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通过附加光谱过滤改善双源CT的双能材料鉴别

Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration.

作者信息

Primak A N, Ramirez Giraldo J C, Liu X, Yu L, McCollough C H

机构信息

Department of Radiology, Mayo Clinic, Rochester, Minnesota 55905, USA.

出版信息

Med Phys. 2009 Apr;36(4):1359-69. doi: 10.1118/1.3083567.

Abstract

The use of additional spectral filtration for dual-energy (DE) imaging using a dual-source CT (DSCT) system was investigated and its effect on the material-specific DE(ratio) was evaluated for several clinically relevant materials. The x-ray spectra, data acquisition, and reconstruction processes for a DSCT system (Siemens Definition) were simulated using information provided by the system manufacturer, resulting in virtual DE images. The factory-installed filtration for the 80 kV spectrum was left unchanged to avoid any further reductions in tube output, and only the filtration for the high-energy spectrum was modified. Only practical single-element filter materials within the atomic number range of 40 < or = Z < or = 83 were evaluated, with the aim of maximizing the separation between the two spectra, while maintaining similar noise levels for high- and low-energy images acquired at the same tube current. The differences between mean energies and the ratio of the 140 and 80 kV detector signals, each integrated below 80 keV, were evaluated. The simulations were performed for three attenuation scenarios: Head, body, and large body. The large body scenario was evaluated for the DE acquisition mode using the 100 and 140 kV spectra. The DE(ratio) for calcium hydroxyapatite (simulating bone or calcifications), iodine, and iron were determined for CT images simulated using the modified and factory-installed filtration. Several filter materials were found to perform well at proper thicknesses, with tin being a good practical choice. When image noise was matched between the low- and high-energy images, the spectral difference in mean absorbed energy using tin was increased from 25.7 to 42.7 keV (head), from 28.6 to 44.1 keV (body), and from 20.2 to 30.2 keV (large body). The overlap of the signal spectra for energies below 80 keV was reduced from 78% to 31% (head), from 93% to 27% (body), and from 106% to 79% (large body). The DE(ratio) for the body attenuation scenario increased from 1.45 to 1.91 (calcium), from 1.84 to 3.39 (iodine), and from 1.73 to 2.93 (iron) with the additional tin filtration compared to the factory filtration. This use of additional filtration for one of the x-ray tubes used in dual-source DECT dramatically increased the difference between material-specific DE ratios, e.g., from 0.39 to 1.48 for calcium and iodine or from 0.28 to 1.02 for calcium and iron. Because the ability to discriminate between different materials in DE imaging depends primarily on the differences in DE ratios, this increase is expected to improve the performance of any material-specific DECT imaging task. Furthermore, for the large patient size and in conjunction with a 100/140 kV acquisition, the use of additional filtration decreased noise in the low-energy images and increased contrast in the DE image relative to that obtained with 80/140 kV and no additional filtration.

摘要

研究了在双源CT(DSCT)系统中使用附加光谱过滤进行双能(DE)成像的情况,并针对几种临床相关材料评估了其对特定材料DE(比值)的影响。利用系统制造商提供的信息对DSCT系统(西门子Definition)的X射线光谱、数据采集和重建过程进行了模拟,从而生成虚拟DE图像。80 kV光谱的工厂安装过滤保持不变,以避免管输出进一步降低,仅对高能光谱的过滤进行修改。仅评估了原子序数范围为40≤Z≤83内的实用单元素过滤材料,目的是在保持相同管电流下采集的高能和低能图像具有相似噪声水平的同时,最大程度地分离两个光谱。评估了平均能量之间的差异以及140和80 kV探测器信号的比值(均在80 keV以下积分)。针对三种衰减情况进行了模拟:头部、身体和大体部。针对使用100和140 kV光谱的DE采集模式评估了大体部情况。对于使用修改后的过滤和工厂安装的过滤模拟的CT图像,确定了羟基磷灰石(模拟骨骼或钙化)、碘和铁的DE(比值)。发现几种过滤材料在适当厚度下表现良好,锡是一个不错的实用选择。当低能和高能图像之间的图像噪声匹配时,使用锡时平均吸收能量的光谱差异在头部从25.7 keV增加到42.7 keV,在身体从28.6 keV增加到44.1 keV,在大体部从20.2 keV增加到30.2 keV。80 keV以下能量的信号光谱重叠在头部从78%降低到31%,在身体从93%降低到27%,在大体部从106%降低到79%。与工厂过滤相比,附加锡过滤后身体衰减情况下的DE(比值)在钙方面从1.45增加到1.91,在碘方面从1.84增加到3.39,在铁方面从1.73增加到2.93。在双源DECT中对其中一个X射线管使用附加过滤极大地增加了特定材料DE比值之间的差异,例如钙和碘的差异从0.39增加到1.48,或钙和铁的差异从0.28增加到1.02。由于DE成像中区分不同材料的能力主要取决于DE比值的差异,预计这种增加将改善任何特定材料DECT成像任务的性能。此外,对于大体型患者并结合100/140 kV采集,使用附加过滤降低了低能图像中的噪声,并相对于80/140 kV且无附加过滤时获得的DE图像增加了对比度。

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