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首页> 外文期刊>Journal of nuclear medicine technology >Subcentimeter tumor lesion delineation for high-resolution 18F-FDG pet images: Optimizing correction for partial-volume effects
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Subcentimeter tumor lesion delineation for high-resolution 18F-FDG pet images: Optimizing correction for partial-volume effects

机译:用于高分辨率18F-FDG宠物图像的亚厘米级肿瘤病变描绘:优化部分体积效应的校正

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In PET, partial-volume effects cause errors in estimation of size and activity for small objects with radiopharmaceutical uptake. Recent methods for image reconstruction, compared with traditional reconstruction techniques, include algorithms for resolution recovery that result in images with higher resolution and enable quantification of size and activity of smaller objects. The purpose of this study was to evaluate a combination of 2 algorithms for volume delineation and partial-volume correction on uptake volumes smaller than 0.7 mL using image reconstruction algorithms with and without resolution recovery. Methods: Volumes of interests (VOIs) were delineated using a threshold intensity calculated as a weighted sum of tumor and background intensities. These VOIs were used for calculating correction factors by convolving a tumor mask with the system point-spread function. The methods algorithms were evaluated using a phantom constructed from 5 small different- sized balloons filled with 18F-FDG in background activity. Six different backgrounds were used. Data were acquired using a PET/CT scanner, and the images were reconstructed using 2 iterative algorithms, one of which used a resolution recovery algorithm. Results: For the images reconstructed using the resolution recovery algorithm, the method for volume delineation resulted in VOI sizes that were correct within 1 SD for all balloons of a volume of 0.35 mL (equivalent diameter, 8.8 mm) and larger, in all backgrounds. For the images reconstructed without resolution recovery, the VOI sizes were background-dependent and generally less accurate. Correct volume delineations generally led to accurate activity estimates. Conclusion: The algorithms tested on the phantom developed for this study could, for this PET camera and these reconstruction algorithms, be used for accurate volume delineation and activity quantification of lesions 0.35 mL and larger.
机译:在PET中,部分体积效应会导致放射性药物吸收小物体的尺寸和活性估算出现误差。与传统的重建技术相比,最​​新的图像重建方法包括用于分辨率恢复的算法,该算法可产生具有更高分辨率的图像,并能够量化较小对象的大小和活动。这项研究的目的是评估使用图像重建算法(带或不带分辨率恢复)对体积小于0.7 mL的摄取体积进行体积描绘和部分体积校正的两种算法的组合。方法:使用阈值强度(肿瘤和背景强度的加权总和)来确定兴趣体积(VOI)。这些VOI通过将肿瘤遮罩与系统点扩展函数进行卷积来计算校正因子。该方法的算法是使用由5个充满18F-FDG的不同大小的小气球构成的模型进行背景评估的,评估了模型。使用了六种不同的背景。使用PET / CT扫描仪获取数据,并使用2种迭代算法重建图像,其中一种使用分辨率恢复算法。结果:对于使用分辨率恢复算法重建的图像,体积描绘方法导致在所有背景下,体积为0.35 mL(等效直径,8.8 mm)及更大的所有气球的VOI大小在1 SD内正确。对于在没有分辨率恢复的情况下重建的图像,VOI大小取决于背景且通常精度较低。正确的体积描述通常会导致准确的活动估算。结论:针对该研究开发的在幻像上测试的算法,对于该PET相机和这些重建算法,可用于精确描述0.35 mL及更大病变的体积轮廓和活性定量。

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