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Image processing of head CT images using Neuro Best Contrast (NBC) and lesion detection performance

机译:使用Neuro Best Contrast(NBC)和病变检测性能对头部CT图像进行图像处理

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Purpose: The purpose of this study was to objectively compare lesion detection performance of head CT images reconstructed using filtered back projection (FBP) algorithms with those reconstructed using NBC. Method: The observer study was conducted using the 2-AFC methodology. An AFC experiment consists of 128 observer choices and permits the computation of the intensity needed to achieve 92% correct (I_(92%)). High values of I_(92%) corresponds to a poor level of detection performance, and vice versa. Head CT images were acquired at an x-ray tube voltage of 120 kVp with a CTDI_(vol) value of 75 mGy in a helical scan. Nine randomly selected normal images from three patients and at three anatomical head locations were reconstructed using filtered back projection (FBP) and neuro-best-contrast (NBC) processing. Circular lesions were generated by projecting spheres onto the image plane, followed by blurring function, with lesion sizes of 2.8 mm, 6.5 mm and 9.8 mm used in these experiments. Four readers were used, with 18 experiments performed by each observer (2 processing techniques x 3 lesion sizes x 3 repeats). The experimental order of the 18 experiments was randomized to eliminate learning curve and/or observer fatigue. The ratio R of the I_(92%) value for NBC to the corresponding I_(92%) value for FBP was calculated for each observer and each lesion size. Values of R greater than unity indicate that NBC is inferior to FBP, and vice versa. Results: Analysis of data from each observer showed that a total of four data points had R less than unity, and eight data points were greater than unity. Eleven of the twelve individual observer R values with one standard deviation of unity. When data for the four observers were pooled, the resultant average R values were 0.98 ± 0.38, 0.96 ± 0.33 and 1.15 ± 0.45, for the 2.8 mm, 6.5 mm and 9.8 mm lesions respectively. The overall average R for all three lesions sizes was 1.03 ± 0.67. Conclusion: Our AFC investigation has shown no evidence that use of Neuro Best Contrast to process head CT images improves detection of circular, low contrast lesions less than 10 mm.
机译:目的:本研究的目的是客观比较使用滤过背投影(FBP)算法重建的头部CT图像和使用NBC重建的头部CT图像的病变检测性能。方法:使用2-AFC方法进行观察者研究。 AFC实验包含128个观察者选择,并允许计算达到92%正确(I_(92%))所需的强度。 I_(92%)的较高值对应于较差的检测性能,反之亦然。在螺旋扫描中以120 kVp的X射线管电压和75 mGy的CTDI_(vol)值获取头部CT图像。使用滤波反投影(FBP)和神经最佳对比度(NBC)处理,从三位患者的三个解剖头位置随机抽取了九张正常图像。圆形病变是通过将球体投影到图像平面上产生的,然后是模糊功能,这些实验中使用的病变尺寸分别为2.8 mm,6.5 mm和9.8 mm。使用四个读取器,每个观察者进行18个实验(2个处理技术x 3个病变大小x 3个重复)。将18个实验的实验顺序随机化,以消除学习曲线和/或观察者疲劳。对于每个观察者和每个病变大小,计算出NBC的I_(92%)值与相应的FBP的I_(92%)值之比R。 R的值大于1表示NBC低于FBP,反之亦然。结果:每个观察者的数据分析表明,总共有四个数据点的R小于一,而八个数据点的大于一。在十二个单独的观察者R值中,有十一个具有一个标准偏差单位。汇总四个观察者的数据后,对于2.8毫米,6.5毫米和9.8毫米的病变,所得的平均R值分别为0.98±0.38、0.96±0.33和1.15±0.45。所有三种病变大小的总体平均R为1.03±0.67。结论:我们的AFC调查表明,没有证据表明使用Neuro Best Contrast处理头部CT图像可改善对小于10 mm的圆形低对比度病变的检测。

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