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Clinical Four Dimensional Computed Tomography Reconstruction using Redundant Rays and Inpainting by A.D. Green; C. Ramsey; A. Usynin; C. Harris is a Medicine article available to read on EtoBox.

What is Clinical Four Dimensional Computed Tomography Reconstruction using Redundant Rays and Inpainting about?

less to the estimation of attenuation map. The penalty term takes an anisotropic quadratic form with different weights according to the gradient between the neighboring voxels so that the edges or boundaries in the image will be well-preserved. The CBCT image was reconstructed by minimizing the PWLS objective function using Gauss-Seidel updating strategy. The algorithm was evaluated with a CT quality assurance phantom, an anthropomorphic head phantom and three clinical cases of different sites. Results: Noise in the low-mAs CBCT images was greatly suppressed when the iterative reconstruction algorithm was applied. The PWLS image reconstruction algorithm is superior over the conventional FDK approach in flexibility in modeling the image data. By incorporating the noise properties into the reconstruction process, the iterative approach was able to lower the CBCT imaging dose by an order of magnitude without noticeable sacrifice of the spatial resolution. For both phantom and patient studies, image quality of the low-dose (0.1mAs/projection) CBCT reconstructed from the PWLS criterion is comparable to its corresponding normal-dose (1.0 mAs/projection) images. Conclusions: Statistical i

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Author

A.D. Green; C. Ramsey; A. Usynin; C. Harris

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)

Published

2008

Language

EN

Field

Medicine (Health Sciences)