Hierarchical clustering method to improve transrectal ultrasound-guided diffuse optical tomography for prostate cancer imaging.
Hierarchical clustering method to improve transrectal ultrasound-guided diffuse optical tomography for prostate cancer imaging.
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DOI：
10.1016/j.acra.2013.11.003
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发表时间：
2014-02
影响因子：
4.8
通讯作者：
Liu H
中科院分区：
文献类型：
--
作者：
Kavuri VC;Liu H
在重建算法中包含解剖先验信息可以提高近红外漫射光学断层扫描 (DOT) 中重建图像的质量。然而，先前关于经直肠超声 (TRUS) 检测人类前列腺癌可能位置的文献有限，并且导致重建的 DOT 图像存在偏差。在这项工作中，我们提出了一种层次聚类方法（HCM）来提高有限先验信息的图像重建的准确性。 HCM 分三个步骤重建 DOT 图像：在重建人类前列腺的初始步骤之后，我们将前列腺区域划分为几何簇，以在更精细的簇中搜索异常。在发现的异常内继续进行几何分割以改进重建。我们使用计算机模拟和实验室模型实验演示了这种层次聚类方法。使用组合 TRUS/DOT 探针几何结构和多层模型进行计算机模拟；使用单层组织模拟模型进行实验演示。在计算机模拟中，重建了两个没有事先位置信息的隐藏吸收体，其位置恢复率为 100%，光学特性恢复率为 95%。在实验中，重建了一个没有先验位置信息的隐藏吸收体，其位置恢复率为100%，光学特性恢复率为83%。
The inclusion of anatomical prior information in reconstruction algorithms can improve the quality of reconstructed images in near-infrared diffuse optical tomography (DOT). Prior literature on possible locations of human prostate cancer from trans-rectal ultrasound (TRUS), however, is limited, and has led to biased reconstructed DOT images. In this work, we propose a hierarchical clustering method (HCM) to improve the accuracy of image reconstruction with limited prior information. HCM reconstructs DOT images in three steps: After the initial step of reconstructing the human prostate, we divide the prostate region into geometric clusters to search for anomalies in finer clusters. The geometric segmentation is continued within found anomalies for improved reconstruction. We demonstrated this hierarchical clustering method using computer simulations and laboratory phantom experiments. Computer simulations were performed using combined TRUS/DOT probe geometry with a multi-layered model; experimental demonstration was performed with a single-layer, tissue-simulating phantom. In computer simulations, two hidden absorbers without prior location information were reconstructed with a recovery rate of 100% in their locations and 95% in their optical properties. In experiments, a hidden absorber without prior location information was reconstructed with a recovery rate of 100% in its location and 83% in its optical property.