Invention Grant
US07940884B2 Method and image reconstruction device for reconstructing image data
有权
用于重建图像数据的方法和图像重建装置
- Patent Title: Method and image reconstruction device for reconstructing image data
- Patent Title (中): 用于重建图像数据的方法和图像重建装置
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Application No.: US12729280Application Date: 2010-03-23
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Publication No.: US07940884B2Publication Date: 2011-05-10
- Inventor: Herbert Bruder , Thomas Flohr , Rainer Raupach , Karl Stierstorfer , John Sunnegårdh
- Applicant: Herbert Bruder , Thomas Flohr , Rainer Raupach , Karl Stierstorfer , John Sunnegårdh
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: DE102009014726 20090325
- Main IPC: A61B6/00
- IPC: A61B6/00

Abstract:
A method and an image reconstruction device are disclosed for reconstructing image data on the basis of input projection data obtained via an X-ray computerized tomography system. A target convolutional kernel is selected, which, when reconstructing image data from the input projection data using simple filtered back projection, would lead to target image characteristics. Image data is then reconstructed using an iterative reconstruction method of at least one embodiment. In at least one embodiment, the method includes a) reconstructing image data of a first iterative stage from the input projection data, b) generating synthetic projection data on the basis of the image data of the current iterative stage, c) forming difference projection data on the basis of the input projection data and the synthetic projection data, d) generating residue image data from the difference projection data, e) combining the residue image data with the image data of the current iterative stage to form image data of an additional iterative stage, wherein the image data of the current iterative stage is subjected to filtering before or during combination with the residue image data by using a regularization convolutional kernel which is determined on the basis of the selected target convolutional kernel, and f) repeating b) to e) until a termination condition occurs.
Public/Granted literature
- US20100246751A1 METHOD AND IMAGE RECONSTRUCTION DEVICE FOR RECONSTRUCTING IMAGE DATA Public/Granted day:2010-09-30
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