New method for diffusion-weighted images denoising based on patch-matching with higher-order singular value decomposition.

IF 1.4 3区 医学 Q3 INSTRUMENTS & INSTRUMENTATION
Journal of X-Ray Science and Technology Pub Date : 2025-05-01 Epub Date: 2025-02-26 DOI:10.1177/08953996241313321
Liming Yang, Yuanjun Wang
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引用次数: 0

Abstract

BackgroundDiffusion-weighted imaging (DWI) is an important technique to study brain microstructure. However, diffusion-weighted (DW) images suffer from severe low signal-to-noise ratio (SNR) problem, affecting subsequent diffusion analysis.ObjectiveThe goal of this paper is to develop advanced DWI denoising technique to effectively reduce noise while improving the accuracy and reliability of subsequent diffusion model fitting and diffusion analysis, thereby facilitating the research and analysis of brain science.MethodsWe propose a new method for denoising DW images based on patch-matching with higher-order singular value decomposition (HOSVD) by combined with the variance-stabilizing transformation technique. It starts with introducing a novel non-local mean algorithm as a prefiltering stage, and then denoises the noisy data using a local HOSVD algorithm based on the HOSVD bases learned from prefiltered images.ResultsExperiments are performed on simulation, HCP and in vivo brain DWI datasets. Results show that the proposed method significantly reduces spatially invariant and variant noise, improving the most reliable diffusion analysis compared with the different denoising methods.ConclusionsThe proposed method achieves state-of-the-art performance which can improve image quality and enable accurate diffusion analysis.

基于高阶奇异值分解的补丁匹配扩散加权图像去噪新方法。
背景弥散加权成像(DWI)是研究脑微观结构的一项重要技术。然而,扩散加权图像存在严重的低信噪比问题,影响了后续的扩散分析。目的开发先进的DWI去噪技术,在有效降低噪声的同时,提高后续扩散模型拟合和扩散分析的准确性和可靠性,从而促进脑科学研究和分析。方法提出了一种基于高阶奇异值分解(HOSVD)补丁匹配和方差稳定变换相结合的DW图像去噪方法。首先引入一种新颖的非局部均值算法作为预滤波阶段,然后基于从预滤波图像中学习到的HOSVD基,采用局部HOSVD算法对噪声数据进行去噪。结果分别在模拟、HCP和活体脑DWI数据集上进行了实验。结果表明,与其他去噪方法相比,该方法显著降低了空间不变噪声和变异噪声,提高了最可靠的扩散分析。结论该方法能够提高图像质量,实现准确的扩散分析。
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来源期刊
CiteScore
4.90
自引率
23.30%
发文量
150
审稿时长
3 months
期刊介绍: Research areas within the scope of the journal include: Interaction of x-rays with matter: x-ray phenomena, biological effects of radiation, radiation safety and optical constants X-ray sources: x-rays from synchrotrons, x-ray lasers, plasmas, and other sources, conventional or unconventional Optical elements: grazing incidence optics, multilayer mirrors, zone plates, gratings, other diffraction optics Optical instruments: interferometers, spectrometers, microscopes, telescopes, microprobes
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