively. real-time image-guided biopsy with limited image resources. Conclusion The experiment results reveal that both the In this paper, we propose a patient-specific biomechanical accuracy of simulation and real-time performance meet the model based on the boundary http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

BEM-based simulation of lung respiratory deformation for CT-guided biopsy

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 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/s11548-017-1603-8
Publisher site
See Article on Publisher Site

Abstract

Int J CARS (2017) 12:1585–1597 DOI 10.1007/s11548-017-1603-8 ORIGINAL ARTICLE BEM-based simulation of lung respiratory deformation for CT-guided biopsy 1 2 2 2 Dong Chen · Weisheng Chen · Lipeng Huang · Xuegang Feng · 3 1 Terry Peters · Lixu Gu Received: 10 October 2016 / Accepted: 27 April 2017 / Published online: 10 May 2017 © CARS 2017 Abstract model. Results reveal that it is possible to predict the lung Purpose Accurate and real-time prediction of the lung and motion with ASSD of 1.9 ± 0.8 mm and a mean TRE of lung tumor deformation during respiration are important con- 2.5±2.1 mm at largest over the entire respiratory cycle. In the siderations when performing a peripheral biopsy procedure. CT-/electromagnetic-guided biopsy experiment, the whole However, most existing work focused on offline whole lung process was assisted by our BEM model and final puncture simulation using 4D image data, which is not applicable in errors in two studies were 3.1 and 2.0 mm, respectively. real-time image-guided biopsy with limited image resources. Conclusion The experiment results reveal that both the In this paper, we propose a patient-specific biomechanical accuracy of simulation and real-time performance meet the model based on the boundary

Journal

International Journal of Computer Assisted Radiology and SurgerySpringer Journals

Published: May 10, 2017

References

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