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Quantitative attenuation correction for PET/CT using iterative reconstruction of low-dose dual-energy CT

机译:使用低剂量双能量CT的迭代重建PET / CT的定量衰减校正

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摘要

We present the results of using iterative reconstruction of dual-energy CT (DECT) to perform accurate CT-based attenuation correction (CTAC) for PET emission images. Current methods, such as bilinear scaling, introduce quantitative errors in the PET emission image for bone, metallic implants, and contrast agents. DECT has had limited use in the past for quantitative CT imaging due to increased patient dose and high noise levels in the decoupled CT basis-material images. Reconstruction methods that model the acquisition physics impose a significant computational burden due to the large image matrix size (typically 512 × 512). For CTAC, however, three factors make DECT feasible: (1) a smaller matrix is needed for the transmission image, which reduces the noise per pixel, (2) a smaller matrix significantly accelerates an iterative CT reconstruction algorithm, (3) the monoenergetic transmission image at 511 keV is the sum of the two decoupled basis-material images. Initial results using a 128 × 128 matrix size for a test object comprised of air, soft tissue, dense bone, and a mixture of tissue and bone demonstrate a significant reduction of bias using DECT (from 20% to ?0% for the tissue/bone mixture). FBP reconstructed images, however, have significant noise. Noise levels are reduced from ?8% to ?3% by the use of PWLS reconstruction.
机译:我们介绍了使用双能CT(DECT)的迭代重建来执行精确的CT基衰减校正(CTAC),用于PET发射图像。电流方法,例如双线性缩放,在骨骼,金属植入物和造影剂中引入PET发射图像中的定量误差。由于患者剂量增加和分离的CT基础材料图像中的患者剂量和高噪声水平增加,DECT在过去的用途有限。由于大图像矩阵尺寸(通常为512×512),模型采集物理学的重建方法强加了显着的计算负担。对于CTAC,然而,三个因素使DECT可行:需要用于传输图像,这减少了每个像素的噪声(1)更小的矩阵,(2)更小的矩阵显著加速迭代CT重建算法,(3)的单能511 KeV处的透射图像是两个分离基础材料图像的总和。使用128×128矩阵尺寸的初始结果,用于由空气,软组织,致密骨和组织和骨的混合物构成的测试对象,证明使用DECT的偏差显着降低(组织的20%至0%/骨混合物)。然而,FBP重建图像具有显着的噪音。通过使用PWLS重建,噪音水平从?8%减少到3%。

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