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Validation and Comparison of Approaches to Respiratory Motion Estimation

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Validation and Comparison of Approaches to Respiratory Motion Estimation. / Kabus, Sven; Klinder, Tobias; Murphy, Keelin; Werner, Rene; Sarrut, David.

4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. ed. / Jan Ehrhardt; Cristian Lorenz. 1. ed. Springer, 2013. p. 159-183 (Biological and Medical Physics, Biomedical Engineering).

Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

Harvard

Kabus, S, Klinder, T, Murphy, K, Werner, R & Sarrut, D 2013, Validation and Comparison of Approaches to Respiratory Motion Estimation. in J Ehrhardt & C Lorenz (eds), 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. 1 edn, Biological and Medical Physics, Biomedical Engineering, Springer, pp. 159-183. https://doi.org/0.1007/978-3-642-36441-9_8

APA

Kabus, S., Klinder, T., Murphy, K., Werner, R., & Sarrut, D. (2013). Validation and Comparison of Approaches to Respiratory Motion Estimation. In J. Ehrhardt, & C. Lorenz (Eds.), 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy (1 ed., pp. 159-183). (Biological and Medical Physics, Biomedical Engineering). Springer. https://doi.org/0.1007/978-3-642-36441-9_8

Vancouver

Kabus S, Klinder T, Murphy K, Werner R, Sarrut D. Validation and Comparison of Approaches to Respiratory Motion Estimation. In Ehrhardt J, Lorenz C, editors, 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. 1 ed. Springer. 2013. p. 159-183. (Biological and Medical Physics, Biomedical Engineering). https://doi.org/0.1007/978-3-642-36441-9_8

Bibtex

@inbook{e2bb0c024c054e79a7458c960e920fdc,
title = "Validation and Comparison of Approaches to Respiratory Motion Estimation",
abstract = "The accuracy of respiratory motion estimation has a direct impact on the success of clinical applications such as diagnosis, as well as planning, delivery, and assessment of therapy for lung or other thoracic diseases. While rigid registration is well suited to validation and has reached a mature state in clinical applications, for non-rigid registration no gold-standard exists. This chapter investigates the validation of non-rigid registration accuracy with a focus on lung motion. The central questions addressed in this chapter are (1) how to measure registration accuracy, (2) how to generate ground-truth for validation, and (3) how to interpret accuracy assessment results.",
author = "Sven Kabus and Tobias Klinder and Keelin Murphy and Rene Werner and David Sarrut",
year = "2013",
doi = "0.1007/978-3-642-36441-9_8",
language = "English",
isbn = "978-3-642-36440-2",
series = "Biological and Medical Physics, Biomedical Engineering",
publisher = "Springer",
pages = "159--183",
editor = "Jan Ehrhardt and Cristian Lorenz",
booktitle = "4D Modeling and Estimation of Respiratory Motion for Radiation Therapy",
address = "Germany",
edition = "1",

}

RIS

TY - CHAP

T1 - Validation and Comparison of Approaches to Respiratory Motion Estimation

AU - Kabus, Sven

AU - Klinder, Tobias

AU - Murphy, Keelin

AU - Werner, Rene

AU - Sarrut, David

PY - 2013

Y1 - 2013

N2 - The accuracy of respiratory motion estimation has a direct impact on the success of clinical applications such as diagnosis, as well as planning, delivery, and assessment of therapy for lung or other thoracic diseases. While rigid registration is well suited to validation and has reached a mature state in clinical applications, for non-rigid registration no gold-standard exists. This chapter investigates the validation of non-rigid registration accuracy with a focus on lung motion. The central questions addressed in this chapter are (1) how to measure registration accuracy, (2) how to generate ground-truth for validation, and (3) how to interpret accuracy assessment results.

AB - The accuracy of respiratory motion estimation has a direct impact on the success of clinical applications such as diagnosis, as well as planning, delivery, and assessment of therapy for lung or other thoracic diseases. While rigid registration is well suited to validation and has reached a mature state in clinical applications, for non-rigid registration no gold-standard exists. This chapter investigates the validation of non-rigid registration accuracy with a focus on lung motion. The central questions addressed in this chapter are (1) how to measure registration accuracy, (2) how to generate ground-truth for validation, and (3) how to interpret accuracy assessment results.

U2 - 0.1007/978-3-642-36441-9_8

DO - 0.1007/978-3-642-36441-9_8

M3 - SCORING: Contribution to collected editions/anthologies

SN - 978-3-642-36440-2

T3 - Biological and Medical Physics, Biomedical Engineering

SP - 159

EP - 183

BT - 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

A2 - Ehrhardt, Jan

A2 - Lorenz, Cristian

PB - Springer

ER -