Kido S, Ikezoe J, Naito H, Tamura S, Kozuka T, Ito W, Shimura K, Kato H
Department of Radiology, Osaka University Medical School, Japan.
Invest Radiol. 1993 Jun;28(6):482-7.
Dual-energy subtraction radiography using computed radiography (CR) can aid in the detection of pulmonary abnormalities such as nodules, but the subtracted image requires higher x-ray exposure than usual to reduce quantum mottle. To reduce quantum mottle without increasing x-ray exposure, a new dual-energy subtraction algorithm was investigated that included an edge-adaptive smoothing process and a subtraction process. The signal-to-noise ratio and the image quality of this new subtracted image was significantly superior to that of conventional subtracted images.
Observer performance of the subtracted digital radiography in detecting simulated pulmonary nodules was compared with original CR images and conventional subtracted digital radiography of 50 patients.
A combination of an original CR image and a new subtracted CR image was significantly superior to a single original CR image or a combination of an original CR image and a conventional subtracted CR image (P < .01).
The single-exposure dual-energy subtraction method is superior to the conventional subtraction method in the detection of pulmonary nodules.
使用计算机X线摄影（CR）的双能减影X线摄影有助于检测肺部异常，如结节，但减影图像需要比平常更高的X线曝光量以减少量子斑点。为了在不增加X线曝光量的情况下减少量子斑点，研究了一种新的双能减影算法，该算法包括边缘自适应平滑处理和减法处理。这种新的减影图像的信噪比和图像质量明显优于传统减影图像。
将50例患者的减影数字X线摄影在检测模拟肺结节方面的观察者表现与原始CR图像和传统减影数字X线摄影进行比较。
原始CR图像和新的减影CR图像的组合明显优于单一原始CR图像或原始CR图像与传统减影CR图像的组合（P <.01）。
单曝光双能减影法在检测肺结节方面优于传统减影法。
