Computed tomography metal artifact correction method and apparatus
A technology of metal artifacts and correction methods, applied in computing, image enhancement, image analysis, etc., can solve the problems of image loss information, artifacts destroying tissue structure, etc.
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Embodiment 1
[0034] figure 2 A schematic flow chart of the metal artifact correction method of the first embodiment is shown. In this embodiment, step S1 is executed, and the image to be corrected is first input, and the image is obtained by the aforementioned computer tomography device. The input image can be a normal FoV (field of view, field of view) image in the image reconstruction process. If the normal FoV image does not cover the entire metal area, a full FoV image can also be used as the input, or the normal FoV image and the full The FoV image is also used as input. In addition, it can also input the image that has been filtered to remove noise during the reconstruction process to improve the quality of correction. This embodiment does not specifically limit the format, type, FoV size, and resolution of the input image. As long as the image has metal artifacts that need to be corrected, it can be used as the correction target of this embodiment.
[0035] Step S2 is executed to obt...
Embodiment 2
[0062] In order to obtain a better correction effect, in the process of obtaining the corrected image according to the third projection data, further correction may be performed according to the third projection data, that is, the second correction. According to the result of the second correction, other MAR methods can be further used, or the weighted correction method disclosed in the present invention can be re-corrected to obtain a corrected image.
[0063] E.g, Figure 5 The flowchart of the second embodiment of the present invention is shown. In this embodiment, a second correction is performed on the third projection data, and further operations such as weighting and information compensation are performed in the projection domain according to the second correction result to generate a corrected image.
[0064] Specifically, see Figure 5 As shown: first, input the image to be corrected (step S501) and perform a first correction operation on the image to be corrected (step S5...
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