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使用飞行时间PET/MR扫描仪对脑部18F-FDG PET成像进行基于多图谱的衰减校正:与临床单图谱和基于CT的衰减校正的比较

Multi-Atlas-Based Attenuation Correction for Brain 18F-FDG PET Imaging Using a Time-of-Flight PET/MR Scanner: Comparison with Clinical Single-Atlas- and CT-Based Attenuation Correction.

作者信息

Sekine Tetsuro, Burgos Ninon, Warnock Geoffrey, Huellner Martin, Buck Alfred, Ter Voert Edwin E G W, Cardoso M Jorge, Hutton Brian F, Ourselin Sebastien, Veit-Haibach Patrick, Delso Gaspar

机构信息

Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland Department of Radiology, Nippon Medical School, Tokyo, Japan

Translational Imaging Group, Centre for Medical Image Computing, University College London, NW1 2HE, London, United Kingdom.

出版信息

J Nucl Med. 2016 Aug;57(8):1258-64. doi: 10.2967/jnumed.115.169045. Epub 2016 Mar 24.

Abstract

UNLABELLED

In this work, we assessed the feasibility of attenuation correction (AC) based on a multi-atlas-based method (m-Atlas) by comparing it with a clinical AC method (single-atlas-based method [s-Atlas]), on a time-of-flight (TOF) PET/MRI scanner.

METHODS

We enrolled 15 patients. The median patient age was 59 y (age range, 31-80). All patients underwent clinically indicated whole-body (18)F-FDG PET/CT for staging, restaging, or follow-up of malignant disease. All patients volunteered for an additional PET/MRI scan of the head (no additional tracer being injected). For each patient, 3 AC maps were generated. Both s-Atlas and m-Atlas AC maps were generated from the same patient-specific LAVA-Flex T1-weighted images being acquired by default on the PET/MRI scanner during the first 18 s of the PET scan. An s-Atlas AC map was extracted by the PET/MRI scanner, and an m-Atlas AC map was created using a Web service tool that automatically generates m-Atlas pseudo-CT images. For comparison, the AC map generated by PET/CT was registered and used as a gold standard. PET images were reconstructed from raw data on the TOF PET/MRI scanner using each AC map. All PET images were normalized to the SPM5 PET template, and (18)F-FDG accumulation was quantified in 67 volumes of interest (VOIs; automated anatomic labeling atlas). Relative (%diff) and absolute differences (|%diff|) between images based on each atlas AC and CT-AC were calculated. (18)F-FDG uptake in all VOIs and generalized merged VOIs were compared using the paired t test and Bland-Altman test.

RESULTS

The range of error on m-Atlas in all 1,005 VOIs was -4.99% to 4.09%. The |%diff| on the m-Atlas was improved by about 20% compared with s-Atlas (s-Atlas vs. m-Atlas: 1.49% ± 1.06% vs. 1.21% ± 0.89%, P < 0.01). In generalized VOIs, %diff on m-Atlas in the temporal lobe and cerebellum was significantly smaller (s-Atlas vs. m-Atlas: temporal lobe, 1.49% ± 1.37% vs. -0.37% ± 1.41%, P < 0.01; cerebellum, 1.55% ± 1.97% vs. -1.15% ± 1.72%, P < 0.01).

CONCLUSION

The errors introduced using either s-Atlas or m-Atlas did not exceed 5% in any brain region investigated. When compared with the clinical s-Atlas, m-Atlas is more accurate, especially in regions close to the skull base.

摘要

未标注

在本研究中,我们在飞行时间(TOF)PET/MRI扫描仪上,通过将基于多图谱的方法(m-图谱)与临床衰减校正(AC)方法(基于单图谱的方法[s-图谱])进行比较,评估了基于多图谱方法进行衰减校正的可行性。

方法

我们招募了15名患者。患者的年龄中位数为59岁(年龄范围为31 - 80岁)。所有患者均接受了临床指征的全身(18)F-FDG PET/CT检查,用于恶性疾病的分期、再分期或随访。所有患者均自愿接受额外的头部PET/MRI扫描(未注射额外的示踪剂)。对于每位患者,生成了3幅AC图谱。s-图谱和m-图谱AC图谱均从PET/MRI扫描仪在PET扫描的前18秒默认采集的同一患者特异性LAVA-Flex T1加权图像生成。s-图谱AC图谱由PET/MRI扫描仪提取,m-图谱AC图谱使用自动生成m-图谱伪CT图像的网络服务工具创建。为作比较,将PET/CT生成的AC图谱进行配准并用作金标准。使用每个AC图谱从TOF PET/MRI扫描仪上的原始数据重建PET图像。所有PET图像均归一化至SPM5 PET模板,并在67个感兴趣区(VOI;自动解剖标记图谱)中对(18)F-FDG摄取进行定量。计算基于每个图谱AC和CT-AC的图像之间的相对(%差异)和绝对差异(|%差异|)。使用配对t检验和Bland-Altman检验比较所有VOI和广义合并VOI中的(18)F-FDG摄取。

结果

在所有1005个VOI中,m-图谱的误差范围为-4.99%至4.09%。与s-图谱相比,m-图谱的|%差异|提高了约20%(s-图谱与m-图谱:1.49%±1.06%对1.21%±0.89%,P < 0.01)。在广义VOI中,颞叶和小脑中m-图谱的%差异显著更小(s-图谱与m-图谱:颞叶,1.49%±1.37%对-0.37%±1.41%,P < 0.01;小脑,1.55%±1.97%对-1.15%±1.72%,P < 0.01)。

结论

在任何研究的脑区中,使用s-图谱或m-图谱引入的误差均未超过5%。与临床s-图谱相比,m-图谱更准确,尤其是在靠近颅底的区域。

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