Sekine Tetsuro, Buck Alfred, Delso Gaspar, Ter Voert Edwin E G W, Huellner Martin, Veit-Haibach Patrick, Warnock Geoffrey
Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland University of Zurich, Zurich, Switzerland Department of Radiology, Nippon Medical School, Tokyo, Japan
Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland University of Zurich, Zurich, Switzerland.
J Nucl Med. 2016 Feb;57(2):215-20. doi: 10.2967/jnumed.115.159228. Epub 2015 Oct 22.
Attenuation correction (AC) for integrated PET/MR imaging in the human brain is still an open problem. In this study, we evaluated a simplified atlas-based AC (Atlas-AC) by comparing (18)F-FDG PET data corrected using either Atlas-AC or true CT data (CT-AC).
We enrolled 8 patients (median age, 63 y). 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/MR of the head (additional tracer was not injected). For each patient, 2 AC maps were generated: an Atlas-AC map registered to a patient-specific liver accelerated volume acquisition-Flex MR sequence and using a vendor-provided head atlas generated from multiple CT head images and a CT-based AC map. For comparative AC, the CT-AC map generated from PET/CT was superimposed on the Atlas-AC map. PET images were reconstructed from the list-mode raw data from the PET/MR imaging 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 difference (%diff) between images based on Atlas-AC and CT-AC was calculated, and averaged difference images were generated. (18)F-FDG uptake in all VOIs was compared using Bland-Altman analysis.
The range of error in all 536 VOIs was -3.0%-7.3%. Whole-brain (18)F-FDG uptake based on Atlas-AC was slightly underestimated (%diff = 2.19% ± 1.40%). The underestimation was most pronounced in the regions below the anterior/posterior commissure line, such as the cerebellum, temporal lobe, and central structures (%diff = 3.69% ± 1.43%, 3.25% ± 1.42%, and 3.05% ± 1.18%), suggesting that Atlas-AC tends to underestimate the attenuation values of the skull base bone.
When compared with the gold-standard CT-AC, errors introduced using Atlas-AC did not exceed 8% in any brain region investigated. Underestimation of (18)F-FDG uptake was minor (<4%) but significant in regions near the skull base.
人脑PET/MR成像的衰减校正(AC)仍是一个未解决的问题。在本研究中,我们通过比较使用基于图谱的AC(图谱AC)或真实CT数据(CT-AC)校正的(18)F-FDG PET数据,评估了一种简化的基于图谱的AC(图谱AC)。
我们招募了8名患者(中位年龄63岁)。所有患者均接受了临床指示的全身(18)F-FDG PET/CT检查,用于恶性疾病的分期、再分期或随访。所有患者自愿接受额外的头部PET/MR检查(未注射额外的示踪剂)。对于每位患者,生成了2幅AC图:一幅图谱AC图,配准到患者特异性肝脏加速容积采集-Flex MR序列,并使用从多个CT头部图像生成的供应商提供的头部图谱,以及一幅基于CT的AC图。为了进行比较AC,将从PET/CT生成的CT-AC图叠加在图谱AC图上。使用每幅AC图从PET/MR成像扫描仪的列表模式原始数据重建PET图像。所有PET图像均归一化到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。计算基于图谱AC和CT-AC的图像之间的相对差异(%diff),并生成平均差异图像。使用Bland-Altman分析比较所有VOI中的(18)F-FDG摄取。
所有536个VOI中的误差范围为-3.0%-7.3%。基于图谱AC的全脑(18)F-FDG摄取略有低估(%diff = 2.19% ± 1.40%)。这种低估在前后连合线以下的区域最为明显,如小脑、颞叶和中央结构(%diff = 3.69% ± 1.43%、3.25% ± 1.42%和3.05% ± 1.18%),表明图谱AC倾向于低估颅底骨的衰减值。
与金标准CT-AC相比,使用图谱AC引入的误差在任何研究的脑区中均未超过8%。(18)F-FDG摄取的低估较小(<4%),但在颅底附近区域显著。