Development of a Digital Chest Phantom for Studies on Energy Subtraction Techniques

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  • Hayashi Norio
    School of Radiological Technology, Gunma Prefectural College of Health Sciences
  • Taniguchi Anna
    School of Radiological Technology, Gunma Prefectural College of Health Sciences
  • Noto Kimiya
    Department of Radiological Technology, Kanazawa University Hospital
  • Shimosegawa Masayuki
    School of Radiological Technology, Gunma Prefectural College of Health Sciences
  • Ogura Toshihiro
    School of Radiological Technology, Gunma Prefectural College of Health Sciences
  • Doi Kunio
    School of Radiological Technology, Gunma Prefectural College of Health Sciences

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  • エネルギーサブトラクション技術を研究するためのディジタル胸部ファントムの開発
  • エネルギーサブトラクション ギジュツ オ ケンキュウ スル タメ ノ ディジタル キョウブ ファントム ノ カイハツ

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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.

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