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A GPU-based fast volume CT reconstructive algorithm method / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 238-242, 2011.
Article in Chinese | WPRIM | ID: wpr-306585
ABSTRACT
In order to solve the time-consuming problem in volume CT image reconstruction field, we brought forward a fast reconstructive algorithm method to fit the clinic medicine. First, using the great parallel and Floating-Point power of graphic processing unit (GPU), we proposed a volume CT GPU- based reconstruction method. Second, in order to reduce the repetitive operation, we separated the geometry computation and pixel computation. As a result, the computation efficiency was further improved. At last, based on the background of medical engineering, the parallel of volume CT scan and reconstruction was implemented. The results demonstrated that the volume CT reconstruction time could reduce up to 70 times compared to the previous one in common PC by the fast reconstructive algorithm method.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Computer Graphics / Image Processing, Computer-Assisted / Radiographic Image Interpretation, Computer-Assisted / Radiographic Image Enhancement / Cone-Beam Computed Tomography / Methods Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2011 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Computer Graphics / Image Processing, Computer-Assisted / Radiographic Image Interpretation, Computer-Assisted / Radiographic Image Enhancement / Cone-Beam Computed Tomography / Methods Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2011 Type: Article