Development of limited-angle iterative reconstruction algorithms with context encoder-based sinogram completion for micro-CT applications

Shih Chun Jin, Chia Jui Hsieh, Jyh Cheng Chen*, Shih Huan Tu, Ya Chen Chen, Tzu-Chien Hsiao, Angela Liu, Wen Hsiang Chou, Woei Chyn Chu, Chih Wei Kuo

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined with LAIR, provides the image quality of a conventional CT system. This study describes the construction of different scan acquisition protocols for micro-CT system applications. Fully-sampled Feldkamp (FDK)-reconstructed images were used as references for comparison to assess the image quality produced by these tested protocols. The insufficient portions of a sinogram were inpainted by applying a context encoder (CE), a type of generative adversarial network, to the LAIR process. The context image was passed through an encoder to identify features that were connected to the decoder using a channel-wise fully-connected layer. Our results evidence the excellent performance of this novel approach. Even when we reduce the radiation dose by 1/4, the iterative-based LAIR improved the full-width half-maximum, contrast-to-noise and signal-to-noise ratios by 20% to 40% compared to a fully-sampled FDK-based reconstruction. Our data support that this CE-based sinogram completion method enhances the efficacy and efficiency of LAIR and that would allow feasibility of limited angle reconstruction.

Original languageEnglish
Article number4458
JournalSensors (Switzerland)
Volume18
Issue number12
DOIs
StatePublished - 1 Dec 2018

Keywords

  • Context encoder (CE)
  • Generative adversarial network (GAN)
  • Limited-angle iterative reconstruction (LAIR)

Fingerprint Dive into the research topics of 'Development of limited-angle iterative reconstruction algorithms with context encoder-based sinogram completion for micro-CT applications'. Together they form a unique fingerprint.

  • Cite this

    Jin, S. C., Hsieh, C. J., Chen, J. C., Tu, S. H., Chen, Y. C., Hsiao, T-C., Liu, A., Chou, W. H., Chu, W. C., & Kuo, C. W. (2018). Development of limited-angle iterative reconstruction algorithms with context encoder-based sinogram completion for micro-CT applications. Sensors (Switzerland), 18(12), [4458]. https://doi.org/10.3390/s18124458