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- W2119585045 abstract "The success of on-line image guided radiation therapy (IGRT) depends critically on the quality of images obtained from on-board CBCT systems. CBCT images are especially poor in terms of low-contrast visualization (e.g., in the case of mobile liver metastases). In order to enhance CBCT images, and specifically to enhance the low contrast visualization of these images, a novel back-projection filtering (BPF) image reconstruction algorithm was implemented and compared to the conventional and clinically implemented FDK approach. Instead of using the well-known FDK image reconstruction algorithm which filters projection data prior to back-projection, we have implemented the back-projection process prior to filtration. The chosen filter was subsequently applied to the reconstructed volume. The direction of the filter was set orthogonal to the back projection angle and a ramp filter was used during the filtering process. For comparison, projections data of the CatPhan phantom was acquired using the Varian On-Board Imager (OBI, Varian Medical Systems, Palo Alto, CA). Images were acquired using the standard full-fan mode with the aluminum full-bow-tie filter. In this setting, 379 2D cone-beam projections were acquired over 200 degrees using 100 kVp, 20 mA, and 20 ms/frame. The projections data were then reconstructed with both the FDK and BPF methods. The contrast layer of the CatPhan phantom was evaluated and the contrast-to-noise ratio (CNR) was calculated on all inserts available. Comparing the CNR on both of the reconstructed images using the CatPhan phantom, the BPF method resulted in significant increase in CNR for all inserts evaluated. Upon measuring Air and Teflon inserts (CT numbers of -1000 and 990, respectively), the measured CNR improved by >2.5 times. This increase was due both to increased contrast and decreased noise throughout the reconstructed volume. Moreover, it was observed that the BPF images showed visually clean images with noticeably better edge preservation than that of the FDK-reconstructed images. In this study, a novel BPF image reconstruction algorithm was developed and compared with the standard FDK algorithm. It was shown that the image quality reconstructed with the BPF algorithm is superior to the standard FDK reconstruction algorithm in terms of CNR and edge preservation. However, further studies are required to determine its clinical impact." @default.
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- W2119585045 date "2010-11-01" @default.
- W2119585045 modified "2023-10-15" @default.
- W2119585045 title "Implementation of Back-projection Filtering Algorithm for Image Reconstruction of On-board Cone-Beam CT" @default.
- W2119585045 doi "https://doi.org/10.1016/j.ijrobp.2010.07.1740" @default.
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