A sparse-projection computed tomography reconstruction method for in vivo application of in-line phase-contrast imaging

Wang, Liting; Li, Xueli; Wu, Mingshu; Zhang, Lu; Luo, Siwei

doi:10.1186/1475-925x-12-75

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Recently, IL-PCI experiments carried out on conventional X-ray sources have demonstrated that comparable image quality could be obtained from the benchtop imaging system (Zysk et al, 2012;Larsson et al, 2016). Moreover, the IL-PCI experiments utilizing live animal subjects have made great headway (Wang et al, 2013;Preissner et al, 2018). These progresses may pave the way for the realization of preclinical or clinical IL-PCI systems.…”

Section: Discussionmentioning

confidence: 99%

A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data

Zhao

Chen

et al. 2019

J Synchrotron Radiat

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In‐line X‐ray phase‐contrast computed tomography (IL‐PCCT) is a valuable tool for revealing the internal detailed structures in weakly absorbing objects (e.g. biological soft tissues), and has a great potential to become clinically applicable. However, the long scanning time for IL‐PCCT will result in a high radiation dose to biological samples, and thus impede the wider use of IL‐PCCT in clinical and biomedical imaging. To alleviate this problem, a new iterative CT reconstruction algorithm is presented that aims to decrease the radiation dose by reducing the projection views, while maintaining the high quality of reconstructed images. The proposed algorithm combines the adaptive‐weighted anisotropic total p‐variation (AwaTpV, 0 < p < 1) regularization technique with projection onto convex sets (POCS) strategy. Noteworthy, the AwaTpV regularization term not only contains the horizontal and vertical image gradients but also adds the diagonal image gradients in order to enforce the directional continuity in the gradient domain. To evaluate the effectiveness and ability of the proposed algorithm, experiments with a numerical phantom and synchrotron IL‐PCCT were performed, respectively. The results demonstrated that the proposed algorithm had the ability to significantly reduce the artefacts caused by insufficient data and effectively preserved the edge details under noise‐free and noisy conditions, and thus could be used as an effective approach to decrease the radiation dose for IL‐PCCT.

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Section: Discussionmentioning

confidence: 99%

A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data

Zhao

Chen

et al. 2019

J Synchrotron Radiat

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show abstract

“…100 μm or larger), a 50 kVp scan protocol with large voxel size (35 μm) and 360 projections would be adequate, resulting in 14-24-fold reduction in radiation dose levels and therefore enabling longitudinal imaging studies. Although not investigated in this study, the use of advanced reconstruction algorithms, such as iterative and statistical reconstructions, is likely to further improve image quality 16 56 57 .…”

Section: Discussionmentioning

confidence: 99%

“…The long X-ray exposure period, used in our studies to achieve adequate SNR, may present challenges in gated-CT acquisitions, and therefore, result in longer acquisition times. The use of supplementary techniques , such as forced respiratory systems associated with locking triggered imaging acquisition, multiple-period averaging and compressed sensing methods may facilitate in overcoming these hurdles 16 57 58 .…”

Section: Discussionmentioning

confidence: 99%

Ultra High-Resolution In vivo Computed Tomography Imaging of Mouse Cerebrovasculature Using a Long Circulating Blood Pool Contrast Agent

Starosolski

Villamizar

Rendon

et al. 2015

Sci Rep

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Abnormalities in the cerebrovascular system play a central role in many neurologic diseases. The on-going expansion of rodent models of human cerebrovascular diseases and the need to use these models to understand disease progression and treatment has amplified the need for reproducible non-invasive imaging methods for high-resolution visualization of the complete cerebral vasculature. In this study, we present methods for in vivo high-resolution (19 μm isotropic) computed tomography imaging of complete mouse brain vasculature. This technique enabled 3D visualization of large cerebrovascular networks, including the Circle of Willis. Blood vessels as small as 40 μm were clearly delineated. ACTA2 mutations in humans cause cerebrovascular defects, including abnormally straightened arteries and a moyamoya-like arteriopathy characterized by bilateral narrowing of the internal carotid artery and stenosis of many large arteries. In vivo imaging studies performed in a mouse model of Acta2 mutations demonstrated the utility of this method for studying vascular morphometric changes that are practically impossible to identify using current histological methods. Specifically, the technique demonstrated changes in the width of the Circle of Willis, straightening of cerebral arteries and arterial stenoses. We believe the use of imaging methods described here will contribute substantially to the study of rodent cerebrovasculature.

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“…There exist studies on the minimization of the total imaging time by reducing the number of scanning views while maintaining the imaging time unchanged at each view in PCCT. [1][2][3] In this study, we investigate a different approach to reducing the imaging time in PCCT by lowering its scanning angular range to a limited angular range (LAR) that is less than the full angular range of π. A PCCT scan over a LAR can readily be implemented in PCCT without invoking any hardware changes simply by stopping X-ray illumination and data collection beyond the LAR prescribed.…”

Section: Introductionmentioning

confidence: 99%

Image reconstruction in phase-contrast CT with shortened scans

Zhang

Chen²,

Xia³

et al. 2022

7th International Conference on Image Formation in X-Ray Computed Tomography

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Phase-contrast CT (PCCT) is an emerging tool that has found numerous applications, including applications to preclinical imaging. There remains a need for reducing the imaging time in current PCCT. One approach to reducing imaging time is to reduce the scanning angular range in PCCT. However, accurate image reconstruction from data collected over a limited angular range (LAR) is challenging because it poses a problem of accurate inversion of the PCCT imaging model that can be highly ill-conditioned in LAR scans. In this work, we conduct an investigation of accurate image reconstruction through inverting the imaging model for LAR scanning configurations in propagation-based (PB) PCCT. We have developed a directional-total-variation (DTV) algorithm for image reconstruction from knowledge of the discrete X-ray transform (DXT) over a LAR for CT imaging. Observing the mathematical similarity between the DXT in CT and the imaging model in PB-PCCT, we develop and tailor the DTV algorithm for image reconstruction from LAR data in PB-PCCT. Results of our study show that the tailored DTV algorithm can yield image reconstruction with reduced LAR artifacts that can be observed otherwise in images reconstructed by use of the existing algorithm in PB-PCCT imaging. For a given LAR, it can be divided into sub arcs of LARs. We also investigate a scanning configuration with two orthogonal arcs of LARs separated by 90 • , and observe that the two-orthogonal-arc scanning configuration may allow image reconstruction more accurately than does a single-arc scanning configuration even though the total angular ranges in both scanning configurations are identical. While boundary images can be reconstructed from data, we develop the DTV algorithm for reconstruction of the image, i.e., the refractive index distribution, instead of its boundary image from data in PB-PCCT. Once the image is obtained, the Laplacian operator can be applied to it for yielding its boundary image.

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A sparse-projection computed tomography reconstruction method for in vivo application of in-line phase-contrast imaging

Cited by 8 publications

References 21 publications

A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data

A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data

Ultra High-Resolution In vivo Computed Tomography Imaging of Mouse Cerebrovasculature Using a Long Circulating Blood Pool Contrast Agent

Image reconstruction in phase-contrast CT with shortened scans

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