title: [Development of a digital chest phantom for studies on energy subtraction techniques].
abstract: Digital chest phantoms continue to play a significant role in optimizing imaging parameters for chest X-ray examinations. The purpose of this study was to develop a digital chest phantom for studies on energy subtraction techniques under ideal conditions without image noise. Computed tomography (CT) images from the LIDC (Lung Image Database Consortium) were employed to develop a digital chest phantom. The method consisted of the following four steps: 1) segmentation of the lung and bone regions on CT images; 2) creation of simulated nodules; 3) transformation to attenuation coefficient maps from the segmented images; and 4) projection from attenuation coefficient maps. To evaluate the usefulness of digital chest phantoms, we determined the contrast of the simulated nodules in projection images of the digital chest phantom using high and low X-ray energies, soft tissue images obtained by energy subtraction, and "gold standard" images of the soft tissues. Using our method, the lung and bone regions were segmented on the original CT images. The contrast of simulated nodules in soft tissue images obtained by energy subtraction closely matched that obtained using the gold standard images. We thus conclude that it is possible to carry out simulation studies based on energy subtraction techniques using the created digital chest phantoms. Our method is potentially useful for performing simulation studies for optimizing the imaging parameters in chest X-ray examinations.
authors.affiliation: School of Radiological Technology, Gunma Prefectural College of Health Sciences.
authors.forename: Norio
authors.initials: N
authors.lastname: Hayashi
authors.forename: Anna
authors.initials: A
authors.lastname: Taniguchi
authors.forename: Kimiya
authors.initials: K
authors.lastname: Noto
authors.forename: Masayuki
authors.initials: M
authors.lastname: Shimosegawa
authors.forename: Toshihiro
authors.initials: T
authors.lastname: Ogura
authors.forename: Kunio
authors.initials: K
authors.lastname: Doi
mesh_terms: D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D019047:Phantoms, Imaging / Q000639:trends; D011829:Radiation Dosage; D011856:Radiographic Image Enhancement / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D013902:Radiography, Thoracic / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D013382:Subtraction Technique / Q000295:instrumentation; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods* / Q000639:trends