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首页> 外文期刊>Medical image analysis >Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography.
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Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography.

机译：粪便标签CT结肠造影的CT衰减伪增强的自适应校正。

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In fecal-tagging CT colonography (ftCTC), positive-contrast tagging agents are used for opacifying residual bowel materials to facilitate reliable detection of colorectal lesions. However, tagging agents that have high radiodensity tend to artificially elevate the observed CT attenuation of nearby materials toward that of tagged materials on Hounsfield unit (HU) scale. We developed an image-based adaptive density-correction (ADC) method for minimizing such pseudo-enhancement effect in ftCTC data. After the correction, we can confidently assume that soft-tissue materials and air are represented by their standard CT attenuations, whereas higher CT attenuations indicate tagged materials. The ADC method was optimized by use of an anthropomorphic phantom filled partially with three concentrations of a tagging agent. The effect of ADC on ftCTC was assessed visually and quantitatively by comparison of the accuracy of computer-aided detection (CAD) without and with the use of the ADC method in two different types of clinical ftCTC databases: 20 laxative ftCTC cases with 24 polyps, and 23 reduced-preparation ftCTC cases with 28 polyps. Visual evaluation indicated that ADC minimizes the observed pseudo-enhancement effect. With ADC, the free-response receiver operating characteristic curves indicating CAD performance in polyp detection yielded normalized partial area-under-curve values of 0.91 and 0.80 for the two databases, respectively, with statistically significant improvement over conventional thresholding-based approaches (p<0.05). The results indicate that ADC is a useful method for reducing the pseudo-enhancement effect and for improving CAD performance in CTC.
机译：在粪便标签CT结肠造影术（ftCTC）中，使用阳性对照标签剂使残留的肠材料不透明，以方便可靠地检测结直肠病变。但是，具有高放射性密度的标记剂往往会人为地将附近材料的CT衰减人工提高到Hounsfield单位（HU）尺度上的标记材料。我们开发了一种基于图像的自适应密度校正（ADC）方法，以最小化ftCTC数据中的此类伪增强效果。校正之后，我们可以放心地假设软组织材料和空气由它们的标准CT衰减表示，而更高的CT衰减表示标记的材料。通过使用部分填充了三种浓度的标记剂的拟人化体模优化了ADC方法。通过比较两种不同类型的临床ftCTC数据库中使用和不使用ADC方法的计算机辅助检测（CAD）的准确性，以视觉和定量的方式评估ADC对ftCTC的影响：20例轻度ftCTC伴24例息肉的病例， 23例减少准备的ftCTC病例，包括28例息肉。视觉评估表明，ADC使观察到的伪增强效果最小。使用ADC，表明息肉检测中CAD性能的自由响应接收器工作特性曲线分别针对两个数据库分别产生了0.91和0.80的归一化局部曲线下面积值，与传统的基于阈值的方法相比具有统计学上的显着改善（p < 0.05）。结果表明，ADC是降低伪增强效果和改善CTC中CAD性能的有用方法。

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