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19 March 2014 A sinogram based technique for image correction and removal of metal clip artifacts in cone beam breast CT
T. Wang, Y. Shen, Y. Zhong, C.-J. Lai, J. Wang, C. C. Shaw
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Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90332S (2014) https://doi.org/10.1117/12.2043927
Event: SPIE Medical Imaging, 2014, San Diego, California, United States
Abstract
Cone beam CT (CBCT) technique provides true three-dimensional (3D) images of a breast; however, metal clips and needles used for surgical planning can cause artifacts, which may extend to many adjacent slices, in the reconstructed images obtained by the Feldkamp-Davis-Kress (FDK) filtered backprojection method,. In this paper, a sinogram based method to remove the metal clips in the projection image data is described and discussed for improving the quality of reconstructed breast images. First, the original projection data was reconstructed using the FDK algorithm to obtain a volumetric image with metal clips and artifacts. Second, the volumetric image was segmented by using the threshold method to obtain a 3D map of metal objects. Third, a forward projection algorithm is applied to the metal object map to obtain projection map of metal objects. Finally, the original projection images and projection map of metal objects are reorganized into sinograms for correction in the angular space on a pixel-by-pixel basis. Cone beam CT images of a mastectomy breast specimen are used to demonstrate the feasibility of using this technique for removal of metal object artifacts. Preliminary results have demonstrated that metal objects artifacts in 3D images were reduced and the image quality were improved.
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T. Wang, Y. Shen, Y. Zhong, C.-J. Lai, J. Wang, and C. C. Shaw "A sinogram based technique for image correction and removal of metal clip artifacts in cone beam breast CT", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332S (19 March 2014); https://doi.org/10.1117/12.2043927
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KEYWORDS
Metals
Breast
Image segmentation
3D image processing
Image quality
Reconstruction algorithms
3D image reconstruction
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