Online 4D ultrasound guidance for real-time motion compensation by MLC tracking.

PURPOSE With the trend in radiotherapy moving toward dose escalation and hypofractionation, the need for highly accurate targeting increases. While MLC tracking is already being successfully used for motion compensation of moving targets in the prostate, current real-time target localization methods rely on repeated x-ray imaging and implanted fiducial markers or electromagnetic transponders rather than direct target visualization. In contrast, ultrasound imaging can yield volumetric data in real-time (3D + time = 4D) without ionizing radiation. The authors report the first results of combining these promising techniques-online 4D ultrasound guidance and MLC tracking-in a phantom. METHODS A software framework for real-time target localization was installed directly on a 4D ultrasound station and used to detect a 2 mm spherical lead marker inside a water tank. The lead marker was rigidly attached to a motion stage programmed to reproduce nine characteristic tumor trajectories chosen from large databases (five prostate, four lung). The 3D marker position detected by ultrasound was transferred to a computer program for MLC tracking at a rate of 21.3 Hz and used for real-time MLC aperture adaption on a conventional linear accelerator. The tracking system latency was measured using sinusoidal trajectories and compensated for by applying a kernel density prediction algorithm for the lung traces. To measure geometric accuracy, static anterior and lateral conformal fields as well as a 358° arc with a 10 cm circular aperture were delivered for each trajectory. The two-dimensional (2D) geometric tracking error was measured as the difference between marker position and MLC aperture center in continuously acquired portal images. For dosimetric evaluation, VMAT treatment plans with high and low modulation were delivered to a biplanar diode array dosimeter using the same trajectories. Dose measurements with and without MLC tracking were compared to a static reference dose using 3%/3 mm and 2%/2 mm γ-tests. RESULTS The overall tracking system latency was 172 ms. The mean 2D root-mean-square tracking error was 1.03 mm (0.80 mm prostate, 1.31 mm lung). MLC tracking improved the dose delivery in all cases with an overall reduction in the γ-failure rate of 91.2% (3%/3 mm) and 89.9% (2%/2 mm) compared to no motion compensation. Low modulation VMAT plans had no (3%/3 mm) or minimal (2%/2 mm) residual γ-failures while tracking reduced the γ-failure rate from 17.4% to 2.8% (3%/3 mm) and from 33.9% to 6.5% (2%/2 mm) for plans with high modulation. CONCLUSIONS Real-time 4D ultrasound tracking was successfully integrated with online MLC tracking for the first time. The developed framework showed an accuracy and latency comparable with other MLC tracking methods while holding the potential to measure and adapt to target motion, including rotation and deformation, noninvasively.

[1]  B. Fallone,et al.  The rotating biplanar linac-magnetic resonance imaging system. , 2014, Seminars in radiation oncology.

[2]  Davide Fontanarosa,et al.  A CT based correction method for speed of sound aberration for ultrasound based image guided radiotherapy. , 2011, Medical physics.

[3]  D A Jaffray,et al.  The effects of intra-fraction organ motion on the delivery of dynamic intensity modulation. , 1998, Physics in medicine and biology.

[4]  Jan J W Lagendijk,et al.  MRI/linac integration. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[5]  P. Evans,et al.  In vivo liver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe , 2012, Physics in medicine and biology.

[6]  Paul J Keall,et al.  Megavoltage image-based dynamic multileaf collimator tracking of a NiTi stent in porcine lungs on a linear accelerator. , 2012, International journal of radiation oncology, biology, physics.

[7]  Patrick A Kupelian,et al.  Observations on real-time prostate gland motion using electromagnetic tracking. , 2008, International journal of radiation oncology, biology, physics.

[8]  Rasmus Larsen,et al.  Three-dimensional MRI-linac intra-fraction guidance using multiple orthogonal cine-MRI planes , 2013, Physics in medicine and biology.

[9]  Parag J. Parikh,et al.  Development of the 4D Phantom for patient-specific end-to-end radiation therapy QA , 2007, SPIE Medical Imaging.

[10]  Maud Marchal,et al.  Real-time tracking of deformable target in 3D ultrasound images , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Paul Keall,et al.  Image-based dynamic multileaf collimator tracking of moving targets during intensity-modulated arc therapy. , 2012, International journal of radiation oncology, biology, physics.

[12]  Herbert Cattell,et al.  Toward submillimeter accuracy in the management of intrafraction motion: the integration of real-time internal position monitoring and multileaf collimator target tracking. , 2009, International journal of radiation oncology, biology, physics.

[13]  Jeffrey C Bamber,et al.  4D ultrasound speckle tracking of intra-fraction prostate motion: a phantom-based comparison with x-ray fiducial tracking using CyberKnife , 2014, Physics in medicine and biology.

[14]  P. Evans,et al.  Speckle tracking in a phantom and feature-based tracking in liver in the presence of respiratory motion using 4D ultrasound , 2010, Physics in medicine and biology.

