An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention
Abstract Background Cone-beam computed tomography (CBCT) acquisition during endovascular aneurysm repair is an emergent technology with more and more applications. It may provide 3-D information to achieve guidance of intervention. However, there is growing concern on the overall radiation doses del...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2018-09-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12880-018-0269-1 |
| _version_ | 1811223383917985792 |
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| author | Yi Liu Miguel Castro Mathieu Lederlin Adrien Kaladji Pascal Haigron |
| author_facet | Yi Liu Miguel Castro Mathieu Lederlin Adrien Kaladji Pascal Haigron |
| author_sort | Yi Liu |
| collection | DOAJ |
| description | Abstract Background Cone-beam computed tomography (CBCT) acquisition during endovascular aneurysm repair is an emergent technology with more and more applications. It may provide 3-D information to achieve guidance of intervention. However, there is growing concern on the overall radiation doses delivered to patients, thus a low dose protocol is called when scanning. But CBCT images with a low dose protocol are degraded, resulting in streak artifacts and decreased contrast-to-noise ratio (CNR). In this paper, a Laplacian pyramid-based nonlinear diffusion is proposed to improve the quality of CBCT images. Method We first transform the CBCT image into its pyramid domain, then a modified nonlinear diffusion is performed in each level to remove noise across edges while keeping edges as far as possible. The improved diffusion coefficient is a function of the gradient magnitude image; the threshold in the modified diffusion function is estimated using the median absolute deviation (MAD) estimator; the time step is automatically determined by iterative image changes and the iteration is stopped according to mean absolute error between two adjacent diffusions. Finally, we reconstruct the Laplacian pyramid using the processed pyramid images in each level. Result Results from simulation show that the filtered image from the proposed method has the highest peak signal-noise ratio (81.92), the highest correlation coefficient (99.77%) and the lowest mean square error (27.61), compared with the other four methods. In addition, it has highest contrast-to-noise ratio and sharpness in ROIs. Results from real CBCT images show that the proposed method shows better smoothness in homogeneous regions meanwhile keeps bony structures clear. Conclusion Simulation and patient studies show that the proposed method has a good tradeoff between noise/artifacts suppression and edge preservation. |
| first_indexed | 2024-04-12T08:32:05Z |
| format | Article |
| id | doaj.art-5c3abba010614017b9f20e1e59f88d48 |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-04-12T08:32:05Z |
| publishDate | 2018-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-5c3abba010614017b9f20e1e59f88d482022-12-22T03:40:12ZengBMCBMC Medical Imaging1471-23422018-09-0118111410.1186/s12880-018-0269-1An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular interventionYi Liu0Miguel Castro1Mathieu Lederlin2Adrien Kaladji3Pascal Haigron4Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, North University of ChinaINSERM, U1099INSERM, U1099INSERM, U1099INSERM, U1099Abstract Background Cone-beam computed tomography (CBCT) acquisition during endovascular aneurysm repair is an emergent technology with more and more applications. It may provide 3-D information to achieve guidance of intervention. However, there is growing concern on the overall radiation doses delivered to patients, thus a low dose protocol is called when scanning. But CBCT images with a low dose protocol are degraded, resulting in streak artifacts and decreased contrast-to-noise ratio (CNR). In this paper, a Laplacian pyramid-based nonlinear diffusion is proposed to improve the quality of CBCT images. Method We first transform the CBCT image into its pyramid domain, then a modified nonlinear diffusion is performed in each level to remove noise across edges while keeping edges as far as possible. The improved diffusion coefficient is a function of the gradient magnitude image; the threshold in the modified diffusion function is estimated using the median absolute deviation (MAD) estimator; the time step is automatically determined by iterative image changes and the iteration is stopped according to mean absolute error between two adjacent diffusions. Finally, we reconstruct the Laplacian pyramid using the processed pyramid images in each level. Result Results from simulation show that the filtered image from the proposed method has the highest peak signal-noise ratio (81.92), the highest correlation coefficient (99.77%) and the lowest mean square error (27.61), compared with the other four methods. In addition, it has highest contrast-to-noise ratio and sharpness in ROIs. Results from real CBCT images show that the proposed method shows better smoothness in homogeneous regions meanwhile keeps bony structures clear. Conclusion Simulation and patient studies show that the proposed method has a good tradeoff between noise/artifacts suppression and edge preservation.http://link.springer.com/article/10.1186/s12880-018-0269-1Nonlinear diffusionEdge-preserving smoothingLaplacian pyramidLow-dose CBCT |
| spellingShingle | Yi Liu Miguel Castro Mathieu Lederlin Adrien Kaladji Pascal Haigron An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention BMC Medical Imaging Nonlinear diffusion Edge-preserving smoothing Laplacian pyramid Low-dose CBCT |
| title | An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention |
| title_full | An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention |
| title_fullStr | An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention |
| title_full_unstemmed | An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention |
| title_short | An improved nonlinear diffusion in Laplacian pyramid domain for cone beam CT denoising during image-guided vascular intervention |
| title_sort | improved nonlinear diffusion in laplacian pyramid domain for cone beam ct denoising during image guided vascular intervention |
| topic | Nonlinear diffusion Edge-preserving smoothing Laplacian pyramid Low-dose CBCT |
| url | http://link.springer.com/article/10.1186/s12880-018-0269-1 |
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