Ring Artifacts Correction of Computerized Tomography Image Based on Polar-Coordinate Transform

Guoqiang, 张国强 Zhang; Hu, 周虎 Zhou; You, 和友 He; Huiqiang, 刘慧强 Liu; Yudan, 王玉丹 Wang; Yanling, 薛艳玲 Xue; Honglan, 谢红兰 Xie; Tiqiao, 肖体乔 Xiao

doi:10.3788/aos201232.0534001

Cited by 3 publications

(1 citation statement)

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“…The ring artifacts in micro-CT reconstructed images, which are mainly introduced by nonuniform responses of the detector pixel elements, greatly influence 3D reconstruction qualities and quantitative analyses. A correction algorithm based on the polar coordinate transformation has been developed [8]. Firstly, through the polar coordinate transformation, ring artifacts are transformed to line artifacts.…”

Section: Jinst 8 C08003mentioning

confidence: 99%

X-ray biomedical imaging beamline at SSRF

Xie¹,

Deng²,

Du³

et al. 2013

J. Inst.

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Since May 6, 2009, the X-ray biomedical imaging beamline at Shanghai Synchrotron Radiation Facility (SSRF) has been formally opened to users. The beamline is composed of a wiggler source with the intensity of magnetic field of 2.0 Tesla, a double crystal monochromator (DCM) cooled with liquid nitrogen, a 6-axis filter for high heat load reducing on the downstream optics such as Be window and DCM. The photon energy range for the monochromatic beam is 8–72.5keV. Three sets of digital X-ray detectors are provided to users with the pixel size range being 0.37–13μm. Several imaging methods such as micro-CT, in-line phase contrast imaging could be applied in biomedicine, material science and paleontology studies. The spatial resolution of 0.8μm and the temporal resolution of 1 ms could be realized. By the end of 2012, the beamline has provided more than 13900 hours beamtime for users, while over half of the research proposals come from biomedicine field. Nearly 2000 person-times have come and done their experiments at the beamline. More than 470 user proposals have been perfomed and more than 110 papers from users have been published. Some typical experimental results on biomedical applications will be introduced.

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Section: Jinst 8 C08003mentioning

confidence: 99%

X-ray biomedical imaging beamline at SSRF

Xie¹,

Deng²,

Du³

et al. 2013

J. Inst.

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A robust method for high-precision quantification of the complex three-dimensional vasculatures acquired by X-ray microtomography

Tan

Wang

et al. 2016

J Synchrotron Radiat

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The quantification of micro-vasculatures is important for the analysis of angiogenesis on which the detection of tumor growth or hepatic fibrosis depends. Synchrotron-based X-ray computed micro-tomography (SR-µCT) allows rapid acquisition of micro-vasculature images at micrometer-scale spatial resolution. Through skeletonization, the statistical features of the micro-vasculature can be extracted from the skeleton of the micro-vasculatures. Thinning is a widely used algorithm to produce the vascular skeleton in medical research. Existing three-dimensional thinning methods normally emphasize the preservation of topological structure rather than geometrical features in generating the skeleton of a volumetric object. This results in three problems and limits the accuracy of the quantitative results related to the geometrical structure of the vasculature. The problems include the excessively shortened length of elongated objects, eliminated branches of blood vessel tree structure, and numerous noisy spurious branches. The inaccuracy of the skeleton directly introduces errors in the quantitative analysis, especially on the parameters concerning the vascular length and the counts of vessel segments and branching points. In this paper, a robust method using a consolidated end-point constraint for thinning, which generates geometry-preserving skeletons in addition to maintaining the topology of the vasculature, is presented. The improved skeleton can be used to produce more accurate quantitative results. Experimental results from high-resolution SR-µCT images show that the end-point constraint produced by the proposed method can significantly improve the accuracy of the skeleton obtained using the existing ITK three-dimensional thinning filter. The produced skeleton has laid the groundwork for accurate quantification of the angiogenesis. This is critical for the early detection of tumors and assessing anti-angiogenesis treatments.

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Structure-aware guided filtering for a ring artifact correction in synchrotron x-ray microtomography

Zhao,

Ma,

et al. 2023

Appl. Opt.

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Synchrotron-based x-ray microtomography (S-µCT) is a powerful non-invasive three-dimensional (3D) imaging technique used for visualizing the internal structure of objects with micron-scale spatial resolution. However, in practical applications, ring artifacts often occur in S-µCT, which significantly degrades image quality and hinders interpretation. In this study, we propose a ring artifact correction method based on guided image filtering (GIF). The method first extracts structural prior from the input S-µCT images and then uses it as the guidance image to correct the ring artifacts. Finally, GIF with a self-guidance image is employed to further enhance image quality. Extensive comparisons and analyses on simulations and real data experiments demonstrate that the proposed method is capable of effectively correcting ring artifacts, accompanied by low-dose noise suppression and sparse-view artifact reduction. These findings suggest that the proposed method has great potential to promote the wider applications of S-µCT in the future.

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Ring Artifacts Correction of Computerized Tomography Image Based on Polar-Coordinate Transform

Cited by 3 publications

References 0 publications

X-ray biomedical imaging beamline at SSRF

X-ray biomedical imaging beamline at SSRF

A robust method for high-precision quantification of the complex three-dimensional vasculatures acquired by X-ray microtomography

Structure-aware guided filtering for a ring artifact correction in synchrotron x-ray microtomography

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