A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality.
作者信息
Kazerooni Anahita Fathi, Aarabi Mohammad Hadi, Ay Mohammadreza, Rad Hamidreza Saligheh
机构信息
Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran.
Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
出版信息
EJNMMI Phys. 2014 Jul;1(Suppl 1):A48. doi: 10.1186/2197-7364-1-S1-A48.
Abstract
摘要
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引用本文的文献
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Single STE-MR Acquisition in MR-Based Attenuation Correction of Brain PET Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach.基于磁共振成像的脑正电子发射断层显像衰减校正中采用全自动可重复水平集分割方法的单次自旋回波磁共振采集
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