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Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins. / De Luca, Valeria; Banerjee, Jyotirmoy; Hallack, Andre; Kondo, Satoshi; Makhinya, Maxim; Nouri, Daniel; Royer, Lucas; Cifor, Amalia; Niessen, Wiro J.; van Walsum, Theo; More Authors.

In: Medical Physics, Vol. 45, No. 11, 2018, p. 4986.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

De Luca, V, Banerjee, J, Hallack, A, Kondo, S, Makhinya, M, Nouri, D, Royer, L, Cifor, A, Niessen, WJ, van Walsum, T & More Authors 2018, 'Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins' Medical Physics, vol. 45, no. 11, pp. 4986. https://doi.org/10.1002/mp.13152

APA

De Luca, V., Banerjee, J., Hallack, A., Kondo, S., Makhinya, M., Nouri, D., ... More Authors (2018). Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins. Medical Physics, 45(11), 4986. https://doi.org/10.1002/mp.13152

Vancouver

De Luca V, Banerjee J, Hallack A, Kondo S, Makhinya M, Nouri D et al. Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins. Medical Physics. 2018;45(11):4986. https://doi.org/10.1002/mp.13152

Author

De Luca, Valeria ; Banerjee, Jyotirmoy ; Hallack, Andre ; Kondo, Satoshi ; Makhinya, Maxim ; Nouri, Daniel ; Royer, Lucas ; Cifor, Amalia ; Niessen, Wiro J. ; van Walsum, Theo ; More Authors. / Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins. In: Medical Physics. 2018 ; Vol. 45, No. 11. pp. 4986.

BibTeX

@article{45caba93b8224d80b63bad73ee927ac8,
title = "Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins",
abstract = "Purpose: Compensation for respiratory motion is important during abdominal cancer treatments. In this work we report the results of the 2015 MICCAI Challenge on Liver Ultrasound Tracking and extend the 2D results to relate them to clinical relevance in form of reducing treatment margins and hence sparing healthy tissues, while maintaining full duty cycle. Methods: We describe methodologies for estimating and temporally predicting respiratory liver motion from continuous ultrasound imaging, used during ultrasound-guided radiation therapy. Furthermore, we investigated the trade-off between tracking accuracy and runtime in combination with temporal prediction strategies and their impact on treatment margins. Results: Based on 2D ultrasound sequences from 39 volunteers, a mean tracking accuracy of 0.9 mm was achieved when combining the results from the 4 challenge submissions (1.2 to 3.3 mm). The two submissions for the 3D sequences from 14 volunteers provided mean accuracies of 1.7 and 1.8 mm. In combination with temporal prediction, using the faster (41 vs 228 ms) but less accurate (1.4 vs 0.9 mm) tracking method resulted in substantially reduced treatment margins (70{\%} vs 39{\%}) in contrast to mid-ventilation margins, as it avoided non-linear temporal prediction by keeping the treatment system latency low (150 vs 400 ms). Acceleration of the best tracking method would improve the margin reduction to 75{\%}. Conclusions: Liver motion estimation and prediction during free-breathing from 2D ultrasound images can substantially reduce the in-plane motion uncertainty and hence treatment margins. Employing an accurate tracking method while avoiding non-linear temporal prediction would be favorable. This approach has the potential to shorten treatment time compared to breath-hold and gated approaches, and increase treatment efficiency and safety.",
keywords = "image guidance, motion prediction, respiratory motion, treatment margins, ultrasound",
author = "{De Luca}, Valeria and Jyotirmoy Banerjee and Andre Hallack and Satoshi Kondo and Maxim Makhinya and Daniel Nouri and Lucas Royer and Amalia Cifor and Niessen, {Wiro J.} and {van Walsum}, Theo and {More Authors}",
year = "2018",
doi = "10.1002/mp.13152",
language = "English",
volume = "45",
pages = "4986",
journal = "Medical Physics",
issn = "0094-2405",
publisher = "AAPM - American Association of Physicists in Medicine",
number = "11",

}

RIS

TY - JOUR

T1 - Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins

AU - De Luca, Valeria

AU - Banerjee, Jyotirmoy

AU - Hallack, Andre

AU - Kondo, Satoshi

AU - Makhinya, Maxim

AU - Nouri, Daniel

AU - Royer, Lucas

AU - Cifor, Amalia

AU - Niessen, Wiro J.

