Comput Methods Programs Biomed - Evaluating iterative algebraic algorithms in terms of convergence and image quality for cone beam CT.

Tópicos

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Resumo

Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from a set of 2D projection data. It plays an important role in image guided radiation therapy (IGRT). However, it is desirable to lower the patient radiation dose while maintaining good quality tomographic reconstructions. Hence, methods are needed even when the data is undersampled or there are limited projections. Iterative algorithms such as ART, SART and OS-SART are known to perform well under such circumstances. The performance of ART, SART and OS-SART is here studied based on a range of norm measurements (RMS reconstruction error, RMS projection error, and the L1 norm and L2 norm of the image error). Image quality measurements for uniformity and noise are also introduced. Since image quality often degrades as iterative algorithms converge, a simple function is used to trade off convergence with image quality. Investigations are performed using simulated and experimental data.

Resumo Limpo

cone beam comput tomographi cbct enabl volumetr imag reconstruct set d project data play import role imag guid radiat therapi igrt howev desir lower patient radiat dose maintain good qualiti tomograph reconstruct henc method need even data undersampl limit project iter algorithm art sart ossart known perform well circumst perform art sart ossart studi base rang norm measur rms reconstruct error rms project error l norm l norm imag error imag qualiti measur uniform nois also introduc sinc imag qualiti often degrad iter algorithm converg simpl function use trade converg imag qualiti investig perform use simul experiment data

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