tailieunhanh - Báo cáo khoa học: " Evalution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)"

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:" Evalution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC). | Radiation Oncology BioMed Central Research Evalution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer NSCLC Matthias Guckenberger Kurt Baier Anne Richter Juergen Wilbert and Michael Flentje Open Access Address Department of Radiation Oncology University of Wuerzburg Wuerzburg Germany Email Matthias Guckenberger - Guckenberger_M@ Kurt Baier-Baier_K@ Anne Richter - Richter_A3@ Juergen Wilbert - Wilbert_J@ Michael Flentje - Flentje_M@ Corresponding author Published 21 December 2009 Radiation Oncology 2009 4 68 doi l748-7l 7X-4-68 Received 12 October 2009 Accepted 2l December 2009 This article is available from http content 4 1 68 2009 Guckenberger 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 evaluate the performance of surface-based deformable image registration DR for adaptive radiotherapy of non-small cell lung cancer NSCLC . Methods Based on 1 3 patients with locally advanced NSCLC CT images acquired at treatment planning midway and the end of the radio- n 1 or radiochemotherapy n 12 course were used for evaluation of DR. All CT images were manually gross tumor volume GTV and automatically organs-at-risk OAR lung spinal cord vertebral spine trachea aorta outline segmented. Contours were transformed into 3D meshes using the Pinnacle treatment planning system and corresponding mesh points defined control points for DR with interpolation within the structures. Using these deformation maps follow-up CT images were transformed into the planning images and compared with the original planning CT images. .

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