Grecchi Elisabetta, Veronese Mattia, Bodini Benedetta, García-Lorenzo Daniel, Battaglini Marco, Stankoff Bruno, Turkheimer Federico E
1 Centre for Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
2 Institut du Cerveau et de la Moelle épinière (ICM), CNRS UMR 7225, INSERM, Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, Hôpital de la Pitié Salpêtrière, Sorbonne Universités, UPMC Paris, France.
J Cereb Blood Flow Metab. 2017 Dec;37(12):3803-3817. doi: 10.1177/0271678X17712183. Epub 2017 Jun 1.
The [C]PIB PET tracer, originally developed for amyloid imaging, has been recently repurposed to quantify demyelination and remyelination in multiple sclerosis (MS). Myelin PET imaging, however, is limited by its low resolution that deteriorates the quantification accuracy of white matter (WM) lesions. Here, we introduce a novel partial volume correction (PVC) method called Multiresolution-Multimodal Resolution-Recovery (MM-RR), which uses the wavelet transform and a synergistic statistical model to exploit MRI structural images to improve the resolution of [C]PIB PET myelin imaging. MM-RR performance was tested on a phantom acquisition and in a dataset comprising [C]PIB PET and MR T1- and T2-weighted images of 8 healthy controls and 20 MS patients. For the control group, the MM-RR PET images showed an average increase of 5.7% in WM uptake while the grey-matter (GM) uptake remained constant, resulting in +31% WM/GM contrast. Furthermore, MM-RR PET binding maps correlated significantly with the mRNA expressions of the most represented proteins in the myelin sheath (R= 0.57 ± 0.09). In the patient group, MM-RR PET images showed sharper lesion contours and significant improvement in normal-appearing tissue/WM-lesion contrast compared to standard PET (contrast improvement > +40%). These results were consistent with MM-RR performances in phantom experiments.
[C]PIB正电子发射断层显像(PET)示踪剂最初是为淀粉样蛋白成像而研发的,最近被重新用于量化多发性硬化症(MS)中的脱髓鞘和再髓鞘形成情况。然而,髓磷脂PET成像受限于其低分辨率,这降低了白质(WM)病变的量化准确性。在此,我们引入一种名为多分辨率-多模态分辨率恢复(MM-RR)的新型部分容积校正(PVC)方法,该方法利用小波变换和协同统计模型,借助磁共振成像(MRI)结构图像来提高[C]PIB PET髓磷脂成像的分辨率。MM-RR的性能在体模采集以及一个包含8名健康对照者和20名MS患者的[C]PIB PET与MR T1加权和T2加权图像的数据集上进行了测试。对于对照组,MM-RR PET图像显示WM摄取平均增加了5.7%,而灰质(GM)摄取保持不变,导致WM/GM对比度提高了31%。此外,MM-RR PET结合图谱与髓鞘中最具代表性蛋白质的mRNA表达显著相关(R = 0.57 ± 0.09)。在患者组中,与标准PET相比,MM-RR PET图像显示出更清晰的病变轮廓,且正常外观组织/WM病变对比度有显著改善(对比度改善> +40%)。这些结果与MM-RR在体模实验中的性能一致。