Paper
10 March 2009 Noise analysis in intensity-weighted region-of-interest imaging for cone-beam CT
Seungryong Cho, Erik Pearson, Charles A. Pelizzari, Xiaochuan Pan
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725807 (2009) https://doi.org/10.1117/12.811347
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
We have previously introduced an intensity-weighted region-of-interest (IWROI) technique for image-guided radiation therapy (IGRT), where the outer ROI receives lower exposure than the inner ROI by use of intensity weighting (IW-) filters during the scan. Image noise level, as a result, in the outer ROI will be higher than that in the inner ROI after reconstruction. CBCT images are to be registered to planning CT images and there exist a number of imageregistration algorithms, some of which are relatively more robust against image noise. The IW-filters should be designed so that the outer ROI images have noise levels slightly less than the tolerance of the registiration algorithm resulting in maximum reduction to patient exposure. Therefore, a proper study can guide the filter design based on noise characteristics of the image reconstruction. As a part of the study, we investigated the noise propagation from the projections to the reconstructed image in this work. Also, we obtained the experimental noise characteristics of projections for varying exposure, simulated a pelvis imaging using the NCAT phantom, and performed an image registration of the reconstructed image to the phantom image.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seungryong Cho, Erik Pearson, Charles A. Pelizzari, and Xiaochuan Pan "Noise analysis in intensity-weighted region-of-interest imaging for cone-beam CT", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725807 (10 March 2009); https://doi.org/10.1117/12.811347
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KEYWORDS
Image registration

Image filtering

Computed tomography

Reconstruction algorithms

3D image reconstruction

Image restoration

Imaging systems

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