Method for the use of [11C] carbon monoxide in labeling synthesis of 11C-labelled ketones by photo-induced free radical carbonylation
    63.
    发明授权
    Method for the use of [11C] carbon monoxide in labeling synthesis of 11C-labelled ketones by photo-induced free radical carbonylation 有权
    使用[11C]一氧化碳通过光诱导的自由基羰基化标记11C标记的酮的合成方法

    公开(公告)号:US08273861B2

    公开(公告)日:2012-09-25

    申请号:US12065094

    申请日:2006-08-29

    IPC分类号: C07F5/00 C07C233/02

    CPC分类号: C07B59/001 C07C45/49

    摘要: Methods and reagents for photo-initiated carbonylation with carbon-isotope labeled carbon monoxide using alkyl/aryl iodides with carbanion precursors pretreated by a base are provided. The resultant carbon-isotope labeled ketones, and pharmaceutical acceptable salts and solvates are useful as radiopharmaceuticals, especially for use in Positron Emission Tomography (PET). Associated kits and method for PET studies are also provided.

    摘要翻译: 提供了使用具有由碱预处理的碳负离子前体的烷基/芳基碘化物用碳同位素标记的一氧化碳进行光引发羰基化的方法和试剂。 所得的碳同位素标记酮和药学上可接受的盐和溶剂化物可用作放射性药物,特别是用于正电子发射断层扫描(PET)。 还提供了关于PET研究的试剂盒和方法。

    PERFLUORO-ARYLIODONIUM SALTS IN NUCLEOPHILIC AROMATIC 18F-FLUORINATION
    67.
    发明申请
    PERFLUORO-ARYLIODONIUM SALTS IN NUCLEOPHILIC AROMATIC 18F-FLUORINATION 审中-公开
    全球芳香18F荧光中的全氟阿魏酸钠盐

    公开(公告)号:US20100228060A1

    公开(公告)日:2010-09-09

    申请号:US12681629

    申请日:2008-10-02

    IPC分类号: C07C17/20

    摘要: The present invention describes using fluorous chemistry in n.c.a. nucleophilic aromatic 18F-fluorination reactions by using perfluoro-aryliodonium salts as a precursor for aromatic nucleophilic substitution using a [18F] F-anion to displace a suitable leaving group from an electron deficient benzene ring. The results showed that using perfluoro-aryliodonium salts as a precursor is a suitable leaving group for n. c. a. nucleophilic aromatic 18F-fluorination in synthesis. The PT-precursor seems to be quite stable. In an attempt to purify the crude 18F-labeled product using fluorous solid phase extraction (F-SPE), the radio labeled impurities decreased significantly. Thus, it is possible to use this PT methodology to simplify and speed up purification methods.

    摘要翻译: 本发明描述了在n.c.a中使用氟化学。 通过使用全氟芳基碘鎓盐作为芳族亲核取代的前体,使用[18 F] F阴离子将不合适的离去基团从电子缺乏的苯环置换,进行亲核芳香族18F-氟化反应。 结果表明,使用全氟 - 芳基碘鎓盐作为前体是n的合适的离去基团。 C。 一个。 亲核芳烃18F-氟化合成。 PT前体似乎相当稳定。 为了使用氟固相萃取(F-SPE)纯化粗制的18F标记产物,放射性标记的杂质显着降低。 因此,可以使用这种PT方法来简化和加快净化方法。

    METHOD AND SYSTEM OF MULTIVARIATE ANALYSIS ON SLICE-WISE DATA OF REFERENCE STRUCTURE NORMALIZED IMAGES FOR IMPROVED QUALITY IN POSITRON EMISSION TOMOGRAPHY STUDIES
    69.
    发明申请
    METHOD AND SYSTEM OF MULTIVARIATE ANALYSIS ON SLICE-WISE DATA OF REFERENCE STRUCTURE NORMALIZED IMAGES FOR IMPROVED QUALITY IN POSITRON EMISSION TOMOGRAPHY STUDIES 审中-公开
    多尺度分析数据的方法和系统对参考结构的正确化图像的数据进行改进,以提高排放质量的位置图像研究

    公开(公告)号:US20090074279A1

    公开(公告)日:2009-03-19

    申请号:US12065111

    申请日:2006-08-31

    IPC分类号: G06K9/00

    摘要: A method and system are provided for improving the quality in positron emission tomography (PET) images. Image quality may be improved by pre-normalizing dynamic PET images and then applying a multivariate analysis tool on the images to generate improved quality dynamic PET images. The dynamic PET images are the images reconstructed from the raw dynamic PET data in the image domain of the PET study. A first normalization method is a data treatment (also referred to as noise pre-normalization) for the negative values that may result from the image reconstruction and/or from random variations in detector readings. A second normalization method is background noise pre-normalization where background pixel values are masked. A third normalization method is kinetic pre-normalization where the contrast is improved to allow greater visualization of the activity in the image. Multivariate analysis such as PCA may then be applied to each slice of the dynamic PET images.

    摘要翻译: 提供了一种提高正电子发射断层摄影(PET)图像质量的方法和系统。 通过预处理动态PET图像,然后在图像上应用多变量分析工具,可以改善图像质量,以生成改进的质量动态PET图像。 动态PET图像是从PET研究的图像域中的原始动态PET数据重建的图像。 第一归一化方法是对于可能由图像重构和/或从检测器读数中的随机变化导致的负值的数据处理(也称为噪声预归一化)。 第二归一化方法是背景噪声预归一化,其中背景像素值被掩蔽。 第三种归一化方法是动态预标准化,其中改善对比度以允许图像中的活动的更大可视化。 然后可以将多变量分析(例如PCA)应用于动态PET图像的每个切片。