Combining acceleration techniques for low-dose x-ray cone beam computed tomography image reconstruction

Hsuan Ming Huang, Ing Tsung Hsiao*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review


Background and Objective. Over the past decade, image quality in low-dose computed tomography has been greatly improved by various compressive sensing- (CS-) based reconstruction methods. However, these methods have some disadvantages including high computational cost and slow convergence rate. Many different speed-up techniques for CS-based reconstruction algorithms have been developed. The purpose of this paper is to propose a fast reconstruction framework that combines a CS-based reconstruction algorithm with several speed-up techniques. Methods. First, total difference minimization (TDM) was implemented using the soft-threshold filtering (STF). Second, we combined TDM-STF with the ordered subsets transmission (OSTR) algorithm for accelerating the convergence. To further speed up the convergence of the proposed method, we applied the power factor and the fast iterative shrinkage thresholding algorithm to OSTR and TDM-STF, respectively. Results. Results obtained from simulation and phantom studies showed that many speed-up techniques could be combined to greatly improve the convergence speed of a CS-based reconstruction algorithm. More importantly, the increased computation time (≤10%) was minor as compared to the acceleration provided by the proposed method. Conclusions. In this paper, we have presented a CS-based reconstruction framework that combines several acceleration techniques. Both simulation and phantom studies provide evidence that the proposed method has the potential to satisfy the requirement of fast image reconstruction in practical CT.

Original languageEnglish
Article number6753831
JournalBioMed Research International
StatePublished - 2017

Bibliographical note

Publisher Copyright:
© 2017 Hsuan-Ming Huang and Ing-Tsung Hsiao.


Dive into the research topics of 'Combining acceleration techniques for low-dose x-ray cone beam computed tomography image reconstruction'. Together they form a unique fingerprint.

Cite this