Integration of Enhanced Optical Tracking Techniques and Imaging in IGRT.

In external beam radiotherapy, modern technologies for dynamic dose delivery and beam conformation provide high selectivity in radiation dose administration to the pathological volume. A comparable accuracy level is needed in the 3-D localization of tumor and organs at risk (OARs), in order to accomplish the planned dose distribution in the reality of each irradiation session. In-room imaging techniques for patient setup verification and tumor targeting may benefit of the combined daily use of optical tracking technologies, supported by techniques for the detection and compensation of organ motion events. Multiple solutions to enhance the use of optical tracking for the on-line correction of target localization uncertainties are described, with specific emphasis on the compensation of setup errors, breathing movements and non-rigid deformations. The final goal is the implementation of customized protocols where appropriate external landmarks, to be tracked in real-time by means of non-invasive optical devices, are selected as a function of inner target localization. The presented methodology features high accuracy in patient setup optimization, also providing a valuable tool for on-line patient surveillance, taking into account both breathing and deformation effects. The methodic application of optical tracking is put forward to represent a reliable and low cost procedure for the reduction of safety margins, once the patient-specific correlation between external landmarks and inner structures has been established. Therefore, the integration of optical tracking with in-room imaging devices is proposed as a way to gain higher confidence in the framework of Image Guided Radiation Therapy (IGRT) treatments.

[1]  R. Mohan,et al.  Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations. , 1991, International journal of radiation oncology, biology, physics.

[2]  E. De Momi,et al.  A Neural Network Based Method for Optical Patient Set-up Registration in Breast Radiotherapy , 2005, Annals of Biomedical Engineering.

[3]  Fred W. Glover,et al.  Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..

[4]  Shinichi Shimizu,et al.  Intrafractional tumor motion: lung and liver. , 2004, Seminars in radiation oncology.

[5]  Cristina Garibaldi,et al.  3D optoelectronic analysis of interfractional patient setup variability in frameless extracranial stereotactic radiotherapy. , 2006, International journal of radiation oncology, biology, physics.

[6]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[7]  Cristina Garibaldi,et al.  Breath hold technique guided by an opto-electronic system for body stereotactic treatments: a feasibility study , 2003 .

[8]  David A Jaffray,et al.  Emergent technologies for 3-dimensional image-guided radiation delivery. , 2005, Seminars in radiation oncology.

[9]  G J Kutcher,et al.  Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. , 1999, International journal of radiation oncology, biology, physics.

[10]  William Paul Segars,et al.  Development of a new dynamic NURBS-based cardiac-torso (NCAT) phantom , 2001 .

[11]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jay B. West,et al.  Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.

[13]  David Djajaputra,et al.  Real-time 3D surface-image-guided beam setup in radiotherapy of breast cancer. , 2004, Medical physics.

[14]  Cristina Garibaldi,et al.  Robust frameless stereotactic localization in extra-cranial radiotherapy. , 2006, Medical physics.

[15]  G Baroni,et al.  Enhanced Surface Registration Techniques for Patient Positioning Control in Breast Cancer Radiotherapy , 2004, Technology in cancer research & treatment.

[16]  K. Langen,et al.  Organ motion and its management. , 2001, International journal of radiation oncology, biology, physics.

[17]  George T. Y. Chen,et al.  A phantom evaluation of a stereo-vision surface imaging system for radiotherapy patient setup. , 2005, Medical physics.

[18]  Lech Papiez,et al.  Extracranial Stereotactic Radiation Delivery: Expansion of Technology Beyond the Brain , 2003, Technology in cancer research & treatment.

[19]  John M Buatti,et al.  Optically guided patient positioning techniques. , 2005, Seminars in Radiation Oncology.

[20]  Cristina Garibaldi,et al.  Dosimetric effects within target and organs at risk of interfractional patient mispositioning in left breast cancer radiotherapy. , 2004, International journal of radiation oncology, biology, physics.

[21]  M. Herk Errors and margins in radiotherapy. , 2004 .

[22]  G Ferrigno,et al.  Real-time opto-electronic verification of patient position in breast cancer radiotherapy. , 2000, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[23]  G. Ferrigno,et al.  Evaluation of methods for opto-electronic body surface sensing applied to patient position control in breast radiation therapy , 2003, Medical and Biological Engineering and Computing.

[24]  G Ferrigno,et al.  Real-time three-dimensional motion analysis for patient positioning verification. , 2000, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  Cristina Garibaldi,et al.  Patient set-up verification by infrared optical localization and body surface sensing in breast radiation therapy. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[26]  Martin J Murphy,et al.  Fiducial-based targeting accuracy for external-beam radiotherapy. , 2002, Medical physics.

[27]  Giovanna Rizzo,et al.  Extracranial frameless stereotactic radiosurgery with multi-modal imaging and opto-electronic position verification , 2004, CARS.

[28]  Yan Yu,et al.  Optimal marker placement in photogrammetry patient positioning system. , 2003, Medical physics.