Improving three-dimensional mechanical imaging of breast lesions with principal component analysis.
Improving three-dimensional mechanical imaging of breast lesions with principal component analysis.
复制标题
通过主成分分析改善乳腺病变的三维机械成像。
DOI：
10.1002/mp.12372
复制
发表时间：
2017
期刊：
影响因子：
3.8
通讯作者：
Oberai,AssadA
中科院分区：
文献类型：
--
作者：
Tyagi,Mohit;Wang,Yuqi;Hall,TimothyJ;Barbone,PaulE;Oberai,AssadA
目的弹性成像技术已成为检测和诊断包括乳腺癌在内的多种疾病的一种新工具。到目前为止，大多数弹性成像的临床应用都是利用二维应变图像。本文的目的是提出一种新的准静态弹性成像技术，以获得三维剪切弹性模量图像。方法使用自动乳腺体积扫描仪采集乳房受到轻微压缩时的超声图像。连续图像之间的互相关用来确定组织内的移位。通过主成分分析，得到了除压缩运动外的所有位移场。利用该位移场通过求解一个三维弹性反问题来推断剪切模量场的空间分布。结果利用上述技术生成了两个对象的乳腺良性病变的三维剪切模量图。研究发现，利用主成分去噪后的位移数据生成的图像能更清晰地显示病变。结论我们提出了利用准静态弹性成像技术进行剪切模量值三维成像的实验和算法技术。这项工作证明了这种方法的可行性，并为其他更具信息量的力学参数的图像奠定了基础。
PurposeElastography has emerged as a new tool for detecting and diagnosing many types of diseases including breast cancer. To date, most clinical applications of elastography have utilized two‐dimensional strain images. The goal of this paper is to present a new quasi‐static elastography technique that yields shear modulus images in three dimensions.MethodsAn automated breast volume scanner was used to acquire ultrasound images of the breast as it was gently compressed. Cross‐correlation between successive images was used to determine the displacement within the tissue. The resulting displacement field was filtered of all but compressive motion through principal component analysis. This displacement field was used to infer spatial distribution of shear modulus by solving a 3Delastic inverse problem.ResultsThree dimensional shear modulus images of benign breast lesions for two subjects were generated using the techniques described above. It was found that the lesions were visualized more clearly in images generated using the displacement data de‐noised through the use of principal components.ConclusionsWe have presented experimental and algorithmic techniques that lead to three‐dimensional imaging of shear modulus using quasi‐static elastography. This work demonstrates feasibility of this approach, and lays the foundation for images of other, more informative, mechanical parameters.
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