title: Dual energy imaging using a clinical on-board imaging system.
abstract: Dual energy (DE) imaging consists of obtaining kilovoltage (kV) x-ray images at two different diagnostic energies and performing a weighted subtraction of these images. A third image is then produced that highlights soft tissue. DE imaging has been used by radiologists to aid in the detection of lung malignancies. However, it has not been used clinically in radiotherapy. The goal of this study is to assess the feasibility of performing DE imaging using a commercial on-board imaging system. Both a simple and an anthropomorphic phantom were constructed for this analysis. Planar kV images of the phantoms were obtained using varied imaging energies and mAs. Software was written to perform DE subtraction using empirically determined weighting factors. Tumor detectability was assessed quantitatively using the signal-difference-to-noise ratio (SDNR). Overall DE subtraction suppressed high density objects in both phantoms. The optimal imaging technique, providing the largest SDNR with a dose less than our reference technique was 140 kVp, 1.0 mAs and 60 kVp, 3.2 mAs. Based on this analysis, DE subtraction imaging is feasible using a commercial on-board imaging system and may improve the visualization of tumors in lung cancer patients undergoing image-guided radiotherapy.
authors.affiliation: Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL 60153, USA.
authors.forename: M A
authors.initials: MA
authors.lastname: Hoggarth
authors.forename: J
authors.initials: J
authors.lastname: Luce
authors.forename: F
authors.initials: F
authors.lastname: Syeda
authors.forename: T S
authors.initials: TS
authors.lastname: Bray
authors.forename: A
authors.initials: A
authors.lastname: Block
authors.forename: S
authors.initials: S
authors.lastname: Nagda
authors.forename: J C
authors.initials: JC
authors.lastname: Roeske
mesh_terms: D005240:Feasibility Studies; D019047:Phantoms, Imaging; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*