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Field-Of-View Expansion in Cone-Beam CT Reconstruction by Use of Prior Information

A Haga

A Haga1*, T Magome1 , M Nakano1 , J Kotoku2 , K Nakagawa1 , (1) University of Tokyo Hospital, Tokyo, (2) Teikyo University, Tokyo


SU-F-J-23 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall

Cone-beam CT (CBCT) has become an integral part of online patient setup in an image-guided radiation therapy (IGRT). In addition, the utility of CBCT for dose calculation has actively been investigated. However, the limited size of field-of-view (FOV) and resulted CBCT image with a lack of peripheral area of patient body prevents the reliability of dose calculation. In this study, we aim to develop an FOV expanded CBCT in IGRT system to allow the dose calculation.

Three lung cancer patients were selected in this study. We collected the cone-beam projection images in the CBCT-based IGRT system (X-ray volume imaging unit, ELEKTA), where FOV size of the provided CBCT with these projections was 410 x 410 mm² (normal FOV). Using these projections, CBCT with a size of 728 x 728 mm² was reconstructed by a posteriori estimation algorithm including a prior image constrained compressed sensing (PICCS). The treatment planning CT was used as a prior image. To assess the effectiveness of FOV expansion, a dose calculation was performed on the expanded CBCT image with region-of-interest (ROI) density mapping method, and it was compared with that of treatment planning CT as well as that of CBCT reconstructed by filtered back projection (FBP) algorithm.

A posteriori estimation algorithm with PICCS clearly visualized an area outside normal FOV, whereas the FBP algorithm yielded severe streak artifacts outside normal FOV due to under-sampling. The dose calculation result using the expanded CBCT agreed with that using treatment planning CT very well; a maximum dose difference was 1.3% for gross tumor volumes.

With a posteriori estimation algorithm, FOV in CBCT can be expanded. Dose comparison results suggested that the use of expanded CBCTs is acceptable for dose calculation in adaptive radiation therapy.

Funding Support, Disclosures, and Conflict of Interest: This study has been supported by KAKENHI (15K08691).

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