评论文献“A PET 重建公式，通过在投影空间强制执行非负性来减少 Y-90 成像中的偏差”。

Comment on 'A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging'.

机构信息

CRCI2NA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.

Siemens Healthineers, Courbevoie, France.

出版信息

Phys Med Biol. 2024 Oct 1;69(20). doi: 10.1088/1361-6560/ad7e75.

DOI:10.1088/1361-6560/ad7e75

PMID:39351704

Abstract

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.

摘要

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。