Study on Iterative Reconstruction Methods for Helical CT

Project: Atomic Energy CouncilAtomic Energy Council Commission Research

Project Details


Helical CT systems that combine x-ray source rotation with continuous bed moving along the rotation axis have the advantage of fast scanning and low dose, thus improving spatial and temporal resolutions, and also offers better dynamic information. Conventional analytical reconstruction method, FBP (Filtered Backprojection), is used widely due to its fast reconstruction speed. However, under the conditions of low energy, low dosage, and helical scanning, the image quality from FBP reconstruction in modern CT is sub-optimal due to many reasons. It has been proved that iterative reconstruction outperforms FBP with better image qualities. Iterative reconstruction method can overcome the above problems with correct noise and physical modeling, and can be readily adapted to different geometrical systems. We have previously studied a circular cone-beam CT reconstruction problem, and proposed a fast iterative CT reconstruction algorithm. Here, we propose to build up an iterative reconstruction platform for a more qualitative helical CT reconstruction for the helical CT system developed in INER. We will first extend the work in cone-beam CT reconstruction framework, and build up a helical CT system model, and then a fast iterative CT reconstruction. This helical system will facilitate the physical effect corrections including scatter, metal artifact and beam-hardening, in the future.

Project IDs

Project ID:PG9606-0148
External Project ID:962001INER048
Effective start/end date01/01/0731/12/07


  • Helical CT
  • Iterative Reconstruction
  • Ordered-Subset Reconstruction Method


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