Comparison of planar vs. SPECT images for lesion detectability

E. S. Sørensen, G. L. Zeng, B. Holt, K. Scott, S. Karen, T. Ovard
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引用次数: 1

Abstract

This research used computer simulation along with human observer studies to evaluate SPECT and planar imaging for lesion detection. The research initially focused on a simple computer simulated phantom consisting of a large sphere with a lesion placed inside at various depths. A constant lesion to background ratio of 8 to 1 was maintained throughout the trials. Two noise levels were simulated by varying the mean value of the sphere and lesion. Both planar and SPECT images were generated simulating a clinical scan time of 30 minutes. Results showed SPECT images consistently had higher contrast but also higher noise values than planar images. When the lesion was located near the center of the sphere the contrast-to-noise ratio was consistently higher in SPECT images. Research using a realistic computer model of the human torso along with realistic image acquisition and reconstruction techniques was then carried out. Planar images were generated with modeling attenuation, scatter and geometric point response. SPECT images were projected and then reconstructed with an OSEM algorithm accounting for attenuation, the scatter and the geometric point response of the collimator.
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平面图像与SPECT图像病变可检测性的比较
本研究采用计算机模拟和人类观察者研究来评价SPECT和平面成像在病变检测中的应用。这项研究最初集中在一个简单的计算机模拟幻影上,这个幻影由一个大球体组成,球体内部在不同的深度处有一个病变。在整个试验过程中,病变与背景的比率一直保持在8比1。通过改变球体和病变的平均值来模拟两种噪声水平。平面图像和SPECT图像模拟临床扫描时间为30分钟。结果表明,SPECT图像具有更高的对比度和更高的噪声值。当病灶位于球体中心附近时,SPECT图像的对比噪声比始终较高。利用人体躯干的逼真计算机模型以及逼真的图像采集和重建技术进行了研究。利用建模衰减、散射和几何点响应生成平面图像。利用准直器的衰减、散射和几何点响应,利用OSEM算法对SPECT图像进行投影重建。
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