AU - van Walsum, Theo

AU - More Authors, null

PY - 2018

Y1 - 2018

N2 - Purpose: Compensation for respiratory motion is important during abdominal cancer treatments. In this work we report the results of the 2015 MICCAI Challenge on Liver Ultrasound Tracking and extend the 2D results to relate them to clinical relevance in form of reducing treatment margins and hence sparing healthy tissues, while maintaining full duty cycle. Methods: We describe methodologies for estimating and temporally predicting respiratory liver motion from continuous ultrasound imaging, used during ultrasound-guided radiation therapy. Furthermore, we investigated the trade-off between tracking accuracy and runtime in combination with temporal prediction strategies and their impact on treatment margins. Results: Based on 2D ultrasound sequences from 39 volunteers, a mean tracking accuracy of 0.9 mm was achieved when combining the results from the 4 challenge submissions (1.2 to 3.3 mm). The two submissions for the 3D sequences from 14 volunteers provided mean accuracies of 1.7 and 1.8 mm. In combination with temporal prediction, using the faster (41 vs 228 ms) but less accurate (1.4 vs 0.9 mm) tracking method resulted in substantially reduced treatment margins (70% vs 39%) in contrast to mid-ventilation margins, as it avoided non-linear temporal prediction by keeping the treatment system latency low (150 vs 400 ms). Acceleration of the best tracking method would improve the margin reduction to 75%. Conclusions: Liver motion estimation and prediction during free-breathing from 2D ultrasound images can substantially reduce the in-plane motion uncertainty and hence treatment margins. Employing an accurate tracking method while avoiding non-linear temporal prediction would be favorable. This approach has the potential to shorten treatment time compared to breath-hold and gated approaches, and increase treatment efficiency and safety.

AB - Purpose: Compensation for respiratory motion is important during abdominal cancer treatments. In this work we report the results of the 2015 MICCAI Challenge on Liver Ultrasound Tracking and extend the 2D results to relate them to clinical relevance in form of reducing treatment margins and hence sparing healthy tissues, while maintaining full duty cycle. Methods: We describe methodologies for estimating and temporally predicting respiratory liver motion from continuous ultrasound imaging, used during ultrasound-guided radiation therapy. Furthermore, we investigated the trade-off between tracking accuracy and runtime in combination with temporal prediction strategies and their impact on treatment margins. Results: Based on 2D ultrasound sequences from 39 volunteers, a mean tracking accuracy of 0.9 mm was achieved when combining the results from the 4 challenge submissions (1.2 to 3.3 mm). The two submissions for the 3D sequences from 14 volunteers provided mean accuracies of 1.7 and 1.8 mm. In combination with temporal prediction, using the faster (41 vs 228 ms) but less accurate (1.4 vs 0.9 mm) tracking method resulted in substantially reduced treatment margins (70% vs 39%) in contrast to mid-ventilation margins, as it avoided non-linear temporal prediction by keeping the treatment system latency low (150 vs 400 ms). Acceleration of the best tracking method would improve the margin reduction to 75%. Conclusions: Liver motion estimation and prediction during free-breathing from 2D ultrasound images can substantially reduce the in-plane motion uncertainty and hence treatment margins. Employing an accurate tracking method while avoiding non-linear temporal prediction would be favorable. This approach has the potential to shorten treatment time compared to breath-hold and gated approaches, and increase treatment efficiency and safety.

KW - image guidance

KW - motion prediction

KW - respiratory motion

KW - treatment margins

KW - ultrasound

UR - http://www.scopus.com/inward/record.url?scp=85054195429&partnerID=8YFLogxK

U2 - 10.1002/mp.13152

DO - 10.1002/mp.13152

M3 - Article

VL - 45

SP - 4986

JO - Medical Physics

T2 - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 11

ER -

ID: 47137038