[15]  T. P. Mate,et al.  A new system to perform continuous target tracking for radiation and surgery using non-ionizing alternating current electromagnetics , 2004, CARS.

[16]  Stuart Crozier,et al.  The Australian magnetic resonance imaging-linac program. , 2014, Seminars in radiation oncology.

[17]  Herbert Cattell,et al.  Electromagnetic-guided dynamic multileaf collimator tracking enables motion management for intensity-modulated arc therapy. , 2011, International journal of radiation oncology, biology, physics.

[18]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.

[19]  Karl Otto,et al.  Enhancement of IMRT delivery through MLC rotation. , 2002, Physics in medicine and biology.

[20]  Paul J Keall,et al.  An analysis of thoracic and abdominal tumour motion for stereotactic body radiotherapy patients , 2008, Physics in medicine and biology.

[21]  Christopher Kurz,et al.  First Steps Toward Ultrasound-Based Motion Compensation for Imaging and Therapy: Calibration with an Optical System and 4D PET Imaging , 2015, Front. Oncol..

[22]  Steven D Chang,et al.  Image-guided Robotic Radiosurgery : The CyberKnife , 2004 .

[23]  O Somphone,et al.  The 2014 liver ultrasound tracking benchmark , 2015, Physics in medicine and biology.

[24]  S. Korreman Motion in radiotherapy: photon therapy , 2012, Physics in medicine and biology.

[25]  Kenneth V. Mackenzie,et al.  Discussion of sea water sound-speed determinations , 1981 .

[26]  Dimitre Hristov,et al.  Monte Carlo modeling of ultrasound probes for image guided radiotherapy. , 2015, Medical physics.

[27]  Sasa Mutic,et al.  The ViewRay system: magnetic resonance-guided and controlled radiotherapy. , 2014, Seminars in radiation oncology.

[28]  Paul J Keall,et al.  Toward the development of intrafraction tumor deformation tracking using a dynamic multi-leaf collimator. , 2014, Medical physics.

[29]  Davide Fontanarosa,et al.  Magnitude of speed of sound aberration corrections for ultrasound image guided radiotherapy for prostate and other anatomical sites. , 2012, Medical physics.

[30]  Erlend Fagertun Hofstad,et al.  Motion tracking in the liver: validation of a method based on 4D ultrasound using a nonrigid registration technique. , 2014, Medical physics.

[31]  Xinhui Yang,et al.  Tracking latency in image-based dynamic MLC tracking with direct image access , 2011, Acta oncologica.

[32]  Paul J Keall,et al.  The first clinical implementation of electromagnetic transponder-guided MLC tracking. , 2014, Medical physics.

[33]  Ping Xia,et al.  Assessing Feasibility of Real-Time Ultrasound Monitoring in Stereotactic Body Radiotherapy of Liver Tumors , 2013, Technology in cancer research & treatment.

[34]  Hiroshi Nakayama,et al.  Initial validations for pursuing irradiation using a gimbals tracking system , 2017 .

[35]  P Keall,et al.  MO-FG-BRA-06: Electromagnetic Beacon Insertion in Lung Cancer Patients and Resultant Surrogacy Errors for Dynamic MLC Tumour Tracking. , 2016, Medical physics.

[36]  Jean-Claude Latombe,et al.  Image-Guided Robotic Radiosurgery , 1994, Modelling and Planning for Sensor Based Intelligent Robot Systems.

[37]  Paul J Keall,et al.  Dynamic MLC tracking of moving targets with a single kV imager for 3D conformal and IMRT treatments , 2010, Acta oncologica.

[38]  Cai Grau,et al.  Time-resolved dose distributions to moving targets during volumetric modulated arc therapy with and without dynamic MLC tracking. , 2013, Medical physics.

[39]  R. Mohan,et al.  Motion adaptive x-ray therapy: a feasibility study , 2001, Physics in medicine and biology.

[40]  Kristijan Macek,et al.  Electromagnetic guided couch and multileaf collimator tracking on a TrueBeam accelerator. , 2016, Medical physics.

[41]  K Parodi,et al.  Ultrasound tracking for intra-fractional motion compensation in radiation therapy. , 2014, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[42]  Theo van Walsum,et al.  Fast and robust 3D ultrasound registration - Block and game theoretic matching , 2015, Medical Image Anal..

[43]  Dan Ruan,et al.  Kernel density estimation-based real-time prediction for respiratory motion , 2010, Physics in medicine and biology.

[44]  Paul J Keall,et al.  Detailed analysis of latencies in image-based dynamic MLC tracking. , 2010, Medical physics.

[45]  Monika Janda,et al.  Systematic Review of Interventions to Improve the Provision of Information for Adults with Primary Brain Tumors and Their Caregivers , 2014, Front. Oncol..

[46]  Paul J Keall,et al.  Geometric accuracy of dynamic MLC tracking with an implantable wired electromagnetic transponder , 2011, Acta oncologica.

[47]  J. Adler,et al.  Robotic Motion Compensation for Respiratory Movement during Radiosurgery , 2000, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.