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Edge-preserving denoising for intra-operative cone beam CT in endovascular aneurysm repair

Abstract : C-arm cone-beam computed tomography (CBCT) acquisition during endovascular aneurysm repair (EVAR) is an emergent technology with more and more applications. It offers real time imaging with a stationary patient and provides 3-D information to achieve guidance of intervention. However, there is growing concern on the overall radiation doses delivered to patients all along the endovascular management due to pre-, intra-, and post-operative X-ray imaging. Manufactures may have their low dose protocols to realize reduction of radiation dose, but CBCT with a low dose protocol has too many artifacts, particularly streak artifacts, and decreased contrast-to-noise ratio (CNR). To reduce noise and artifacts, a penalized weighted least-squares (PWLS) algorithm with an edge-preserving penalty is proposed. The proposed method is evaluated by quantitative parameters including a defined signal-to-noise ratio (SNR), CNR, and modulation transfer function (MTF) on clinical CBCT. Comparisons with PWLS algorithms with isotropic, TV, Huber, anisotropic penalties demonstrate that the proposed edge-preserving penalty performs well not only on edge preservation, but also on streak artifacts suppression, which may be crucial for observing guidewire and stentgraft in EVAR.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01502239
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, July 5, 2017 - 10:27:53 AM
Last modification on : Saturday, July 6, 2019 - 1:29:30 AM
Long-term archiving on: : Friday, December 15, 2017 - 3:02:59 AM

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Yi Liu, Miguel Castro, Mathieu Lederlin, Huazhong Shu, Adrien Kaladji, et al.. Edge-preserving denoising for intra-operative cone beam CT in endovascular aneurysm repair. Computerized Medical Imaging and Graphics, Elsevier, 2017, 56, pp.49-59. ⟨10.1016/j.compmedimag.2017.01.004⟩. ⟨hal-01502239⟩

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