tailieunhanh - Báo cáo khoa học: " Testing the portal imager GLAaS algorithm for machine quality assurance"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: " Testing the portal imager GLAaS algorithm for machine quality assurance. | BioMed Central Radiation Oncology Open Access Methodology Testing the portal imager GLAaS algorithm for machine quality assurance G Nicolini1 E Vanetti1 A Clivio1 3 A Fogliata1 G Boka1 4 and L Cozzi 1 2 Address 1Oncology Institute of Southern Switzerland Medical Physics Unit Bellinzona Switzerland 2University of Lausanne Faculty of Medicine Lausanne Switzerland 3University of Milan Medical Physics Specialisation School Milan Italy and 4Latvian Oncology Center of Riga Eastern University Clinical Hospital. Dept. of Dosimetry. Riga Latvia Email G Nicolini - E Vanetti - evanetti@ A Clivio - aclivio@ A Fogliata - afc@ G Boka - galina_boka@ L Cozzi - lucozzi@ Corresponding author Published 21 May 2008 Received 26 February 2008 Radiation Oncology 2008 3 14 doi l748-7l7X-3-l4 Accepted 2l May 2008 This article is available from http content 3 l l4 2008 Nicolini et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background To report about enhancements introduced in the GLAaS calibration method to convert raw portal imaging images into absolute dose matrices and to report about application of GLAaS to routine radiation tests for linac quality assurance procedures programmes. Methods Two characteristic effects limiting the general applicability of portal imaging based dosimetry are the over-flattening of images eliminating the horns and holes in the beam profiles induced by the presence of flattening filters and the excess of backscattered radiation originated by the detector robotic arm supports. These two effects were corrected for in the new version of GLAaS formalism and results are presented to prove the improvements for different .

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