Biplane correlation imaging: a feasibility study based on phantom and human data.

Biplane correlation imaging: a feasibility study based on phantom and human data.
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双平面相关成像:基于模型和人体数据的可行性研究。

DOI:
10.1007/s10278-011-9392-z
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发表时间:
2012
期刊:
Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology
影响因子:
--
通讯作者:
McAdams,HPage
McAdams,HPage
中科院分区:
--
文献类型:
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作者:
Samei,Ehsan;Majdi-Nasab,Nariman;Dobbins3rd,JamesT;McAdams,HPage

文献摘要

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本研究的目的是实施和评估双翼相关成像(BCI)技术的性能,该技术旨在减少解剖噪声的影响,提高胸片中肺结节的检出率。在11 s的时间间隔内,以0.28°角间隔沿垂直轴±10°的角度,从拟人化胸影获得71张低剂量前后位图像。在机构审查委员会批准和知情同意的情况下,从19名人类受试者中获得了类似的数据。这些数据被纳入计算机辅助检测(CAD)算法,其中通过检查检测到的信号的几何相关性来识别可疑病变,这些信号在可变解剖背景下保持相对恒定。对数据进行分析,以确定角分离的影响,以及肺结节检测的总体灵敏度和假阳性。当投影对的角分离大于5°时,效果最好。在该范围内,与单视图图像的CAD分析相比,该技术提供的假阳性报告数量减少了一个数量级。总的来说,该技术每名患者产生约1.1个假阳性,平均灵敏度为75%。结果表明,角度信息的结合可以提供在没有显着降低灵敏度的情况下减少误报的数量。研究结果表明,BCI技术作为一种具有成本效益的技术具有临床应用的潜力,可以提高对细微肺结节的检测,同时降低假阳性率。
The objective of this study was to implement and evaluate the performance of a biplane correlation imaging (BCI) technique aimed to reduce the effect of anatomic noise and improve the detection of lung nodules in chest radiographs. Seventy-one low-dose posterior–anterior images were acquired from an anthropomorphic chest phantom with 0.28° angular separations over a range of ±10° along the vertical axis within an 11 s interval. Similar data were acquired from 19 human subjects with institutional review board approval and informed consent. The data were incorporated into a computer-aided detection (CAD) algorithm in which suspect lesions were identified by examining the geometrical correlation of the detected signals that remained relatively constant against variable anatomic backgrounds. The data were analyzed to determine the effect of angular separation, and the overall sensitivity and false-positives for lung nodule detection. The best performance was achieved for angular separations of the projection pairs greater than 5°. Within that range, the technique provided an order of magnitude decrease in the number of false-positive reports when compared with CAD analysis of single-view images. Overall, the technique yielded ~1.1 false-positive per patient with an average sensitivity of 75%. The results indicated that the incorporation of angular information can offer a reduction in the number of false-positives without a notable reduction in sensitivity. The findings suggest that the BCI technique has the potential for clinical implementation as a cost-effective technique to improve the detection of subtle lung nodules with lowered rate of false-positives.