Attenuation correction for human PET/MRI studies.
Attenuation correction for human PET/MRI studies.
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DOI：
10.1088/1361-6560/abb0f8
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发表时间：
2020-12-02
影响因子：
3.5
通讯作者：
Catana C
中科院分区：
文献类型：
--
作者：
Catana C
衰减校正一直是正电子发射断层扫描和磁共振成像（PET/MRI）领域的主要方法学挑战之一。由于标准透射或计算机断层扫描（CT）方法在集成PET/MRI扫描仪中不可用，因此必须开发基于MR的衰减校正方法。实施准确方法必须考虑的方面包括需要考虑骨组织、正常和病理肺以及PET视场中存在的MR硬件中的衰减，以减少受试者运动的影响，最大限度地减少截断和敏感性伪影，并解决与PET和MRI侧的数据采集和处理相关的问题。首先讨论了PET/MRI设备制造商实施的标准MR衰减校正技术及其对临床和研究PET数据解释和量化的影响。接下来，讨论更先进的方法，包括已提出的用于进一步最小化衰减校正相关偏差的最新一代基于深度学习的方法。最后，一个未来的观点集中在该领域所需的发展。
Attenuation correction has been one of the main methodological challenges in the integrated positron emission tomography and magnetic resonance imaging (PET/MRI) field. As standard transmission or computed tomography (CT) approaches are not available in integrated PET/MRI scanners, MR-based attenuation correction approaches had to be developed. Aspects that have to be considered for implementing accurate methods include the need to account for attenuation in bone tissue, normal and pathological lung and the MR hardware present in the PET field-of-view, to reduce the impact of subject motion, to minimize truncation and susceptibility artifacts, and to address issues related to the data acquisition and processing both on the PET and MRI sides. The standard MR-based attenuation correction techniques implemented by the PET/MRI equipment manufacturers and their impact on clinical and research PET data interpretation and quantification are first discussed. Next, the more advanced methods, including the latest generation deep learning-based approaches that have been proposed for further minimizing the attenuation correction related bias are discussed. Finally, a future perspective focused on the needed developments in the field is given.
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影响因子：
3.5
作者：
Bowen SL;Fuin N;Levine MA;Catana C
通讯作者：
Catana C
影响因子：
2.7
作者：
Baran J;Chen Z;Sforazzini F;Ferris N;Jamadar S;Schmitt B;Faul D;Shah NJ;Cholewa M;Egan GF
通讯作者：
Egan GF
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影响因子：
6.7
作者：
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通讯作者：
Runge, Val M.
影响因子：
4
作者：
Borra, Ronald J. H.;Cho, Hoon-Sung;Hooker, Jacob M.
通讯作者：
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影响因子：
3.1
作者：
Boellaard, R.;Hofman, M. B. M.;Lammertsma, A. A.
通讯作者：
Lammertsma, A. A.