UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model

Bertholet, J; Eiben, B; Menten, M; Tran, EH; Hawkes, DJ; Wetscherek, A; Nill, S; ... Oelfke, U; + view all (2019) In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model. In: Proceedings of the 19th International Conference on the Use of Computers in Radiation Therapy. ICCR Green open access

[thumbnail of Eiben_In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model_AAM.pdf]
Preview
Text
Eiben_In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model_AAM.pdf - Accepted Version

Download (510kB) | Preview

Abstract

Motion-including dose reconstruction (MIDR) aims at reconstructing the actually delivered dose to the moving anatomy during radiotherapy. Patient-specific motion models (PSMM) can be used to determine the time-resolved anatomy during treatment delivery on an MR-linac for MIDR. In this study, PSMM-based MIDR was validated for MR-guided lung SBRT. The digital XCAT phantom was used to generate a ground truth moving anatomy (GT-XCAT) based on in-vivo measured motion. Using the first 10 minutes of the motion trace, GT-XCAT volumes were subsampled to simulate pre-treatment interleaved sagittal/coronal MR acquisition with a sagittal navigator slice for breathing signal extraction. A PSMM was fitted and a motion-compensated super-resolution image (MCSRI) was reconstructed simultaneously. An MR-linac treatment plan for 3-fraction lung-SBRT was designed on a reference GT-XCAT. GT-XCATs were generated for the remainder of the motion trace. The intra-treatment time-resolved anatomy was estimated via MCSRI deformation using the PSMM and the breathing signals extracted from navigator slices sub-sampled from GT-XCATs. Treatment delivery was simulated in our in-house emulator. The treatment fluence was discretized into sub-beams, each associated with the GT or deformed-MCSRI anatomy that it was delivered to. The dose was accumulated onto the reference anatomy. For comparison, shift-MIDR was calculated emulating tumour motion as sub-beam isocenter shifts on the static reference GT-XCAT anatomy. For the plan dose, GT-MIDR, PSMM-MIDR and shift-MIDR respectively: GTV-D98% was 70.8Gy, 67.7Gy, 69.0Gy and 67.4Gy; GTV-D50% was 77.7Gy, 775.2Gy, 75.5Gy and 76.0Gy; heart-V30Gy was 48.4cc, 55.6cc, 53.0cc and 64.7cc; Oesophagus-V2% was 22.6Gy, 21.7Gy, 21.7Gy and 23.1Gy. Evaluated against GT-MIDR, PSMM-MIDR was more accurate than shift-MIDR for organ at risk (OAR) dose estimation and similar for target dose estimation. The MR-based PSMM was shown to be suitable for MIDR of the target and OAR. Shift-MIDR is not intended to correctly estimate OAR dose but may be used for target dose estimation.

Type: Proceedings paper
Title: In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model
Event: The 19th International Conference on the Use of Computers in Radiation Therapy
Location: Montreal (QC), Canada
Dates: 17th-20th June 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: http://iccr-mcma.org/abstracts/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10080183
Downloads since deposit
29Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item