3D reconstruction based on compressed-sensing (CS)-based framework by using a dental panoramic detector

Phys Med. 2016 Jan;32(1):213-7. doi: 10.1016/j.ejmp.2015.09.005. Epub 2015 Oct 20.

Abstract

In this work, we propose a practical method that can combine the two functionalities of dental panoramic and cone-beam CT (CBCT) features in one by using a single panoramic detector. We implemented a CS-based reconstruction algorithm for the proposed method and performed a systematic simulation to demonstrate its viability for 3D dental X-ray imaging. We successfully reconstructed volumetric images of considerably high accuracy by using a panoramic detector having an active area of 198.4 mm × 6.4 mm and evaluated the reconstruction quality as a function of the pitch (p) and the angle step (Δθ). Our simulation results indicate that the CS-based reconstruction almost completely recovered the phantom structures, as in CBCT, for p≤2.0 and θ≤6°, indicating that it seems very promising for accurate image reconstruction even for large-pitch and few-view data. We expect the proposed method to be applicable to developing a cost-effective, volumetric dental X-ray imaging system.

Keywords: Compressed-sensing; Dental panoramic detector; Spiral scan; Zigzag scan.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Simulation
  • Cone-Beam Computed Tomography / methods*
  • Cost-Benefit Analysis
  • Data Compression
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Models, Theoretical
  • Mouth / diagnostic imaging*
  • Phantoms, Imaging
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiography, Dental / methods*
  • Reproducibility of Results
  • Tooth / diagnostic imaging
  • X-Rays