Iterative Reconstruction Technique for Reducing Body Radiation Dose at Ct: Feasibility Study Hara Et Al. Ct Iterative Reconstruction Technique Gastrointestinal Imaging Original Research

Iterative Reconstruction Technique for Reducing Body Radiation Dose at Ct: Feasibility Study Hara Et Al. Ct Iterative Reconstruction Technique Gastrointestinal Imaging Original Research
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通讯作者:
A. Hara;R. Paden;Alvin C. Silva;J. Kujak;Holly J Lawder;W. Pavlicek;Hara Ak;Paden Rg;Silva Ac;Kujak Jl;Lawder Hj;Pavlicek W
A. Hara;R. Paden;Alvin C. Silva;J. Kujak;Holly J Lawder;W. Pavlicek;Hara Ak;Paden Rg;Silva Ac;Kujak Jl;Lawder Hj;Pavlicek W
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医学2区
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作者:
A. Hara;R. Paden;Alvin C. Silva;J. Kujak;Holly J Lawder;W. Pavlicek;Hara Ak;Paden Rg;Silva Ac;Kujak Jl;Lawder Hj;Pavlicek W

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CT 剂量减少受到限制,因为如果管电流大幅减少,当前的 CT 重建算法(滤波反投影 [FBP])将无法产生一致的诊断图像。迭代重建是一种重建算法,通过各种模型来校正图像数据。尽管迭代重建对于 CT 来说是新事物,但在 PET 中广泛使用,并且在 CT 引入时就被使用了 [5]。然而,迭代重建当前的限制是计算时间长。因此,开发了一种改进的且计算速度更快的迭代重建技术,即自适应统计迭代重建,其中仅使用一个校正模型来解决图像噪声。该技术用于解决 FBP 减少 CT 剂量的主要问题之一:增加 CT 的爆炸性增长可归因于其广泛的可用性、速度和诊断优势。 2007 年的一份报告 [1] 据估计,美国每年进行超过 6870 万次 CT 检查,与 1980 年的 300 万次相比,大幅增加。虽然 CT 仅占美国放射检查总数的 11-13%,但 CT 造成的医学成像相关总辐射剂量的三分之二以上都是由 CT 造成的 [2, 3]。一篇广为人知的文章 [4] 声称,由于 CT 使用量大幅增加,美国 CT 辐射导致的癌症风险估计值已从 0.4% 上升至 1.5-2.0%,公众对辐射暴露的担忧随之升级。客观的。本研究的目的是评估低剂量人体 CT 中自适应统计迭代重建的图像噪声、低对比度分辨率、图像质量和空间分辨率。材料和方法。使用自适应统计迭代重建以美国放射学院参考值和该值的二分之一(12.5 mG​​y)扫描美国放射学院体模。对低对比度和高对比度以及均匀性模块中的测试对象进行了评估。然后对 12 名之前接受过常规剂量 CT 的患者(7 名男性,5 名女性;平均年龄 67.5 岁)进行低剂量 CT 自适应统计迭代重建测试。两名对扫描技术不知情的放射科医生评估了使用常规剂量 CT 和低剂量 CT 获得的相同患者的图像,无论是否采用自适应统计迭代重建。图像噪声、低对比度分辨率、图像质量和空间分辨率按 1(最佳)到 4(最差)的等级分级。定量噪声测量是在……上进行的。
Dose reduction with CT has been limited because the current CT reconstruction algorithm (filtered back projection [FBP]) does not produce consistently diagnostic images if tube current is substantially reduced. Iterative reconstruction is a reconstruction algorithm whereby image data are corrected with an assortment of models. Although new to CT, iterative reconstruction is widely used in PET and was used when CT was introduced [5]. A current limitation of iterative reconstruction, however, is the long computing time. Therefore , a modified and computationally faster iterative reconstruction technique, adaptive statistical iterative reconstruction, was developed in which only one corrective model is used to address image noise. This technique is used to solve one of the primary problems of dose reduction for CT with FBP: increased T he explosive growth of CT can be attributed to its wide availability , speed, and diagnostic benefits. In a 2007 report [1] it was estimated that more than 68.7 million CT examinations are performed each year in the United States, a dramatic upsurge compared with the 3 million performed in 1980. Although it accounts for only 11–13% of ra-diologic examinations performed overall in the United States, CT is responsible for more than two thirds of the total radiation dose associated with medical imaging [2, 3]. Public concern with radiation exposure escalated when a widely publicized article [4] claimed that the estimated cancer risk in the United States attributable to CT radiation has grown from 0.4% to 1.5–2.0% owing to the substantial increase in use of CT. OBJECTIVE. The purpose of this study was to evaluate the image noise, low-contrast resolution, image quality, and spatial resolution of adaptive statistical iterative reconstruction in low-dose body CT. MATERIALS AND METHODS. Adaptive statistical iterative reconstruction was used to scan the American College of Radiology phantom at the American College of Radiology reference value and at one-half that value (12.5 mGy). Test objects in low-and high-contrast and uniformity modules were evaluated. Low-dose CT with adaptive statistical iterative reconstruction was then tested on 12 patients (seven men, five women; average age, 67.5 years) who had previously undergone routine-dose CT. Two radiologists blinded to scanning technique evaluated images of the same patients obtained with routine-dose CT and low-dose CT with and without adaptive statistical iterative reconstruction. Image noise, low-contrast resolution , image quality, and spatial resolution were graded on a scale of 1 (best) to 4 (worst). Quantitative noise measurements were made on …