BACKGROUND AND PURPOSE: For dynamic tracking of moving tumors, robust intra-fraction verification was required, to assure that tumor motion was properly managed during the course of radiotherapy. A dual-modality verification system, consisting of an on-board orthogonal kV and planar MV imaging device, was validated and applied retrospectively to patient data. METHODS AND MATERIALS: Real-time tumor tracking (RTTT) was managed by applying PAN and TILT angular corrections to the therapeutic beam using a gimbaled linac. In this study, orthogonal X-ray imaging and MV EPID fluoroscopy was acquired simultaneously. The tracking beam position was derived from respectively real-time gimbals log files and the detected field outline on EPID. For both imaging modalities, the moving target was localized by detection of an implanted fiducial. The dual-modality tracking verification was validated against a high-precision optical camera in phantom experiments and applied to clinical tracking data from a liver and two lung cancer patients. RESULTS: Both verification modalities showed a high accuracy (<0.3mm) during validation on phantom. Marker detection on EPID was influenced by low image contrast. For the clinical cases, gimbaled tracking showed a 90th percentile error (E90) of 3.45 (liver), 2.44 (lung A) and 3.40 mm (lung B) based on EPID fluoroscopy and good agreement with XR-log file data by an E90 of 3.13, 1.92 and 3.33 mm, respectively, during beam on. CONCLUSION: Dual-modality verification was successfully implemented, offering the possibility of detailed reporting on RTTT performance.
BACKGROUND AND PURPOSE: For dynamic tracking of moving tumors, robust intra-fraction verification was required, to assure that tumor motion was properly managed during the course of radiotherapy. A dual-modality verification system, consisting of an on-board orthogonal kV and planar MV imaging device, was validated and applied retrospectively to patient data. METHODS AND MATERIALS: Real-time tumor tracking (RTTT) was managed by applying PAN and TILT angular corrections to the therapeutic beam using a gimbaled linac. In this study, orthogonal X-ray imaging and MV EPID fluoroscopy was acquired simultaneously. The tracking beam position was derived from respectively real-time gimbals log files and the detected field outline on EPID. For both imaging modalities, the moving target was localized by detection of an implanted fiducial. The dual-modality tracking verification was validated against a high-precision optical camera in phantom experiments and applied to clinical tracking data from a liver and two lung cancerpatients. RESULTS: Both verification modalities showed a high accuracy (<0.3mm) during validation on phantom. Marker detection on EPID was influenced by low image contrast. For the clinical cases, gimbaled tracking showed a 90th percentile error (E90) of 3.45 (liver), 2.44 (lung A) and 3.40 mm (lung B) based on EPID fluoroscopy and good agreement with XR-log file data by an E90 of 3.13, 1.92 and 3.33 mm, respectively, during beam on. CONCLUSION: Dual-modality verification was successfully implemented, offering the possibility of detailed reporting on RTTT performance.
Authors: Charles A Kunos; Jeffrey M Fabien; John P Shanahan; Christine Collen; Thierry Gevaert; Kenneth Poels; Robbe Van den Begin; Benedikt Engels; Mark De Ridder Journal: J Vis Exp Date: 2015-06-07 Impact factor: 1.355
Authors: Emma Colvill; Jeremy Booth; Simeon Nill; Martin Fast; James Bedford; Uwe Oelfke; Mitsuhiro Nakamura; Per Poulsen; Esben Worm; Rune Hansen; Thomas Ravkilde; Jonas Scherman Rydhög; Tobias Pommer; Per Munck Af Rosenschold; Stephanie Lang; Matthias Guckenberger; Christian Groh; Christian Herrmann; Dirk Verellen; Kenneth Poels; Lei Wang; Michael Hadsell; Thilo Sothmann; Oliver Blanck; Paul Keall Journal: Radiother Oncol Date: 2016-03-22 Impact factor: 6.280