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X-ray CT geometrical calibration via locally linear embedding.
Chen, Mianyi; Xi, Yan; Cong, Wenxiang; Liu, Baodong; Wei, Biao; Wang, Ge.
Afiliación
  • Chen M; Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China.
  • Xi Y; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Cong W; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Liu B; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Wei B; Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
  • Wang G; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing, China.
J Xray Sci Technol ; 24(2): 241-56, 2016.
Article en En | MEDLINE | ID: mdl-27002904
For X-ray computed tomography (CT), geometric calibration and rigid patient motion compensation are inter-related issues for optimization of image reconstruction quality. Non-calibrated system geometry and patient movement during a CT scan will result in streak-like, blurring and other artifacts in reconstructed images. In this paper, we propose a locally linear embedding based calibration approach to address this challenge under a rigid 2D object assumption and a more general way than what has been reported before. In this method, projections are linearly represented by up-sampled neighbors via locally linear embedding, and CT system parameters are iteratively estimated from projection data themselves. Numerical and experimental studies show that images reconstructed with calibrated parameters are in excellent agreement with the counterparts reconstructed with the true parameters.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Tomografía Computarizada por Rayos X Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Xray Sci Technol Asunto de la revista: RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Tomografía Computarizada por Rayos X Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Xray Sci Technol Asunto de la revista: RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos