一种用于双能CT的新型投影数据域材料分解方法及其对减弱值准确性的影响

Viktor Haase1, Frédéric Noo2, Karl Stierstorfer3

  • 1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, GERMANY.

PubMed
概括

一种新的投射数据域材料分解方法通过减少光束硬化工件和提高衰减值精度来提高CT定量准确性,特别是在较低的能量下. 这种方法对先进的CT应用有前途.

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