Determination of optimal regularization factor in Bayesian penalized likelihood reconstruction of brain PET images using [18F]FDG and [11C]PiB

Determination of optimal regularization factor in Bayesian penalized likelihood reconstruction of brain PET images using [18F]FDG and [11C]PiB
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DOI:
10.1002/mp.15593
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发表时间:
2022-03-14
期刊:
影响因子:
3.8
通讯作者:
Ishii, Kenji
Ishii, Kenji
中科院分区:
医学3区
文献类型:
--
作者:
Wagatsuma, Kei;Miwa, Kenta;Ishii, Kenji

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目的贝叶斯惩罚似然(Bayesian penalized likelihood,BPL)重建算法Q.Clear比有序子集期望最大化(ordered subset-expectation maximization,OSEM)算法具有更高的图像信噪比和更精确的定量。BPL中的重建参数(β)需要根据放射性药物示踪剂进行优化。本研究旨在确定BPL中诊断阿尔茨海默病所需的最佳β值,该最佳β值来自使用F-18-氟-2-脱氧-D-葡萄糖([F-18]FDG)和C-11-标记的Alzburg化合物B([C-11]PiB)获得的脑正电子发射断层扫描(PET)图像。方法使用Discovery PET/CT 710采集霍夫曼三维脑和圆柱体模生成的图像,并在临床条件下使用OSEM +飞行时间(TOF)和BPL + TOF(β = 20-1000)进行重建。对比度由霍夫曼3D脑体模生成的图像计算,噪声和均匀性由圆柱体模生成的图像计算。5名认知健康的对照和5名阿尔茨海默病患者使用[F-18]FDG和[C-11]PiB PET进行评估,以验证体模研究的结果。β值受体模研究结果的限制,然后由一名认证核医学医师和两名认证核医学技术人员通过对图像对比度、图像噪声、小脑稳定性和PET图像的整体图像质量的质量参数进行评分(1(差)至5(优)),目视确定最佳β值。结果BPL对比度满足日本核医学会(JSNM)≥ 55%的标准,超过OSEM的标准,[F-18]FDG和[C-11]PiB的β值分别为20-450和20-600。BPL中的图像噪声满足JSNM准则,
Purpose The Bayesian penalized likelihood (BPL) reconstruction algorithm, Q.Clear, can achieve a higher signal-to-noise ratio on images and more accurate quantitation than ordered subset-expectation maximization (OSEM). The reconstruction parameter (beta) in BPL requires optimization according to the radiopharmaceutical tracer. The present study aimed to define the optimal beta value in BPL required to diagnose Alzheimer disease from brain positron emission tomography (PET) images acquired using F-18-fluoro-2-deoxy-D-glucose ([F-18]FDG) and C-11-labeled Pittsburg compound B ([C-11]PiB). Methods Images generated from Hoffman 3D brain and cylindrical phantoms were acquired using a Discovery PET/computed tomography (CT) 710 and reconstructed using OSEM + time-of-flight (TOF) under clinical conditions and BPL + TOF (beta = 20-1000). Contrast was calculated from images generated by the Hoffman 3D brain phantom, and noise and uniformity were calculated from those generated by the cylindrical phantom. Five cognitively healthy controls and five patients with Alzheimer disease were assessed using [F-18]FDG and [C-11]PiB PET to validate the findings from the phantom study. The beta values were restricted by the findings of the phantom study, then one certified nuclear medicine physician and two certified nuclear medicine technologists visually determined optimal beta values by scoring the quality parameters of image contrast, image noise, cerebellar stability, and overall image quality of PET images from 1 (poor) to 5 (excellent). Results The contrast in BPL satisfied the Japanese Society of Nuclear Medicine (JSNM) criterion of >= 55% and exceeded that of OSEM at ranges of beta = 20-450 and 20-600 for [F-18]FDG and [C-11]PiB, respectively. The image noise in BPL satisfied the JSNM criterion of