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Technical Note: A model-based sinogram correction for beam hardening artifact reduction in CT.
Lee, Sung Min; Seo, Jin Keun; Chung, Yong Eun; Baek, Jongduk; Park, Hyoung Suk.
  • Lee SM; Department of Computational Science and Engineering, Yonsei University, Seoul, 03722, Korea.
  • Seo JK; Department of Computational Science and Engineering, Yonsei University, Seoul, 03722, Korea.
  • Chung YE; Department of Radiology, Yonsei University College of Medicine, 03722, Korea.
  • Baek J; School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, 406-840, Korea.
  • Park HS; National Institute for Mathematical Sciences, Daejeon, 34047, Korea.
Med Phys ; 44(9): e147-e152, 2017 Sep.
Article en En | MEDLINE | ID: mdl-28901618
PURPOSE: This study aims to propose a physics-based method of reducing beam-hardening artifacts induced by high-attenuation materials such as metal stents or other metallic implants. METHODS: The proposed approach consists of deriving a sinogram inconsistency formula representing the energy dependence of the attenuation coefficient of high-attenuation materials. This inconsistency formula more accurately represents the inconsistencies of the sinogram than that of a previously reported formula (called the MAC-BC method). This is achieved by considering the properties of the high-attenuation materials, which include the materials' shapes and locations and their effects on the incident X-ray spectrum, including their attenuation coefficients. RESULTS: Numerical simulation and phantom experiment demonstrate that the modeling error of MAC-BC method are nearly completely removed by means of the proposed method. CONCLUSION: The proposed method reduces beam-hardening artifacts arising from high-attenuation materials by relaxing the assumptions of the MAC-BC method. In doing so, it outperforms the original MAC-BC method. Further research is required to address other potential sources of metal artifacts, such as photon starvation, scattering, and noise.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Artefactos Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Artefactos Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article