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Region-Based Automatic Regularization Parameter Tuning in CT Reconstruction

Published: 24 August 2019 Publication History

Abstract

In iterative CT reconstruction, the regularization parameter is quite important because it balances the fidelity term and penalty term. Images reconstructed with the optimal regularization parameter will keep the detail preserved and the noise restrained at the same time. While in conventional CT reconstruction, the selection of the regularization parameter is very time-consuming. Besides, the fixed regularization parameter during the iterations is not suitable for every area. For example, the bone area contains more noise than soft tissue areas. With fixed regularization parameter may sacrifice the other resolution. In order to solve this question, in this paper, we proposed an automatic regularization parameter tuning strategy based on region variance. The proposed method based on the region variance tunes the regularization parameter automatically. Experiments show that the proposed method exhibits well in small detail preservation and noise reduction.

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  • (2021)Fully Vacuum-Sealed Diode-Structure Addressable ZnO Nanowire Cold Cathode Flat-Panel X-ray Source: Fabrication and Imaging ApplicationNanomaterials10.3390/nano1111311511:11(3115)Online publication date: 18-Nov-2021

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  1. Region-Based Automatic Regularization Parameter Tuning in CT Reconstruction

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    ISICDM 2019: Proceedings of the Third International Symposium on Image Computing and Digital Medicine
    August 2019
    370 pages
    ISBN:9781450372626
    DOI:10.1145/3364836
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Xidian University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 August 2019

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    Author Tags

    1. CT reconstruction
    2. Regularization parameter
    3. automatic segmentation
    4. region variance

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    • (2021)Fully Vacuum-Sealed Diode-Structure Addressable ZnO Nanowire Cold Cathode Flat-Panel X-ray Source: Fabrication and Imaging ApplicationNanomaterials10.3390/nano1111311511:11(3115)Online publication date: 18-Nov-2021

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