Endoscopic detection of cancer with lensless radioluminescence imaging and machine vision.
Endoscopic detection of cancer with lensless radioluminescence imaging and machine vision.
复制标题
使用无透镜辐射发光成像和机器视觉进行癌症内窥镜检测。
DOI：
10.1038/srep30737
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发表时间：
2016
影响因子：
4.6
通讯作者：
Pratx,Guillem
中科院分区：
文献类型：
--
作者：
Türkcan,Silvan;Naczynski,DominikJ;Nolley,Rosalie;Sasportas,LauraS;Peehl,DonnaM;Pratx,Guillem
在手术切除过程中完全切除残余肿瘤组织可改善患者结局。然而，外科医生往往难以描绘肿瘤超出其可见边界。这导致了术中检测器的发展，其可以对肿瘤内积累的放射性示踪剂进行成像，从而促进在外科手术期间去除残留的肿瘤组织。我们介绍了一种β成像系统，该系统通过CdWO4闪烁体将放射性示踪剂的β辐射转换为接近衰变原点的光子，并且不使用任何光学元件。信号通过缠绕的成像光纤传递到EMCCD芯片上。该设备的灵敏度允许对低至100 nCi的活性成像，并且该系统具有至少500 μm的分辨率，视场为4.80 × 6.51 mm。手持式beta相机的进步主要集中在硬件改进上，但我们将机器视觉应用于记录的图像以提取更多信息。我们自动分类样本区域在人类肾癌组织exvivoto肿瘤或良性组织的图像特征的基础上。机器视觉将我们的系统区分肿瘤和健康组织的能力提高了9 ± 3倍，并可应用于其他β成像探针。
Complete removal of residual tumor tissue during surgical resection improves patient outcomes. However, it is often difficult for surgeons to delineate the tumor beyond its visible boundary. This has led to the development of intraoperative detectors that can image radiotracers accumulated within tumors, thus facilitating the removal of residual tumor tissue during surgical procedures. We introduce a beta imaging system that converts the beta radiation from the radiotracer into photons close to the decay origin through a CdWO4scintillator and does not use any optical elements. The signal is relayed onto an EMCCD chip through a wound imaging fiber. The sensitivity of the device allows imaging of activity down to 100 nCi and the system has a resolution of at least 500 μm with a field of view of 4.80 × 6.51 mm. Advances in handheld beta cameras have focused on hardware improvements, but we apply machine vision to the recorded images to extract more information. We automatically classify sample regions in human renal cancer tissueex-vivointo tumor or benign tissue based on image features. Machine vision boosts the ability of our system to distinguish tumor from healthy tissue by a factor of 9 ± 3 and can be applied to other beta imaging probes.