Berglund Johan, Johansson Henrik, Lundqvist Mats, Cederström Björn, Fredenberg Erik
Philips Healthcare , Smidesvägen 5, 171 41 Solna, Sweden.
J Med Imaging (Bellingham). 2014 Oct;1(3):031003. doi: 10.1117/1.JMI.1.3.031003. Epub 2014 Aug 28.
In x-ray imaging, contrast information content varies with photon energy. It is, therefore, possible to improve image quality by weighting photons according to energy. We have implemented and evaluated so-called energy weighting on a commercially available spectral photon-counting mammography system. The technique was evaluated using computer simulations, phantom experiments, and analysis of screening mammograms. The CNR benefit of energy weighting for a number of relevant target-background combinations measured by the three methods fell in the range of 2.2 to 5.2% when using optimal weight factors. This translates to a potential dose reduction at constant CNR in the range of 4.5 to 11%. We expect the choice of weight factor in practical implementations to be straightforward because (1) the CNR improvement was not very sensitive to weight, (2) the optimal weight was similar for all investigated target-background combinations, (3) aluminum/PMMA phantoms were found to represent clinically relevant tasks well, and (4) the optimal weight could be calculated directly from pixel values in phantom images. Reasonable agreement was found between the simulations and phantom measurements. Manual measurements on microcalcifications and automatic image analysis confirmed that the CNR improvement was detectable in energy-weighted screening mammograms.
在X射线成像中,对比度信息含量随光子能量而变化。因此,根据能量对光子进行加权有可能提高图像质量。我们在商用光谱光子计数乳腺摄影系统上实现并评估了所谓的能量加权。该技术通过计算机模拟、体模实验以及筛查乳腺X线照片分析进行评估。当使用最佳权重因子时,通过这三种方法测量的多种相关靶-背景组合的能量加权的CNR增益在2.2%至5.2%的范围内。这意味着在保持CNR不变的情况下,潜在剂量可降低4.5%至11%。我们预计在实际应用中权重因子的选择很简单,因为:(1)CNR的改善对权重不太敏感;(2)所有研究的靶-背景组合的最佳权重相似;(3)发现铝/聚甲基丙烯酸甲酯体模能很好地代表临床相关任务;(4)最佳权重可直接从体模图像中的像素值计算得出。模拟和体模测量之间发现了合理的一致性。对微钙化的手动测量和自动图像分析证实,在能量加权的筛查乳腺X线照片中可以检测到CNR的改善。