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Iterative Energy Spectrum Deconvolution (IESD): a new technique for significantly improving the effective energy resolution of gamma camera

机译:迭代能谱反卷积(IESD):一种新技术,可显着提高伽马相机的有效能量分辨率

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Energy windows used clinically in nuclear medicine (20-30%) accept a significant proportion of Compton scattered photons to highly degrade image contrast. We developed an Iterative Energy Spectrum Deconvolution (IESD) algorithm for improving the energy resolution of gamma camera to reduce the impact of photon scatter on radionuclide images. Using only those deconvoluted energy components near the photopeak, we exclude scattered photons to form scatter corrected projections. All phantom studies reconstructed with attenuation correction and IESD correction were shown significant improved contrast as cardiac and hepatic activity separation. Contrast of presenting defect region was also significantly enhanced in the phantom and patient studies. Computational times for energy deconvolution times were within clinically acceptable norms (/spl sim/14 minutes/64 projections, 2 GHz, 100 iters). The computational requirements of this technique make it feasible for routine clinical use.
机译:临床上用于核医学的能量窗(20-30%)接受很大比例的Compton散射光子,以大大降低图像对比度。我们开发了一种迭代能谱反卷积(IESD)算法,用于提高伽马相机的能量分辨率,以减少光子散射对放射性核素图像的影响。仅使用在光峰附近的那些去卷积的能量分量,我们排除了散射的光子以形成散射校正的投影。所有通过衰减校正和IESD校正重建的体模研究均显示,随着心脏和肝脏活动的分离,对比度得到了显着改善。在体模和患者研究中,存在缺陷区域的对比度也显着增强。能量解卷积时间的计算时间在临床可接受的标准之内(/ spl sim / 14分钟/ 64个投影,2 GHz,100迭代)。该技术的计算要求使其可用于常规临床应用。

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