Using a research real-time control interface to go beyond dynamic MLC tracking
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1 in partnership with Using a research real-time control interface to go beyond dynamic MLC tracking Dr. Simeon Nill Joint Department of Physics at The Institute of Cancer Research and the Royal Marsden NHS Foundation Trust London 08/04/2016 Disclaimer 2 ICR/RMH has a research agreement with Elekta on MLC tracking ICR/RMH is a member of the Elekta Atlantic Research Consortium 1
2 Overview 3 Introduction to Elekta linacs Brief overview of the control system Options to deliver non-clinical research plans Introduction to MLC tracking Real time tracking interface Evaluation of system latency Multi-institutional tracking comparison Online dose reconstruction Framework for online dose reconstruction First results for simulated prostate and lung tracking Summary / Outlook Elekta Digital Linac 4 Fully digital control system 160 leaf Agility MLC 5 photon energies (3xFF/ 2xFFF) 5 electron energies Hexapod (6D couch) Possibility to dynamically change the MLC, Diaphragm, Gantry and Collimator movement during irradiation 2
3 Elekta Digital Control System 5 Control room Machine room From: Elekta corrective maintenance manual Elekta Linac Interfaces 6 icom (Vx/Fx) Option 1 Elekta TCS Dicom Option 2 Purpose Built Handbag Option 3 Integrity Dicom conformance statement: 3
4 Elekta Linac Dicom Interface 7 Dicom Elekta TCS Option 2 Generate Dicom plan using your research software Ensure conformance to Elekta Dicom statement Send to linac Deliver as stored beams within service mode Not limited by R&V restrictions Integrity Dicom conformance statement: Dicom Example 8 VMAT FFF plan Dynamic change of collimator angle (0->5->0) Change of energy during arc delivery (6->10->6) 4
5 Elekta Linac Research Interfaces 9 Purpose Build Handbag Elekta TCS Option 3 Research agreement with Elekta required Provides a tailored customised handbag No need for a dedicated research linac Clinical to Research to Clinical 10 cmp Components «Removable Hard Disk» Integrity Machine Configuration and Calibration (Machine Identity) Control System Software (Including RT OS Image) Research supported linacs may switch between configurations and software builds and back again with minimal effort Entire machine configuration, calibration and identity is contained on a removable hard disk Courtesy of Elekta 5
6 MLC Tracking Handbag 11 cmp Components Ethernet «X86 Processor» Real Time Control System Research Ethernet Research CAN Bus Serial Link Serial Link Control Data Updating at up to 100 HZ «flow» Serial Link «flow» Serial Link Control Data Updating at up to 25 HZ Linac MLC Courtesy of Elekta MLC Tracking: Overview 12 Calculate / adapt optimal beam parameters treatment unit Compensate for system latency moving target Detect target motion 6
![Experimental set-up: Maple 13 MLC 4d motion platform Portal imager Results: Summary 14 Type Motion* Effective latency RMSE [mm]** [ms]** Leaf-only LR 56-61 0.6-1.6 Jaw+leaf SI 71-76 0.](/docs-images/74/71447349/images/7-0.jpg "7-1.5 DLG+leaf LR 57-73 1.9-3.3 Fast et al (2014), Medical Physics 41, 111719.")
7 Experimental set-up: Maple 13 MLC 4d motion platform Portal imager Results: Summary 14 Type Motion* Effective latency RMSE [mm]** [ms]** Leaf-only LR Jaw+leaf SI DLG+leaf LR Fast et al (2014), Medical Physics 41, *assuming gantry & collimator angles at 0 **depending on target update frequency and maximum target speed 7
8 Cross-platform real-time adaptive radiotherapy performance characterization institutions 25 researchers Slide courtesy of Emma Colvill Lung and Prostate Cases 16 Median volume Hansen Acta Onc 2014 Median volume Ng IJROBP 2012 Slide courtesy of Emma Colvill 8
9 Patient-Measured Motion Files Lung Prostate 17 Cyberknife-measured lung tumor motion Suh PMB 2008 Calypso-measured prostate motion Langen IJROBP 2008 Slide courtesy of Emma Colvill Experimental set-up: Agility MLC 18 MLC Delta4 4d motion platform 9
10 Adaptation systems 2%/2mm Radiother Oncol Apr;119(1): doi: /j.radonc Slide courtesy of Emma Colvill Beyond dynamic MLC tracking: Online dose reconstruction 20 Tracking Target positions MLC apertures Dose Accumulation DynaTrack DynaPlan Delivery Updated plan Replanning Applications not limited to MLC tracking Designed with MRI-Linac in mind 10
11 Research RT software platform at ICR 21 φmc Fast Monte Carlo dose calculation engine Dose influence data Dose data Plan data DynaTrack Tracking / delivery Respiratory phase /delivery info Geometry DynaPlan Treatment planning software Bixel maps Dose data / plan data µkonrad Fast dose calculation / plan optimization based on dose influence data Machine parameters Plan data Patient geometry Plan geometry Deformation fields Dose influence data Treatment machine Research Elekta Synergy / Agility MLC Commercial TPS Interface to scripting API Simulated Patient Case 22 Planning CT Phase-binned 4DCT 10 phases Planning strategies Conventional ITV + 5mm Motion Target Volume (MTV) + 5mm RTOG 1021 (3-Fx, 9-beam) 18 Gy to 95% of PTV per fraction 11
12 ITV vs MTV concept 23 Overlay of all GTVs Unified maximum = Internal Target Volume (ITV) Overlay of all rigidly aligned GTVs Unified maximum = Motion Target Volume (MTV) Results MTV+5mm plan 24 GTV ref ITV+5mm plan Ipsilateral lung Spinal chord Chest wall Computation time Dose calculation time: 10 ms (voxel size: 2x2x2 mm 3 ) EMT dose accumulation: 30 ms Memory throughput: 90 GB/sec on single workstation computer Pre-calculated dose influence data with 5x5 mm 2 beamlet resolution for each individual 4DCT phase (Monte Carlo algorithm) Dose deformation through Energy-Mass Transfer Single workstation with 2x Intel Xeon CPU E v3 12
13 Prostate case: Online dose accumulation 25 CTV-to-PTV margins: - 1, 3 & 5 mm isotropic - 3 mm posterior + 5 mm else RTOG 0938: Gy in 5 fx 7-beam IMRT CTV: 55 cm 3 Fast et al (2016), Phys Med Biol Feb 21;61(4): Prostate motion patterns 26 Calypso-measured prostate motion Langen et al. (2008) IJROBP Rotations about LR (centre of prostate) (1 increments) Motion simulated as VOI shift 13
14 Results: translations (tracked) + rotations Impact of rotations can be significant for smaller margins Fast et al (2016), Phys Med Biol Feb 21;61(4): Next step: Online replanning 28 Tracking Target positions MLC apertures Dose Accumulation DynaTrack DynaPlan Delivery Updated plan Replanning Online Inter-Beam Replanning Based On Real-Time Dose Reconstruction Corijn Kamerling TH-CD Today 11:50AM Room:
15 Summary: 29 Elekta linacs provide different options to develop dynamic delivery techniques MLC Tracking with Agility MLC shows excellent results for motion compensation Online dose reconstruction is a powerful tool for online plan QA and online plan adaption in partnership with NIHR Biomedical Research Centre for Cancer Cancer Research UK Programme Grant C33589/A19727 Medical Research Council (MRC) ICR/RMH is a member of the Elekta Atlantic Research Consortium [Acknowledgements] Uwe Oelfke Martin Fast Peter Ziegenhein Corijn Kamerling Martin Menten Adrian Smith Emma Colvill 15
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