CRCI2NA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.
Siemens Healthineers, Courbevoie, France.
Phys Med Biol. 2024 Oct 1;69(20). doi: 10.1088/1361-6560/ad7e75.
We read with great interest the paper by Lim(2018035042) on bias reduction in Y-90 PET imaging. In particular, they proposed a new formulation of the tomographic reconstruction problem that enforces non-negativity in projection space as opposed to image space. We comment on the algorithm they derived from this formulation and bring some clarifications on the constraint that this algorithm respects.
我们饶有兴趣地阅读了 Lim 等人（2018035042）关于 Y-90 PET 成像中减少偏差的论文。特别是，他们提出了一种新的断层重建问题公式，该公式在投影空间中强制非负性，而不是在图像空间中。我们对他们从该公式推导出的算法进行了评论，并对该算法所尊重的约束条件进行了一些澄清。
