Influence of different time framings, reconstruction algorithms and post-processing methods on the quantification of myocardial blood flow from 13N-NH3 PET images

IF 1.3 4区 医学 Q4 PHYSIOLOGY
Shahnaz Akil, Anna E. Székely, Fredrik Hedeer, Berit Olsson, Henrik Engblom, Cecilia Hindorf
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引用次数: 0

Abstract

Background

The aim was to investigate to what extent the quantification of myocardial blood flow (MBF) from dynamic 13N-NH3 positron emission tomography (PET) images is affected by time frame schemes, time-of-flight (ToF), reconstruction algorithms, blood pool volume of interest (VOI) locations and compartment models in patients with suspected chronic coronary syndrome.

Methods

A standard MBF value was determined from 25 patients' rest/stress 13N-NH3 PET/CT images reconstructed with ordered subset expectation maximization (OSEM), 5 s time frame for the first frames without ToF, subsequently analyzed using a basal VOI and the deGrado compartment model. MBFs calculated using 2 or 10 s for the first frames, ToF, block-sequential regularized expectation maximization (BSREM), apical or large VOI, Hutchins or Krivokapich compartment models were compared to MBFstandard in Bland–Altman plots (bias ± SD).

Results

Good agreement in global rest/stress MBF (mL/min/g) was found when changing the time frame scheme or reconstruction algorithm (MBFstandard vs. MBF2s: −0.02 ± 0.06; MBF10s: 0.01 ± 0.07; MBFBSREM: 0.01 ± 0.07), while a lower level of agreement was found when altering the other factors (MBFstandard vs. MBFToF: −0.07 ± 0.10; MBFapical VOI: −0.27 ± 0.25; MBFlarge VOI: −0.11 ± 0.10; MBFHutchins: −0.08 ± 0.10; MBFKrivokapich: −0.47 ± 0.50).

Conclusions

Quantification of MBF from 13N-NH3 PET images is more affected by choice of compartment models, ToF and blood pool VOIs than by different time frame schemes and reconstruction algorithms.

Abstract Image

不同时间框架、重建算法和后处理方法对13N-NH3 PET图像心肌血流定量的影响。
背景:目的是研究疑似慢性冠状动脉综合征患者的时间帧方案、飞行时间(ToF)、重建算法、感兴趣血池容积(VOI)位置和室模型对动态13N-NH3 PET图像中心肌血流(MBF)的量化的影响程度。方法:从25名患者的休息/应激13N-NH3 PET/CT图像中确定标准MBF值,该图像使用有序子集期望最大化(OSEM)重建,第一帧没有ToF的时间帧为5s,随后使用基础VOI和deGrado隔室模型进行分析。对于第一帧使用2s或10s计算的MBF、ToF、块顺序正则化期望最大化(BSREM)、顶点或大VOI,在Bland-Altman图中,将Hutchins或Krivokapich隔室模型与MBFstandard进行比较(偏差±SD)。结果:当改变时间框架方案或重建算法时,发现整体休息/应力MBF(ml/min/g)良好一致(MBFstandardvs MBF2s:-0.02±0.06;MBF10s:0.01±0.07;MBFBSREM:0.01±0.07),而当改变其他因素时,一致性较低(MBF标准与MBFToF:-0.07±0.10;MBFapical VOI:-0.27±0.25;MBFlarge VOI:-0.11±0.10;MBFHutchins:-0.08±0.10;MBFKrivokapich:-0.47±0.50),ToF和血池VOI。这篇文章受版权保护。保留所有权利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
5.60%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest. Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.
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