Clustered targets imaged by optical tomography guided by ultrasound.
Clustered targets imaged by optical tomography guided by ultrasound.
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通过超声波引导的光学断层扫描对集群目标进行成像。
DOI：
10.1117/1.3600773
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发表时间：
2011
影响因子：
3.5
通讯作者：
Zhu,Quing
中科院分区：
文献类型：
--
作者：
Xu,Yan;Xu,Chen;Zhu,Quing
乳腺小病灶可能存在于邻近区域，在弥散光学断层扫描中难以准确分辨和量化。此外，较大的癌症往往伴随着邻近区域的簇状卫星病变，这也很难解决和量化。为了改善聚集性病变的光量化，利用模拟、模体和临床实例，研究了一种新的在联合注册超声(US)引导下的多区域重建算法。该方法根据共同注册的US提供的位置信息，将一个较大的感兴趣区域(ROI)划分为多个ROI。一般情况下，当两个小目标的距离小于2.5 cm且深度大于2.0 cm时，单ROI方法不能分辨出它们。多区域重建方法提高了分辨率和重建精度。结果表明，该方法可以分辨出两个位于2.5 cm深度、间隔大于2.0 cm的目标，重建效果比单一ROI方法提高了20%以上。当一个较大的和一个较小的两个目标位置较近时，重建的吸收质量的位置向较大的目标移动，并且较小的目标的量化受到限制。
Clustered small breast lesions may be present in the neighboring areas and are difficult to accurately resolve and quantify in diffuse optical tomography. In addition, larger cancers are often accompanied by clustered satellite lesions in the neighboring areas, which are also difficult to resolve and quantify. To improve the light quantification of clustered lesions, a new multi-zone reconstruction algorithm guided by co-registered ultrasound (US) was investigated using simulations, phantoms, and clinical examples. This method separated one larger region-of-interest (ROI) into several ROIs based on the location information provided by co-registered US. In general, the single-ROI method cannot resolve two smaller targets when their separations were less than 2.5 cm and the depth was greater than 2.0 cm. The multi-zone reconstruction method improved the resolving ability and reconstruction accuracy. As a result, two targets located at 2.5 cm depth with separation greater than 2.0 cm could be distinguished, and reconstruction improved by more than 20% as compared with that of the single-ROI method. When two targets, one larger and one smaller, were located closer to each other, the location of the reconstructed absorption mass was shifted toward the larger target and the quantification of the smaller target was limited.