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A comparison of lesion detection accuracy using digital mammography and flat-panel CT breast imaging

机译:使用数字乳腺摄影和平板CT乳腺造影检查病变的准确性比较

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Although conventional mammography is currently the best modality to detect early breast cancer, it is limited in that therecorded image represents the superposition of a 3D object onto a 2D plane. As an alternative, cone-beam CT breastimaging with a CsI based flat-panel imager (CTBI) has been proposed with the ability to provide 3D visualization ofbreast tissue. To investigate possible improvements in lesion detection accuracy using CTBI over digital mammography(DM), a computer simulation study was conducted using simulated lesions embedded into a structured 3D breast model.The computer simulation realistically modeled x-ray transport through a breast model, as well as the signal and noisepropagation through the flat-panel imager. Polyenergetic x-ray spectra of W/Al 50 kVp for CTBI and Mo/Mo 28 kVpfor DM were modeled. For the CTBI simulation, the intensity of the x-ray spectra for each projection view wasdetermined so as to provide a total mean glandular dose (MGD) of 4 mGy, which is approximately equivalent to thatgiven in a conventional two-view screening mammography study. Since only one DM view was investigated here, theintensity of the DM x-ray spectra was defined to give 2 mGy MGD. Irregular lesions were simulated by using astochastic growth algorithm providing lesions with an effective diameter of 5 mm. Breast tissue was simulated bygenerating an ensemble of backgrounds with a power law spectrum. To evaluate lesion detection accuracy, a receiveroperating characteristic (ROC) study was performed with 4 observers reading an ensemble of images for each case. Theaverage area under the ROC curves (Az) was 0.94 for CTBI, and 0.81 for DM. Results indicate that a 5 mm lesionembedded in a structured breast phantom can be detected by CT breast imaging with statistically significant higherconfidence than with digital mammography.
机译:尽管常规的乳房X线照相术目前是检测早期乳腺癌的最佳方式,但是其局限性在于所记录的图像表示将3D对象叠加到2D平面上。作为替代方案,已经提出了具有基于CsI的平板成像仪(CTBI)的锥束CT乳腺成像技术,能够提供乳房组织的3D可视化。为了研究使用CTBI优于数字乳腺摄影(DM)进行病变检测的准确性,使用嵌入在结构化3D乳房模型中的模拟病变进行了计算机模拟研究,该计算机模拟还模拟了通过乳房模型的X射线传输作为信号和噪声在平板成像器中的传播。对CTBI的W / Al 50 kVp和DM的Mo / Mo 28 kVp的多能X射线谱进行了建模。对于CTBI模拟,确定每个投影视图的X射线光谱的强度,以提供4 mGy的总平均腺体剂量(MGD),这大约等于常规两视图筛查乳房X线照片研究中给出的总剂量。由于此处仅研究了一个DM视图,因此将DM X射线光谱的强度定义为2 mGy MGD。通过使用随机生长算法模拟不规则病变,可提供有效直径为5 mm的病变。通过生成具有幂律谱的背景集合来模拟乳房组织。为了评估病变检测的准确性,在每个案例中由4位观察者读取一组图像进行了接收者操作特征(ROC)研究。 ROBI曲线下的平均面积(Az)对于CTBI为0.94,对于DM为0.81。结果表明,通过CT乳腺成像可以发现5mm病变包埋在结构化的乳腺幻像中,与数字乳腺X线摄影术相比,具有统计学上更高的置信度。

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