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首页> 外文期刊>Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment >Simulation and experimental studies of three-dimensional (3D) image reconstruction from insufficient sampling data based on compressed-sensing theory for potential applications to dental cone-beam CT
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Simulation and experimental studies of three-dimensional (3D) image reconstruction from insufficient sampling data based on compressed-sensing theory for potential applications to dental cone-beam CT

机译：基于压缩传感理论的采样数据不足的三维（3D）图像重建的仿真和实验研究，可能在牙束CT中的应用

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摘要

In practical applications of three-dimensional (3D) tomographic imaging, there are often challenges for image reconstruction from insufficient sampling data. In computed tomography (CT), for example, image reconstruction from sparse views and/or limited-angle ( ＜ 360°) views would enable fast scanning with reduced imaging doses to the patient In this study, we investigated and implemented a reconstruction algorithm based on the compressed-sensing (CS) theory, which exploits the sparseness of the gradient image with substantially high accuracy, for potential applications to low-dose, high-accurate dental cone-beam CT (CBCT). We performed systematic simulation works to investigate the image characteristics and also performed experimental works by applying the algorithm to a commercially-available dental CBCT system to demonstrate its effectiveness for image reconstruction in insufficient sampling problems. We successfully reconstructed CBCT images of superior accuracy from insufficient sampling data and evaluated the reconstruction quality quantitatively. Both simulation and experimental demonstrations of the CS-based reconstruction from insufficient data indicate that the CS-based algorithm can be applied directly to current dental CBCT systems for reducing the imaging doses and further improving the image quality.
机译：在三维（3D）层析成像的实际应用中，由于采样数据不足，图像重建常常面临挑战。例如，在计算机断层扫描（CT）中，从稀疏视图和/或有限角度（＜360°）视图进行图像重建将能够以减少的成像剂量对患者进行快速扫描。在这项研究中，我们研究并实现了一种基于基于压缩传感（CS）理论，该理论以相当高的精度利用了梯度图像的稀疏性，可潜在地应用于小剂量，高精度牙科锥束CT（CBCT）。我们进行了系统的仿真工作以研究图像特征，并且还通过将算法应用到商业上可用的牙科CBCT系统进行了实验工作，以证明其在采样不足的情况下对图像重建的有效性。我们成功地从不足的采样数据中重建了精度更高的CBCT图像，并定量评估了重建质量。来自不足数据的基于CS的重建的仿真和实验演示均表明，基于CS的算法可以直接应用于当前的牙科CBCT系统，以减少成像剂量并进一步提高图像质量。

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  • 作者

    U.K. Je; M.S. Lee; H.S. Cho; D.K. Hong; Y.O. Park; C.K. Park; H.M. Cho; S.I. Choi; T.H. Woo;

  • 作者单位

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

    Department of Radiological Science, iTOMO and VYSION Research Center, Yonsei University, Wonju 220-710, South Korea;

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  • 正文语种 eng
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  • 关键词

    Computed tomography; Compressed-sensing; Sparse view; Limited-angle view; Low dose;

    机译：CT检查;压缩感测;稀疏的观点;有限角度视图;低剂量;

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