ELPHA: Dynamically deformable liver phantom for real-time motion-adaptive radiotherapy treatments.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 30 01 2018
revised: 03 12 2018
accepted: 14 12 2018
pubmed: 28 12 2018
medline: 28 2 2019
entrez: 28 12 2018
Statut: ppublish

Résumé

Real-time motion-adaptive radiotherapy of intrahepatic tumors needs to account for motion and deformations of the liver and the target location within. Phantoms representative of anatomical deformations are required to investigate and improve dynamic treatments. A deformable phantom capable of testing motion detection and motion mitigation techniques is presented here. The dynamically dEformable Liver PHAntom (ELPHA) was designed to fulfill three main constraints: First, a reproducibly deformable anatomy is required. Second, the phantom should provide multimodality imaging contrast for motion detection. Third, a time-resolved dosimetry system to measure temporal effects should be provided. An artificial liver with vasculature was casted from soft silicone mixtures. The silicones allow for deformation and radiographic image contrast, while added cellulose provides ultrasonic contrast. An actuator was used for compressing the liver in the inferior direction according to a prescribed respiratory motion trace. Electromagnetic (EM) transponders integrated in ELPHA help provide ground truth motion traces. They were used to quantify the motion reproducibility of the phantom and to validate motion detection based on ultrasound imaging. A two-dimensional ultrasound probe was used to follow the position of the vessels with a template-matching algorithm. This detected vessel motion was compared to the EM transponder signal by calculating the root-mean-square error (RMSE). ELPHA was then used to investigate the dose deposition of dynamic treatment deliveries. Two dosimetry systems, radio-chromic film and plastic scintillation dosimeters (PSD), were integrated in ELPHA. The PSD allow for time-resolved measurement of the delivered dose, which was compared to a time-resolved dose of the treatment planning system. Film and PSD were used to investigate dose delivery to the deforming phantom without motion compensation and with treatment-couch tracking for motion compensation. ELPHA showed densities of 66 and 45 HU in the liver and the surrounding tissues. A high motion reproducibility with a submillimeter RMSE (<0.32 mm) was measured. The motion of the vasculature detected with ultrasound agreed well with the EM transponder position (RMSE < 1 mm). A time-resolved dosimetry system with a 1 Hz time resolution was achieved with the PSD. The agreement of the planned and measured dose to the PSD decreased with increasing motion amplitude: A dosimetric RMSE of 1.2, 2.1, and 2.7 cGy/s was measured for motion amplitudes of 8, 16, and 24 mm, respectively. With couch tracking as motion compensation, these values decreased to 1.1, 1.4, and 1.4 cGy/s. This is closer to the static situation with 0.7 cGy/s. Film measurements showed that couch tracking was able to compensate for motion with a mean target dose within 5% of the static situation (-5% to +1%), which was higher than in the uncompensated cases (-41% to -1%). ELPHA is a deformable liver phantom with high motion reproducibility. It was demonstrated to be suitable for the verification of motion detection and motion mitigation modalities. Based on the multimodality image contrast, a high accuracy of ultrasound based motion detection was shown. With the time-resolved dosimetry system, ELPHA is suitable for performance assessment of real-time motion-adaptive radiotherapy, as was shown exemplary with couch tracking.

Identifiants

pubmed: 30588635
doi: 10.1002/mp.13359
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

839-850

Subventions

Organisme : Swiss National Science Foundation
ID : CR32I3_153491
Organisme : Swiss National Science Foundation
ID : P2_150620
Organisme : Swiss Society of Radiobiology and Medical Physics

Informations de copyright

© 2018 American Association of Physicists in Medicine.

Auteurs

Stefanie Ehrbar (S)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.

Alexander Jöhl (A)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.
Department of Mechanical and Process Engineering, Product Development Group Zurich, ETH Zurich, 8001, Zurich, Switzerland.

Michael Kühni (M)

Department of Mechanical and Process Engineering, Product Development Group Zurich, ETH Zurich, 8001, Zurich, Switzerland.

Mirko Meboldt (M)

Department of Mechanical and Process Engineering, Product Development Group Zurich, ETH Zurich, 8001, Zurich, Switzerland.

Ece Ozkan Elsen (E)

Department of Information Technology and Electrical Engineering, Computer-assisted Applications in Medicine, ETH Zurich, 8001, Zürich, Switzerland.

Christine Tanner (C)

Department of Information Technology and Electrical Engineering, Computer-assisted Applications in Medicine, ETH Zurich, 8001, Zürich, Switzerland.

Orcun Goksel (O)

Department of Information Technology and Electrical Engineering, Computer-assisted Applications in Medicine, ETH Zurich, 8001, Zürich, Switzerland.

Stephan Klöck (S)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.

Jan Unkelbach (J)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.

Matthias Guckenberger (M)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.

Stephanie Tanadini-Lang (S)

Department of Radiation Oncology, University Hospital Zurich and, University of Zurich, 8091, Zurich, Switzerland.

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