Active tracking and dynamic dose delivery for robotic couch in radiation therapy

Precise and accurate dose delivery is critically important in external beam radiation therapy. In many cases target-volumes are stationary, but the problem arises when the tumors move significantly due to cardiac and respiratory motions. This is a case for tumors in lung, esophagus, pancreas, liver, prostate, breast, and other organs in thoracic and abdominal regions. In the article we have described the Active Tracking and Dynamic Dose Delivery (ATDD) technique for real-time tumor motion compensation. In this approach, the robotic treatment table moves while delivering the radiation beam and compensates for breathing-induced tumor motion. Many parameters of the control system, such as patient mass or breathing pattern, are initially uncertain and may vary during the treatment. To solve these problems, feedforward adaptive control was adopted to minimize irradiation to healthy tissue and spare critical organs while ensuring prescribed radiation dose coverage to the target-volume.

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

[2]  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.

[3]  J Hanson,et al.  Dosimetric evaluation of lung tumor immobilization using breath hold at deep inspiration. , 2001, International journal of radiation oncology, biology, physics.

[4]  Masahiro Hiraoka,et al.  Development of a four-dimensional image-guided radiotherapy system with a gimbaled X-ray head. , 2006, International journal of radiation oncology, biology, physics.

[5]  G Baroni,et al.  Four-dimensional targeting error analysis in image-guided radiotherapy , 2009, Physics in medicine and biology.

[6]  Cedric X. Yu,et al.  Real-time intra-fraction-motion tracking using the treatment couch: a feasibility study , 2005, Physics in medicine and biology.

[7]  Yan Yu,et al.  Tumor Motion Prediction and Tracking in Adaptive Radiotherapy , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[8]  Gregory C Sharp,et al.  Speed and amplitude of lung tumor motion precisely detected in four-dimensional setup and in real-time tumor-tracking radiotherapy. , 2006, International journal of radiation oncology, biology, physics.

[9]  G. Benchetrit.  Breathing pattern in humans: diversity and individuality. , 2000, Respiration physiology.

[10]  R Mohan,et al.  Predicting respiratory motion for four-dimensional radiotherapy. , 2004, Medical physics.

[11]  Yan Yu,et al.  Dynamics-based decentralized control of robotic couch and multi-leaf collimators for tracking tumor motion , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  Warren D D'Souza,et al.  An analysis of the treatment couch and control system dynamics for respiration-induced motion compensation. , 2006, Medical physics.

[13]  Herbert Cattell,et al.  Geometric accuracy of a real-time target tracking system with dynamic multileaf collimator tracking system. , 2006, International journal of radiation oncology, biology, physics.

[14]  Steve B. Jiang,et al.  A deformable lung tumor tracking method in fluoroscopic video using active shape models: a feasibility study , 2007, Physics in medicine and biology.

[15]  Steve B. Jiang,et al.  Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy , 2009, Physics in medicine and biology.

[16]  Steve B. Jiang,et al.  Markerless lung tumor tracking and trajectory reconstruction using rotational cone-beam projections: a feasibility study , 2010, Physics in medicine and biology.

[17]  R. Sweeney,et al.  Compensating for tumor motion by a 6-degree-of-freedom treatment couch: is patient tolerance an issue? , 2009, International journal of radiation oncology, biology, physics.

[18]  Martin J Murphy,et al.  Issues in respiratory motion compensation during external-beam radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[19]  Paul J Keall,et al.  Real-time tumor tracking using sequential kV imaging combined with respiratory monitoring: a general framework applicable to commonly used IGRT systems , 2010, Physics in medicine and biology.

[20]  J. Ciezki,et al.  Fluoroscopic study of tumor motion due to breathing: facilitating precise radiation therapy for lung cancer patients. , 2001, Medical physics.

[21]  Joos V Lebesque,et al.  Portal imaging to assess set-up errors, tumor motion and tumor shrinkage during conformal radiotherapy of non-small cell lung cancer. , 2001, Radiotherapy and Oncology.

[22]  Lei Xing,et al.  Predicting respiratory tumor motion with multi-dimensional adaptive filters and support vector regression , 2009, Physics in medicine and biology.

[23]  Gregory C Sharp,et al.  Prediction of respiratory tumour motion for real-time image-guided radiotherapy. , 2004, Physics in medicine and biology.

[24]  Yan Yu,et al.  Partial transmission high-speed continuous tracking multi-leaf collimator for 4D adaptive radiation therapy , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

[25]  L Court,et al.  A multi-region algorithm for markerless beam's-eye view lung tumor tracking , 2010, Physics in medicine and biology.

[26]  Yan Yu,et al.  A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[27]  Y Yu,et al.  A robotic approach to 4D real-time tumor tracking for radiotherapy , 2011, Physics in medicine and biology.

[28]  P. Keall,et al.  Geometric uncertainty of 2 D projection imaging in monitoring 3 D tumor motion , 2012 .

[29]  Paul J Keall,et al.  Geometric uncertainty of 2D projection imaging in monitoring 3D tumor motion. , 2007, Physics in medicine and biology.