Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, Valdemar Hansens Vej 13, 2600, Glostrup, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Eur J Nucl Med Mol Imaging. 2024 Feb;51(3):707-720. doi: 10.1007/s00259-023-06469-w. Epub 2023 Oct 16.
New total-body PET scanners with a long axial field of view (LAFOV) allow for higher temporal resolution due to higher sensitivity, which facilitates perfusion estimation by model-free deconvolution. Fundamental tracer kinetic theory predicts that perfusion can be estimated for all tracers despite their different fates given sufficiently high temporal resolution of 1 s or better, bypassing the need for compartment modelling. The aim of this study was to investigate whether brain perfusion could be estimated using model-free Tikhonov generalized deconvolution for five different PET tracers, [O]HO, [C]PIB, [F]FE-PE2I, [F]FDG and [F]FET. To our knowledge, this is the first example of a general model-free approach to estimate cerebral blood flow (CBF) from PET data.
Twenty-five patients underwent dynamic LAFOV PET scanning (Siemens, Quadra). PET images were reconstructed with an isotropic voxel resolution of 1.65 mm. Time framing was 40 × 1 s during bolus passage followed by increasing framing up to 60 min. AIF was obtained from the descending aorta. Both voxel- and region-based calculations of perfusion in the thalamus were performed using the Tikhonov method. The residue impulse response function was used to estimate the extraction fraction of tracer leakage across the blood-brain barrier.
CBF ranged from 37 to 69 mL blood min 100 mL of tissue in the thalamus. Voxelwise calculation of CBF resulted in CBF maps in the physiologically normal range. The extraction fractions of [O]HO, [F]FE-PE2I, [C]PIB, [F]FDG and [F]FET in the thalamus were 0.95, 0.78, 0.62, 0.19 and 0.03, respectively.
The high temporal resolution and sensitivity associated with LAFOV PET scanners allow for noninvasive perfusion estimation of multiple tracers. The method provides an estimation of the residue impulse response function, from which the fate of the tracer can be studied, including the extraction fraction, influx constant, volume of distribution and transit time distribution, providing detailed physiological insight into normal and pathologic tissue.
具有长轴向视野(LAFOV)的新型全身 PET 扫描仪由于灵敏度更高,因此可以实现更高的时间分辨率,从而通过无模型反卷积来促进灌注估计。基本示踪动力学理论预测,只要时间分辨率足够高(达到 1 秒或更高),就可以对所有示踪剂进行灌注估计,而无需进行房室模型建模。本研究的目的是研究是否可以使用无模型 Tikhonov 广义反卷积来估计五种不同的 PET 示踪剂[O]HO、[C]PIB、[F]FE-PE2I、[F]FDG 和[F]FET 的脑灌注。据我们所知,这是首次使用通用无模型方法从 PET 数据估计脑血流(CBF)的示例。
25 名患者接受了动态 LAFOV PET 扫描(西门子,Quadra)。使用各向同性体素分辨率为 1.65mm 对 PET 图像进行重建。在通过团注期间进行 40×1s 的时间帧,然后增加到 60min。采用主动脉降部获得动脉输入函数。使用 Tikhonov 方法分别对丘脑的体素和区域进行灌注计算。使用残留脉冲响应函数来估计示踪剂漏出到血脑屏障的提取分数。
丘脑的 CBF 范围为 37-69ml/min/100ml 组织。对 CBF 的体素计算导致了在生理正常范围内的 CBF 图。[O]HO、[F]FE-PE2I、[C]PIB、[F]FDG 和[F]FET 在丘脑的提取分数分别为 0.95、0.78、0.62、0.19 和 0.03。
LAFOV PET 扫描仪具有的高时间分辨率和灵敏度可实现对多种示踪剂的无创灌注估计。该方法提供了对残留脉冲响应函数的估计,从中可以研究示踪剂的命运,包括提取分数、流入常数、分布容积和转运时间分布,为正常和病理组织提供详细的生理学见解。