A comparative study between the imaging system and the optical tracking system in proton therapy at CNAO

The synergy between in-room imaging and optical tracking, in co-operation with highly accurate robotic patient handling represents a concept for patient-set-up which has been implemented at CNAO (Centro Nazionale di Adroterapia Oncologica). In-room imaging is based on a double oblique X-ray projection system; optical tracking consists of the detection of the position of spherical markers placed directly on the patient's skin or on the immobilization devices. These markers are used as external fiducials during patient positioning and dose delivery. This study reports the results of a comparative analysis between in-room imaging and optical tracking data for patient positioning within the framework of high-precision particle therapy. Differences between the optical tracking system (OTS) and the imaging system (IS) were on average within the expected localization accuracy. On the first 633 fractions for head and neck (H&N) set-up procedures, the corrections applied by the IS, after patient positioning using the OTS only, were for the mostly sub-millimetric regarding the translations (0.4±1.1 mm) and sub-gradual regarding the rotations (0.0°±0.8°). On the first 236 fractions for pelvis localizations the amplitude of the corrections applied by the IS after preliminary optical set-up correction were moderately higher and more dispersed (translations: 1.3±2.9 mm, rotations 0.1±0.9°). Although the indication of the OTS cannot replace information provided by in-room imaging devices and 2D-3D image registration, the reported data show that OTS preliminary correction might greatly support image-based patient set-up refinement and also provide a secondary, independent verification system for patient positioning.

[1]  M. V. van Herk,et al.  Physical aspects of a real-time tumor-tracking system for gated radiotherapy. , 2000, International journal of radiation oncology, biology, physics.

[2]  Marco Riboldi,et al.  Automated Fiducial Localization in CT Images Based on Surface Processing and Geometrical Prior Knowledge for Radiotherapy Applications , 2012, IEEE Transactions on Biomedical Engineering.

[3]  Shinichi Shimizu,et al.  Real-time tumour-tracking radiotherapy , 1999, The Lancet.

[4]  Marco Riboldi,et al.  Targeting Accuracy in Real-time Tumor Tracking via External Surrogates: A Comparative Study , 2010, Technology in cancer research & treatment.

[5]  Marco Riboldi,et al.  Real-time tumour tracking in particle therapy: technological developments and future perspectives. , 2012, The Lancet. Oncology.

[6]  Hiroki Shirato,et al.  Accuracy of tumor motion compensation algorithm from a robotic respiratory tracking system: a simulation study. , 2007, Medical physics.

[7]  Cristina Garibaldi,et al.  Comparison between infrared optical and stereoscopic X-ray technologies for patient setup in image guided stereotactic radiotherapy. , 2012, International journal of radiation oncology, biology, physics.

[8]  Ping Xia,et al.  Low-dose megavoltage cone-beam CT for radiation therapy. , 2005, International journal of radiation oncology, biology, physics.

[9]  D. Jaffray Image-guided radiotherapy: from current concept to future perspectives , 2012, Nature Reviews Clinical Oncology.

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