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马肌腱的超声 B 扫描图像模拟、分割和分析。

Ultrasound B-scan image simulation, segmentation, and analysis of the equine tendon.

机构信息

Laboratoire de Recherche en Imagerie et Orthopédic, University of Montreal Hospital (CRCHUM), Montréal, Québec H2L 2W5, Canada.

出版信息

Med Phys. 2010 Mar;37(3):1038-46. doi: 10.1118/1.3292633.

Abstract

PURPOSE

The hypothesis is that an imaging technique based on decompression and segmentation of B-scan images with morphological operators can provide a measurement of the integrity of equine tendons.

METHODS

Two complementary approaches were used: (i) Simulation of B-scan images to better understand the relationship between image properties and their underlying biological structural contents and (ii) extraction and quantification from B-scan images of tendon structures identified in step (i) to diagnose the status of the superficial digital flexor tendon (SDFT) by using the proposed imaging technique.

RESULTS

The simulation results revealed that the interfascicular spaces surrounding fiber fascicle bundles were the source of ultrasound reflection and scattering. By extracting these fascicle bundles with the proposed imaging technique, quantitative results from clinical B-scan images of eight normal and five injured SDFTs revealed significant differences in fiber bundle number and areas: mean values were 50 (+/- 11) and 1.33(+/- 0.36) mm2 for the normal SDFT data set. Different values were observed for injured SDFTs where the intact mean fiber bundle number decreased to 40 (+/- 7) (p = 0.016); inversely, mean fiber bundle areas increased to 1.83 (+/- 0.25) mm2 (p = 0.008), which indicate disruption of the thinnest interfascicular spaces and of their corresponding fiber fascicle bundles where lesions occurred.

CONCLUSIONS

To conclude, this technique may provide a tool for the rapid assessment and characterization of tendon structures to enable clinical identification of the integrity of the SDFT.

摘要

目的

该假说假设一种基于形态学算子对 B 扫描图像进行解压和分割的成像技术,可以提供马肌腱完整性的测量。

方法

使用了两种互补的方法:(i)模拟 B 扫描图像,以更好地理解图像属性与其潜在的生物学结构内容之间的关系;(ii)从步骤(i)中识别的肌腱结构的 B 扫描图像中提取和量化,以使用提出的成像技术诊断浅表屈肌腱(SDFT)的状态。

结果

模拟结果表明,纤维束束周围的束间空间是超声反射和散射的来源。通过使用所提出的成像技术提取这些束束,对 8 个正常和 5 个受伤 SDFT 的临床 B 扫描图像的定量结果表明,纤维束数量和面积存在显著差异:正常 SDFT 数据集的平均值分别为 50(+/-11)和 1.33(+/-0.36)mm2。对于受伤的 SDFT,观察到不同的值,完整的平均纤维束数量减少到 40(+/-7)(p=0.016);相反,平均纤维束面积增加到 1.83(+/-0.25)mm2(p=0.008),这表明最薄的束间空间及其对应的纤维束束发生了中断,发生了病变。

结论

总之,该技术可为快速评估和描述肌腱结构提供一种工具,从而能够在临床上识别 SDFT 的完整性。

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