Dual-energy imaging of the chest: Optimization of image acquisition techniques for the 'bone-only' image

N. A. Shkumat, J. H. Siewerdsen, S. Richard, N. S. Paul, J. Yorkston, R. Van Metter

Research output: Contribution to journalArticle

Abstract

Experiments were conducted to determine optimal acquisition techniques for bone image decompositions for a prototype dual-energy (DE) imaging system. Technique parameters included kVp pair (denoted [kVpL kVpH]) and dose allocation (the proportion of dose in low- and high-energy projections), each optimized to provide maximum signal difference-to-noise ratio in DE images. Experiments involved a chest phantom representing an average patient size and containing simulated ribs and lung nodules. Low- and high-energy kVp were varied from 60-90 and 120-150 kVp, respectively. The optimal kVp pair was determined to be [60/130] kVp, with image quality showing a strong dependence on low-kVp selection. Optimal dose allocation was approximately 0.5-i.e., an equal dose imparted by the low- and high-energy projections. The results complement earlier studies of optimal DE soft-tissue image acquisition, with differences attributed to the specific imaging task. Together, the results help to guide the development and implementation of high-performance DE imaging systems, with applications including lung nodule detection and diagnosis, pneumothorax identification, and musculoskeletal imaging (e.g., discrimination of rib fractures from metastasis).

Original languageEnglish (US)
Pages (from-to)629-632
Number of pages4
JournalMedical physics
Volume35
Issue number2
DOIs
StatePublished - 2008

Keywords

  • Cardiac gating
  • Dual-energy imaging
  • Flat-panel detector
  • Image acquisition technique
  • Image quality
  • Imaging dose
  • Imaging performance
  • Lung cancer
  • Optimization
  • Thoracic imaging

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Dual-energy imaging of the chest: Optimization of image acquisition techniques for the 'bone-only' image'. Together they form a unique fingerprint.

  • Cite this