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Investigation of 4D PET attenuation correction using Ultra-short Echo Time MR

机译:使用超短回波时间MR进行4D PET衰减校正的研究

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In hybrid imaging systems where positron emission tomography (PET) is combined with magnetic resonance (MR) imaging, attenuation maps can be derived from MR to correct for attenuation in PET. However, MR-based attenuation correction (AC) remains challenging especially for tissue types showing poor signal in common MR sequences, such as bone. To overcome this problem, Ultra-short Echo Time (UTE) sequences have been proposed. Another challenge is given by respiratory motion which results in misalignments between the derived attenuation maps and the PET emissions. In this paper we address both issues. We compute a 4D attenuation map including bone from MR by combining a respiratory gated UTE acquisition with a subject-specific motion model derived from a second short dynamic acquisition. We demonstrate our approach on an MR-derived time-averaged PET simulation from three healthy volunteers, including three artificial lesions. The impact of bone on AC is simulated by excluding bone from the derived 4D map leading to errors of up to 26.0%. The impact of respiratory motion is simulated by using a non-moving 3D map, showing an error of up to 24.2%. These results indicate that a consideration of both bone tissue and respiratory motion is crucial to ensure accurate MR-based PET AC.
机译:在将正电子发射断层扫描(PET)与磁共振(MR)成像相结合的混合成像系统中,可以从MR得出衰减图,以校正PET中的衰减。但是,基于MR的衰减校正(AC)仍然具有挑战性,特别是对于在常见MR序列(例如骨骼)中显示不良信号的组织类型。为了克服这个问题,已经提出了超短回波时间(UTE)序列。呼吸运动给另一个挑战,呼吸运动会导致导出的衰减图和PET排放物之间未对准。在本文中,我们解决了这两个问题。我们通过结合呼吸门控的UTE采集与源自第二个短期动态采集的特定于对象的运动模型来计算4D衰减图,包括来自MR的骨骼。我们在3位健康志愿者(包括3个人工病变)的MR衍生时间平均PET模拟中展示了我们的方法。通过将骨骼从导出的4D映射中排除会导致高达26.0%的误差来模拟骨骼对AC的影响。呼吸运动的影响是通过使用不移动的3D地图模拟的,显示的误差高达24.2%。这些结果表明,对骨组织和呼吸运动的考虑对于确保准确的基于MR的PET AC至关重要。

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