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SU‐E‐J‐45: The Correlation Between CBCT Flat Panel Misalignment and 3D Image Guidance Accuracy
Author(s) -
Kenton O,
Valdes G,
Brousmiche S,
Wikler D,
Yin L,
Teo B
Publication year - 2015
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4924132
Subject(s) - isocenter , imaging phantom , image guided radiation therapy , calibration , image quality , image registration , artificial intelligence , nuclear medicine , rotation (mathematics) , computer vision , orientation (vector space) , software , medical imaging , computer science , physics , mathematics , optics , image (mathematics) , medicine , geometry , statistics , programming language
Purpose To simulate the impact of CBCT flat panel misalignment on the image quality, the calculated correction vectors in 3D image guided proton therapy and to determine if these calibration errors can be caught in our QA process. Methods The X‐ray source and detector geometrical calibration (flexmap) file of the CBCT system in the AdaPTinsight software (IBA proton therapy) was edited to induce known changes in the rotational and translational calibrations of the imaging panel. Translations of up to ±10 mm in the x, y and z directions (see supplemental) and rotational errors of up to ±3° were induced. The calibration files were then used to reconstruct the CBCT image of a pancreatic patient and CatPhan phantom. Correction vectors were calculated for the patient using the software's auto match system and compared to baseline values. The CatPhan CBCT images were used for quantitative evaluation of image quality for each type of induced error. Results Translations of 1 to 3 mm in the × and y calibration resulted in corresponding correction vector errors of equal magnitude. Similar 10mm shifts were seen in the y‐direction; however, in the x‐direction, the image quality was too degraded for a match. These translational errors can be identified through differences in isocenter from orthogonal kV images taken during routine QA. Errors in the z‐direction had no effect on the correction vector and image quality.Rotations of the imaging panel calibration resulted in corresponding correction vector rotations of the patient images. These rotations also resulted in degraded image quality which can be identified through quantitative image quality metrics. Conclusion Misalignment of CBCT geometry can lead to incorrect translational and rotational patient correction vectors. These errors can be identified through QA of the imaging isocenter as compared to orthogonal images combined with monitoring of CBCT image quality.