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首页> 外文期刊>Academic radiology >Three-dimensional isotropic wavelets for post-acquisitional extraction of latent images of atherosclerotic plaque components from micro-computed tomography of human coronary arteries.
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Three-dimensional isotropic wavelets for post-acquisitional extraction of latent images of atherosclerotic plaque components from micro-computed tomography of human coronary arteries.

机译：三维各向同性小波，用于从人冠状动脉的微计算机断层扫描中采集动脉粥样硬化斑块成分的潜像。

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RATIONALE AND OBJECTIVES: The capability of wavelet transforms to separate signals into frequency bands is the basis for its use in image compression and storage, data management and transmission, and, recently, extraction of latent images of tissue components from noisy medical images. Analysis of temporal variations of radiofrequency backscatter of intravascular ultrasound with one-dimensional wavelets can detect lipid-laden plaque in coronary arteries with a sensitivity and specificity of >80%. In this study we evaluate the capability of a novel, 3-dimensional isotropic wavelet analysis to perform high resolution, non-directionally biased, statistically reliable, non-invasive discrimination between components of human coronary atherosclerotic plaques in micro-CT. MATERIALS AND METHODS: Coronary artery segments (5-15 mm) were excised at necropsy from 18 individuals with advanced coronary atherosclerosis. Specimens were imaged using a GE Locus SP ex vivo micro-CT scanner and processed for histologicalcorrelation (833 sections). The isotropic wavelet constructs were applied to the entire volume of CT data of each arterial segment to distinguish tissue textures of varying scales and intensities. Voxels were classified and plaque characterization achieved by comparing the relative magnitudes of these wavelet constituents to that of several reference plaque tissue components. RESULTS: Processing of micro-CT images via these isotropic wavelet algorithms permitted 3-D, color-coded, high resolution, digital discrimination between lumen, calcific deposits, lipid-rich deposits, and fibromuscular tissue providing detail not possible with conventional thresholding based on Hounsfield intensity units. Using the isotropic wavelets (with histology as the gold standard), lipid-rich pools approaching the size of the filter for the isotropic wavelet algorithm (0.25 mm [250 microns] in length) were identified with 81% sensitivity and 86% specificity. Calcific deposits, fibromuscular tissue, and lumen equal to or larger than the wavelet filter size were detected without error (100% sensitivity and specificity). CONCLUSION: Isotropic wavelet analysis permits high resolution, multi-dimensional identification of coronary atherosclerotic plaque components in micro-CT with sensitivity and specificity similar to that achieved with data obtained invasively (from IVUS in vivo) using one-dimensional wavelets. Further studies are necessary to test the applicability of this technology to clinical, multi-detector scanners.
机译：理由和目标：小波变换将信号分离为频带的能力是其在图像压缩和存储，数据管理和传输以及最近从嘈杂的医学图像中提取组织成分潜像的基础。利用一维小波分析血管内超声的射频反向散射的时间变化，可以检测冠状动脉中脂质含量高的斑块，其敏感性和特异性> 80％。在这项研究中，我们评估了新型3维各向同性小波分析在微型CT中执行高分辨率，无方向性偏倚，统计可靠，无创性区分人冠状动脉粥样硬化斑块成分的能力。材料与方法：尸检时从18例晚期冠状动脉粥样硬化患者中切除了冠状动脉节段（5-15毫米）。使用GE Locus SP离体微型CT扫描仪对标本成像，并进行组织学相关处理（833切片）。将各向同性小波构造应用于每个动脉节段的CT数据总量，以区分尺度和强度不同的组织纹理。通过将这些小波成分的相对大小与几个参考斑块组织成分的相对大小进行比较，对体素进行分类并实现斑块表征。结果：通过这些各向同性小波算法处理微CT图像，可以进行3-D，彩色编码，高分辨率，管腔，钙化沉积物，脂质富集的沉积物和纤维肌组织之间的数字区分，从而提供基于传统阈值处理无法实现的细节洪斯菲尔德强度单位。使用各向同性小波（以组织学为金标准），以81％的灵敏度和86％的特异性鉴定出接近于各向同性小波算法（长度为0.25 mm [250微米]）的过滤器大小的富脂质池。检测出钙化沉积物，纤维肌组织和管腔等于或大于小波滤镜的大小，没有错误（100％灵敏度和特异性）。结论：各向同性小波分析可以高分辨率，多维地识别微型CT中的冠状动脉粥样硬化斑块成分，其敏感性和特异性与使用一维小波通过侵入式（从IVUS体内获得的）数据相似。有必要进行进一步的研究以测试该技术对临床，多探测器扫描仪的适用性。

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