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    • 32. 发明授权
    • Magnetic resonance imaging
    • 磁共振成像
    • US06574496B1
    • 2003-06-03
    • US09572949
    • 2000-05-18
    • Klaes GolmanOskar AxelssonHaukur Johannesson
    • Klaes GolmanOskar AxelssonHaukur Johannesson
    • A61B505
    • G01R33/5601G01R33/56308
    • A method of magnetic resonance investigation of a sample by (i) reacting ortho-deuterium enriched hydrogen with a hydrogenatable MR imaging agent precursor to produce a hydrogenated (i.e. deuterated) MR imaging agent; (ii) optionally, subjecting the hydrogenated MR imaging agent to a low magnetic field;(iii) administering the hydrogenated MR imaging agent to the sample; (iv) exposing the sample to radiation of a frequency selected to excite nuclear spin transitions of selected non-zero nuclear spin nuclei in said hydrogenated MR imaging agent; (v) detecting magnetic resonance signals of the selected non-zero nuclear spin nuclei from the sample; and (vi) optionally, generating an image or biological functional data or dynamic flow data from the detected signals.
    • 通过(i)使富氘氢与可氢化MR显像剂前体反应以产生氢化(即氘代)MR成像剂,对样品进行磁共振研究的方法; (ii)任选地,使氢化MR成像剂经受低磁场;(iii)向该样品施用氢化MR显像剂; (iv)将所述样品暴露于所选择的用于激发所述氢化MR成像剂中选定的非零核自旋核的核自旋跃迁的频率的辐射; (v)从所述样品检测所选择的非零核自旋核的磁共振信号; 和(vi)可选地,从检测到的信号生成图像或生物功能数据或动态流量数据。
    • 36. 发明授权
    • MR imaging on ASL technique
    • ASL技术的MR成像
    • US06564080B1
    • 2003-05-13
    • US09539775
    • 2000-03-31
    • Tokunori Kimura
    • Tokunori Kimura
    • A61B505
    • A61B5/0263G01R33/4835G01R33/563
    • MR imaging is provided based on the ASL method providing an ASL image. In this imaging, MT effects are steadily canceled to reduce difference errors inherent in excluding stationary tissue from the image and sensitivity is given to only a signal from one-way blood flow. A first RF wave and a first magnetic gradient Gtag both for selective-exciting a tagging slab and a second RF wave and a second magnetic gradient Gcont both for selective-exciting a controlling slab are set, in which offset amounts of exciting central frequencies of both of the first and second RF waves to a central position of an imaging slab are equal to each other and offset positions Offsettag and Offsetcont of the tagging slab and the controlling slab to the imaging slab are different from each other. Both of the RF pulses are IR pulses. A pulse sequence including the first RF wave and the first magnetic gradient Gtag is performed and a pulse sequence including the second RF wave and the second magnetic gradient Gcont is performed, so that echo signals are acquired for each performance. The echo signals are subject to mutual difference calculation to provide an ASL image.
    • 基于提供ASL图像的ASL方法提供MR成像。 在该成像中,MT效应被稳定地消除,以减少从图像中排除固定组织所固有的差异误差,并且仅对来自单向血流的信号提供灵敏度。 设置用于选择性地激励标签板和第二RF波的第一RF波和第一磁梯度Gtag,以及用于选择性激励控制板的第二磁梯度Gcont,其中两个的激励中心频率的偏移量 第一和第二RF波到成像板的中心位置彼此相等,并且标签板和控制板到成像板的偏移位置Offsettag和Offsetcont彼此不同。 两个RF脉冲都是IR脉冲。 执行包括第一RF波和第一磁梯度Gtag的脉冲序列,并且执行包括第二RF波和第二磁梯度Gcont的脉冲序列,从而针对每个演奏采集回波信号。 回波信号经过相互差异计算,以提供ASL图像。
    • 39. 发明授权
    • Computing by anticipation for nuclear medicine imaging
    • 计算核医学成像预期
    • US06553248B1
    • 2003-04-22
    • US09437783
    • 1999-11-09
    • Daniel GagnonJerome W. Brack
    • Daniel GagnonJerome W. Brack
    • A61B505
    • G01T1/1647
    • A method for reconstructing an image representation of a subject from data sets collected using a medical diagnostic imaging apparatus is provided. The method includes defining operations which are performed in reconstructing desired types of image representations. The operations are applicable to data sets having particular formats. Data sets having particular formats are identified, and operations are selected from the defined operations based upon the particular format of the identified data sets. When a detected load on available image processing equipment is below a desired level, then selected operations are automatically performed on the identified data sets.
    • 提供了一种用于使用医学诊断成像装置收集的数据集重建对象的图像表示的方法。 该方法包括定义在重建期望类型的图像表示中执行的操作。 这些操作适用于具有特定格式的数据集。 识别具有特定格式的数据集,并且基于所识别的数据集的特定格式从定义的操作中选择操作。 当检测到的可用图像处理设备的负载低于期望的水平时,对所识别的数据集进行自动执行所选择的操作。