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CBCT Reconstruction of a Full Couch Using Rigid Registration and Pre-Scanned Couch Image and Its Clinical Application

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E Hu

E Hu*, G Lasio, M Lee, S Chen, B Yi, Univ. of Maryland School Of Medicine, Baltimore, MD


SU-E-J-76 (Sunday, July 12, 2015) 3:00 PM - 6:00 PM Room: Exhibit Hall

Purpose:Only a part of a treatment couch is reconstructed in CBCT due to the limited field of view (FOV). This often generates inaccurate results in the delivered dose evaluation with CBCT and more noise in the CBCT reconstruction. Full reconstruction of the couch at treatment setup can be used for more accurate exit beam dosimetry. The goal of this study is to develop a method to reconstruct a full treatment couch using a pre-scanned couch image and rigid registration.

Methods:A full couch (Exact Couch, Varian) model image was reconstructed by rigidly registering and combining two sets of partial CBCT images. The full couch model includes three parts: two side rails and a couch top. A patient CBCT was reconstructed with reconstruction grid size larger than the physical field of view to include the full couch. The image quality of the couch is not good due to data truncation, but good enough to allow rigid registration of the couch. A composite CBCT image of the patient plus couch has been generated from the original reconstruction by replacing couch portion with the pre-acquired model couch, rigidly registered to the original scan. We evaluated the clinical usefulness of this method by comparing treatment plans generated on the original and on the modified scans.

Results:The full couch model could be attached to a patient CBCT image set via rigid image registration. Plan DVHs showed 1~2% difference between plans with and without full couch modeling.

Conclusion:The proposed method generated a full treatment couch CBCT model, which can be successfully registered to the original patient image.. This method was also shown to be useful in generating more accurate dose distributions, by lowering 1~2% dose in PTV and a few other critical organs.

Funding Support, Disclosures, and Conflict of Interest: Part of this study is supported by NIH R01CA133539.

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