Adaptive multi-scale total variation minimization filter for low dose CT imaging

Alexander Zamyatin; Gene Katsevich; Roman Krylov; Bibo Shi; Zhi Yang

doi:10.1117/12.2043841

21 March 2014 Adaptive multi-scale total variation minimization filter for low dose CT imaging

Alexander Zamyatin, Gene Katsevich, Roman Krylov, Bibo Shi, Zhi Yang

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 903426 (2014) https://doi.org/10.1117/12.2043841
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In this work we revisit TV filter and propose an improved version that is tailored to diagnostic CT purposes. We revise TV cost function, which results in symmetric gradient function that leads to more natural noise texture. We apply a multi-scale approach to resolve noise grain issue in CT images. We examine noise texture, granularity, and loss of low contrast in the test images. We also discuss potential acceleration by Nesterov and Conjugate Gradient methods.

Citation Download Citation

Alexander Zamyatin, Gene Katsevich, Roman Krylov, Bibo Shi, and Zhi Yang "Adaptive multi-scale total variation minimization filter for low dose CT imaging", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903426 (21 March 2014); https://doi.org/10.1117/12.2043841

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