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首页> 外文会议>International Conference on Biomedical Electronics and Devices >Evaluation of the Imaging Properties of a CT Scanner with the Adaptive Statistical Iterative Reconstruction Algorithm: Noise, Contrast and Spatial Resolution Properties of CT Images Reconstructed at Different Blending Levels
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Evaluation of the Imaging Properties of a CT Scanner with the Adaptive Statistical Iterative Reconstruction Algorithm: Noise, Contrast and Spatial Resolution Properties of CT Images Reconstructed at Different Blending Levels

机译：评估CT扫描仪与自适应统计迭代重建算法的成像特性：在不同混合级别重建CT图像的噪声，对比度和空间分辨率属性

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摘要

X-ray Computed Tomography (CT) is an essential imaging technique for different diagnostic and therapeutic tasks. However, ionizing radiation from CT scanners represents the largest source of medical exposure for the population of industrialized countries. In order to reduce CT dose during patient examination, iterative reconstruction algorithms have been developed to help existing dose reduction methods. In this paper, we studied the image quality performance of a 64-slice CT scanner (Optima CT660, GE Healthcare, Waukesha, WI, USA) that implements both the conventional filtered back-projection (FBP) and the Adaptive Statistical Iterative Reconstruction (ASIR, GE Healthcare, Waukesha, WI, USA) algorithm. In order to compare the performance of these two reconstruction technologies, CT images of the Catphan 504 phantom were reconstructed using both conventional FBP and ASIR with different percentages of reconstruction from 20% to 100%. Noise level, noise power spectrum (NPS), contrast-to-noise ratio (CNR) and modulation transfer function (MTF) were estimated for different values of the main radiation exposure parameters (i.e. mAs, kVp, pitch and slice thickness) and contrast objects. We found that, as compared to conventional FBP, noise/CNR decreases/increases non-linearly up to 50%/100% when increasing the ASIR blending level of reconstruction. Furthermore, ASIR modifies the NPS curve shape (i.e. the noise texture). The MTF for ASIR-reconstructed images depended on both tube load and contrast level, whereas MTF of FBP-reconstructed images did not. For lower tube load and contrast level, ASIR offered lower performance as compared to conventional FBP in terms of reduced spatial resolution and MTF decreased with increasing ASIR blending level of reconstruction.
机译：X射线计算机断层扫描（CT）是针对不同诊断和治疗任务的基本成像技术。然而，来自CT扫描仪的电离辐射代表了工业化国家群体的最大医疗暴露源。为了减少患者检查期间CT剂量，已经开发了迭代重建算法以帮助现有剂量减少方法。在本文中，我们研究了64片CT扫描仪的图像质量性能（Optima CT660，GE Healthcare，Waukesha，Wi，USA），它实现了传统的过滤的背投（FBP）和自适应统计迭代重建（ASIR ，GE Healthcare，Waukesha，Wi，USA）算法。为了比较这两个重建技术的性能，使用常规的FBP和ASIR重建CATPHAN 504幻影的CT图像，其重建不同的重建百分比20％至100％。估计噪声水平，噪声功率谱（NPS），对比度 - 噪声比（CNR）和调制传递函数（MTF）的主要辐射曝光参数（即MAS，KVP，俯仰和切片厚度）和对比度对象。我们发现，与传统的FBP相比，当增加重建的ASIR混合水平时，噪声/ CNR在增加时，噪声/ CNR降低/增加到50％/ 100％。此外，ASIR修改了NPS曲线形状（即噪声纹理）。用于ASIR重建的图像的MTF依赖于管道载荷和对比度等级，而FBP重建图像的MTF没有。对于较低管载荷和对比度，ASIR在减少空间分辨率下与传统的FBP相比，随着传统的空间分辨率和MTF随着重建的增加水平的增加而降低。

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