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    • 2. 发明授权
    • Image reconstruction from limited or incomplete data
    • 从有限或不完整的数据重建图像
    • US08605975B2
    • 2013-12-10
    • US12223946
    • 2007-02-12
    • Xiaochuan M. PanEmil SidkyChien-min Kao
    • Xiaochuan M. PanEmil SidkyChien-min Kao
    • G06K9/00G06K9/46
    • G06T11/006G06T11/005G06T2211/424G06T2211/432G06T2211/436
    • A system and method are provided for reconstructing images from limited or incomplete data, such as few view data or limited angle data or truncated data (including exterior and interior data) generated from divergent beams. In one aspect of the invention, the method and apparatus iteratively constrains the variation of an estimated image in order to reconstruct the image. As one example, a divergent beam maybe used to generate data (“actual data”). As discussed above, the actual data may be less than sufficient to exactly reconstruct the image by conventional techniques, such as FBP. In order to reconstruct an image, a first estimated image may be generated. Estimated data may be generated from the first estimated image, and compared with the actual data. The comparison of the estimated data with the actual data may include determining a difference between the estimated and actual data. The comparison may then be used to generate a new estimated image. For example, the first estimated image may be combined with an image generated from the difference data to generate a new estimated image. In order to generate the image for the next iteration, the variation of the new estimated image may be constrained. For example, the variation of the new estimated image may be at least partly constrained in order to lessen or reducing the total variation of the image.
    • 提供了一种系统和方法,用于从有限或不完整的数据重建图像,例如由发散光束产生的少量视图数据或有限角度数据或截断数据(包括外部和内部数据)。 在本发明的一个方面,该方法和装置迭代地约束了估计图像的变化,以便重建图像。 作为一个示例,可以使用发散光束来生成数据(“实际数据”)。 如上所述,实际数据可能不足以通过诸如FBP的常规技术精确地重建图像。 为了重建图像,可以生成第一估计图像。 可以从第一估计图像生成估计数据,并与实际数据进行比较。 估计数据与实际数据的比较可以包括确定估计数据和实际数据之间的差异。 然后可以使用比较来生成新的估计图像。 例如,第一估计图像可以与从差数据生成的图像组合以生成新的估计图像。 为了生成用于下一次迭代的图像,新估计图像的变化可能受到约束。 例如,新估计图像的变化可以至少部分地被限制,以便减少或减少图像的总变化。
    • 3. 发明申请
    • Image Reconstruction From Limited or Incomplete Data
    • 数据有限或不完整的图像重建
    • US20110044546A1
    • 2011-02-24
    • US12223946
    • 2007-02-12
    • Xiaochuan M. PanEmil SidkyChien-min Kao
    • Xiaochuan M. PanEmil SidkyChien-min Kao
    • G06K9/46
    • G06T11/006G06T11/005G06T2211/424G06T2211/432G06T2211/436
    • A system and method are provided for reconstructing images from limited or incomplete data, such as few view data or limited angle data or truncated data (including exterior and interior data) generated from divergent beams. In one aspect of the invention, the method and apparatus iteratively constrains the variation of an estimated image in order to reconstruct the image. As one example, a divergent beam maybe used to generate data (“actual data”). As discussed above, the actual data may be less than sufficient to exactly reconstruct the image by conventional techniques, such as FBP. In order to reconstruct an image, a first estimated image may be generated. Estimated data may be generated from the first estimated image, and compared with the actual data. The comparison of the estimated data with the actual data may include determining a difference between the estimated and actual data. The comparison may then be used to generate a new estimated image. For example, the first estimated image may be combined with an image generated from the difference data to generate a new estimated image. In order to generate the image for the next iteration, the variation of the new estimated image may be constrained. For example, the variation of the new estimated image may be at least partly constrained in order to lessen or reducing the total variation of the image.
    • 提供了一种系统和方法,用于从有限或不完整的数据重建图像,例如由发散光束产生的少量视图数据或有限角度数据或截断数据(包括外部和内部数据)。 在本发明的一个方面,该方法和装置迭代地约束了估计图像的变化,以便重建图像。 作为一个示例,可以使用发散光束来生成数据(“实际数据”)。 如上所述,实际数据可能不足以通过诸如FBP的常规技术精确地重建图像。 为了重建图像,可以生成第一估计图像。 可以从第一估计图像生成估计数据,并与实际数据进行比较。 估计数据与实际数据的比较可以包括确定估计数据和实际数据之间的差异。 然后可以使用比较来生成新的估计图像。 例如,第一估计图像可以与从差数据生成的图像组合以生成新的估计图像。 为了生成用于下一次迭代的图像,新估计图像的变化可能受到约束。 例如,新估计图像的变化可以至少部分地被限制,以便减少或减少图像的总变化。