Design and implementation of coded aperture coherent scatter spectral imaging of cancerous and healthy breast tissue samples
Design and implementation of coded aperture coherent scatter spectral imaging of cancerous and healthy breast tissue samples
复制标题
DOI：
10.1117/1.jmi.3.1.013505
复制
发表时间：
2016-01-01
影响因子：
2.4
通讯作者：
Kapadia, Anuj J.
中科院分区：
文献类型：
--
作者：
Lakshmanan, Manu N.;Greenberg, Joel A.;Kapadia, Anuj J.
在本工作中介绍了一种用于在异质样本中区分癌性和健康乳腺组织的散射成像技术。这种技术在乳房肿瘤切除术过程中术中边缘评估有潜在的应用价值。在这项工作中，我们利用蒙特卡罗模拟和物理实验来研究肿瘤分类的成像方法的可行性。编码孔径相干散射光谱成像技术用于重建通过单位置快照获取的乳腺组织样本的三维（3-D）图像，而不需要像相干散射计算机断层扫描那样进行旋转。我们使用成像系统的蒙特卡罗模拟对癌体素分类的准确性进行定量评估；描述了编码孔径散射成像的实验实现；显示乳房组织样本的重建图像；并对三维图像进行分割，以识别样本中的癌变组织和健康组织。从蒙特卡罗模拟中，我们发现编码孔径散射成像能够重建样本图像，并识别其中癌变组织和健康组织（即纤维腺组织、脂肪组织或两者的混合）的分布，癌变体素识别的灵敏度、特异性和准确性分别为92.4%、91.9%和92.0%。从实验结果中，我们发现该技术能够识别癌组织和健康组织样本，并重建与其他小组使用x射线衍射测量的高度相关的微分相干散射横截面。编码孔径散射成像有可能提供散射图像，在每片一分钟的时间内自动区分样本内的癌变组织和健康组织。(C) 2016年中国光学仪器工程师学会（SPIE）
A scatter imaging technique for the differentiation of cancerous and healthy breast tissue in a heterogeneous sample is introduced in this work. Such a technique has potential utility in intraoperative margin assessment during lumpectomy procedures. In this work, we investigate the feasibility of the imaging method for tumor classification using Monte Carlo simulations and physical experiments. The coded aperture coherent scatter spectral imaging technique was used to reconstruct three-dimensional (3-D) images of breast tissue samples acquired through a single-position snapshot acquisition, without rotation as is required in coherent scatter computed tomography. We perform a quantitative assessment of the accuracy of the cancerous voxel classification using Monte Carlo simulations of the imaging system; describe our experimental implementation of coded aperture scatter imaging; show the reconstructed images of the breast tissue samples; and present segmentations of the 3-D images in order to identify the cancerous and healthy tissue in the samples. From the Monte Carlo simulations, we find that coded aperture scatter imaging is able to reconstruct images of the samples and identify the distribution of cancerous and healthy tissues (i.e., fibroglandular, adipose, or a mix of the two) inside them with a cancerous voxel identification sensitivity, specificity, and accuracy of 92.4%, 91.9%, and 92.0%, respectively. From the experimental results, we find that the technique is able to identify cancerous and healthy tissue samples and reconstruct differential coherent scatter cross sections that are highly correlated with those measured by other groups using x-ray diffraction. Coded aperture scatter imaging has the potential to provide scatter images that automatically differentiate cancerous and healthy tissue inside samples within a time on the order of a minute per slice. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)