摘要:
An image reconstruction method for reconstructing a tomographic image (fj) of a region of investigation within an object (1), comprises the steps of providing detector data (yi) comprising Poisson random values measured at an i-th of a plurality of different positions, e.g. i=(k,l) with pixel index k on a detector device and angular index l referring to both the angular position (αl) and the rotation radius (rl) of the detector device (10) relative to the object (1), providing a predetermined system matrix Aij assigning a j-th voxel of the object (1) to the i-th detector data (yi), and reconstructing the tomographic image (fj) based on the detector data (yi), said reconstructing step including a procedure of minimizing a functional F(f) depending on the detector data (yi) and the system matrix Aij and additionally including a sparse or compressive representation of the object (1) in an orthobasis T, wherein the tomographic image (fj) represents the global minimum of the functional F(f). Furthermore, an imaging method and an imaging device using the image reconstruction method are described.
摘要翻译:一种用于重建物体(1)内的调查区域的断层图像(fj)的图像重建方法,包括以下步骤:提供检测器数据(yi),其包括在多个不同位置的第i个测量的泊松随机值 ,例如 i =(k,l),检测器装置上具有像素索引k,角度指数l指的是检测装置(10)相对于物体(1)的角位置(α1)和旋转半径(rl) 提供将对象(1)的第j个体素分配给第i个检测器数据(yi)的预定系统矩阵Aij,以及基于检测器数据(yi)重建断层图像(fj),所述重建步骤包括 根据检测器数据(yi)和系统矩阵Aij最小化功能F(f)的程序,并且还包括邻接位置T中的物体(1)的稀疏或压缩表示,其中断层图像(fj)表示 函数F(f)的全局最小值。 此外,描述了使用图像重建方法的成像方法和成像装置。
摘要:
An image reconstruction method for reconstructing a tomographic image (fj) of a region of investigation within an object (1), comprises the steps of providing detector data (yi) comprising Poisson random values measured at an i-th of a plurality of different positions, e.g. i=(k,l) with pixel index k on a detector device and angular index l referring to both the angular position (αl) and the rotation radius (rl) of the detector device (10) relative to the object (1), providing a predetermined system matrix Aij assigning a j-th voxel of the object (1) to the i-th detector data (yi), and reconstructing the tomographic image (fj) based on the detector data (yi), said reconstructing step including a procedure of minimizing a functional F(f) depending on the detector data (yi) and the system matrix Aij and additionally including a sparse or compressive representation of the object (1) in an orthobasis T, wherein the tomographic image (fj) represents the global minimum of the functional F(f). Furthermore, an imaging method and an imaging device using the image reconstruction method are described.
摘要翻译:一种用于重建物体(1)内的调查区域的断层图像(fj)的图像重建方法,包括以下步骤:提供检测器数据(yi),其包括在多个不同位置的第i个测量的泊松随机值 ,例如 i =(k,l),检测器装置上具有像素索引k,并且角度指数l指的是检测器装置(10)相对于物体(1)的角位置(α)和旋转半径(rl) 提供将对象(1)的第j个体素分配给第i检测器数据(yi)的预定系统矩阵Aij,以及基于检测器数据(yi)重建断层图像(fj),所述重建步骤包括 根据检测器数据(yi)和系统矩阵Aij最小化功能F(f)的程序,并且还包括邻接位置T中的物体(1)的稀疏或压缩表示,其中断层图像(fj)表示 函数F(f)的全局最小值。 此外,描述了使用图像重建方法的成像方法和成像装置。
摘要:
An image reconstruction method for reconstructing an image fmin representing a region of investigation within an object includes providing detector data (yi) having Poisson random values from an X-ray transmission measurement using an X-ray source and a detector device, the detector data (yi) being measured at an i-th of a plurality of different pixel positions of the detector device relative to the object, and reconstructing the image fmin based on the detector data (yi), the reconstructing step including a procedure of minimizing a functional F ( f _ ) = 1 k ∑ i = 1 k ( μ i - y i log μ i ) + a T - 1 f _ p where f is a current test image used for minimizing the functional F(f). The image fmin represents the global minimum of F(f).
摘要:
An image reconstruction method for reconstructing an image fmin representing a region of investigation within an object includes providing detector data (yi) having Poisson random values from an X-ray transmission measurement using an X-ray source and a detector device, the detector data (yi) being measured at an i-th of a plurality of different pixel positions of the detector device relative to the object, and reconstructing the image fmin based on the detector data (yi), the reconstructing step including a procedure of minimizing a functional F ( f _ ) = 1 k ∑ i = 1 k ( μ i - y i log μ i ) + a T - 1 f _ p where f is a current test image used for minimizing the functional F(f). The image fmin represents the global minimum of F(f).