Heine John J, Thomas Jerry A
Cancer Prevention & Control Department, Moffitt Cancer Center, Tampa, Florida, USA.
Biomed Eng Online. 2008 Mar 28;7:13. doi: 10.1186/1475-925X-7-13.
Breast density is a significant breast cancer risk factor. Currently, there is no standard method for measuring this important factor. Work presented here represents an essential component of an ongoing project that seeks to determine the appropriate method for calibrating (standardizing) mammography image data to account for the x-ray image acquisition influences. Longer term goals of this project are to make accurate breast density measurements in support of risk studies.
Logarithmic response calibration curves and effective x-ray attenuation coefficients were measured from two full field digital mammography (FFDM) systems with breast tissue equivalent phantom imaging and compared. Normalization methods were studied to assess the possibility of reducing the amount of calibration data collection. The percent glandular calibration map functional form was investigated. Spatial variations in the calibration data were used to assess the uncertainty in the calibration application by applying error propagation analyses.
Logarithmic response curves are well approximated as linear. Measured effective x-ray attenuation coefficients are characteristic quantities independent of the imaging system and are in agreement with those predicted numerically. Calibration data collection can be reduced by applying a simple normalization technique. The calibration map is well approximated as linear. Intrasystem calibration variation was on the order of four percent, which was approximately half of the intersystem variation.
FFDM systems provide a quantitative output, and the calibration quantities presented here may be used for data acquired on similar FFDM systems.
乳腺密度是一个重要的乳腺癌风险因素。目前,尚无测量这一重要因素的标准方法。本文介绍的工作是一个正在进行的项目的重要组成部分,该项目旨在确定校准(标准化)乳腺钼靶图像数据以考虑X射线图像采集影响的合适方法。该项目的长期目标是进行准确的乳腺密度测量以支持风险研究。
通过乳腺组织等效体模成像,从两个全视野数字乳腺钼靶(FFDM)系统测量对数响应校准曲线和有效X射线衰减系数,并进行比较。研究归一化方法以评估减少校准数据收集量的可能性。研究了腺体量校准图的函数形式。通过应用误差传播分析,利用校准数据的空间变化来评估校准应用中的不确定性。
对数响应曲线很好地近似为线性。测得的有效X射线衰减系数是与成像系统无关的特征量,并且与数值预测的结果一致。应用简单的归一化技术可以减少校准数据的收集。校准图很好地近似为线性。系统内校准变化约为4%,约为系统间变化的一半。
FFDM系统提供定量输出,本文给出的校准量可用于在类似FFDM系统上采集的数据。