基于噪声匹配的全似然双边滤波器:在台式光子计数CBCT系统中的实验可行性。

IF 3.3 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Physica Medica-European Journal of Medical Physics Pub Date : 2025-01-17 DOI:10.1016/j.ejmp.2025.104901
Okkyun Lee, Joonbeom Kim
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引用次数: 0

摘要

目的:材料分解会在基图像及其合成的CT图像中产生大量的噪声。基于似然的双边滤波器以前被开发为有效地降低噪声的邻域滤波器。但该方法对图像对比度敏感,噪声纹理有待改进。如何优化组合滤波后的基图合成CT图像也是一个需要解决的问题。本研究通过引入总似然和噪声匹配条件来解决这些问题。方法:在台式光子计数CT (PCCT)系统中,通过以下步骤验证了该方法的实验可行性:(1)正演建模的校准过程;(2)基于最大似然(ML)的材料分解,该方法准确但存在大量噪声;(3)采用基于全似然的滤波器进行降噪;(4)使用噪声匹配条件进行CT图像合成。将该方法与传统邻域滤波器和保边正则化统计迭代重建方法进行了比较。结果:使用测试模型分析了局部噪声和基于任务的调制传递函数(TTF),发现该方法比其他方法更能保持空间分辨率,特别是在低对比度区域。在鸡腿实验中,该方法改善了去噪图像的精细结构和背景纹理,在噪声功率谱分析中表现出优异的性能。结论:该方法对PCCT降噪有效,计算效率高,有可能取代传统的迭代边缘保留正则化方法。
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Noise-matched total-likelihood-based bilateral filter: Experimental feasibility in a benchtop photon-counting CBCT system.

Purpose: Material decomposition induces substantial noise in basis images and their synthesized computed tomography (CT) images. A likelihood-based bilateral filter was previously developed as a neighborhood filter that effectively reduces noise. However, this method is sensitive to image contrast, and the noise texture needs improvement. It is also necessary to address how to optimally combine filtered basis images to synthesize CT images. This study addressed these issues by introducing total likelihood and a noise-matched condition.

Methods: The experimental feasibility of the proposed method was demonstrated in a benchtop photon-counting CT (PCCT) system using the following steps: (1) A calibration process for forward modeling, (2) maximum likelihood (ML)-based material decomposition, which is accurate but suffers from substantial noise, (3) noise reduction by applying a total-likelihood-based filter, and (4) CT image synthesis using the noise-matched condition. The proposed method was compared with conventional neighborhood filters and statistical iterative reconstruction with edge-preserving regularization.

Results: The local noise and task-based modulation transfer function (TTF) were analyzed using a test phantom, and the proposed method was found to preserve the spatial resolution better than the other methods, especially in low-contrast regions. In the chicken leg experiment, the proposed method improved the fine structures and background textures in the denoised images and exhibited superior properties in analyzing the noise power spectrum.

Conclusion: The proposed method is effective and computationally efficient for noise reduction in PCCT and can potentially replace conventional iterative edge-preserved regularization approaches.

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来源期刊
CiteScore
6.80
自引率
14.70%
发文量
493
审稿时长
78 days
期刊介绍: Physica Medica, European Journal of Medical Physics, publishing with Elsevier from 2007, provides an international forum for research and reviews on the following main topics: Medical Imaging Radiation Therapy Radiation Protection Measuring Systems and Signal Processing Education and training in Medical Physics Professional issues in Medical Physics.
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