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基于测量的源本底比的PET容积三维自动分割:重建算法的影响

Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms.

作者信息

Daisne Jean-François, Sibomana Mérence, Bol Anne, Doumont Thomas, Lonneux Max, Grégoire Vincent

机构信息

Department of Radiation Oncology, Laboratory of Radiobiology, Université catholique de Louvain, St-Luc University Hospital, 10 Ave Hippocrate, B-1200 Brussels, Belgium.

出版信息

Radiother Oncol. 2003 Dec;69(3):247-50. doi: 10.1016/s0167-8140(03)00270-6.

Abstract

A method for automatic volume segmentation of functional imaging based on a relationship between source-to-background ratio and the iso-activity level to be used is described. Such method, which has been established with radioactive spheres in a phantom, is independent of the a priori knowledge of the lesion of interest and is valid for small (>2 ml) and/or poorly contrasted (S/B>1.5) lesions. Accuracy varies slightly with the image reconstruction algorithm used.

摘要

描述了一种基于源与背景比率和待使用的等活度水平之间的关系对功能成像进行自动体积分割的方法。这种方法是通过在体模中使用放射性球体建立的,与感兴趣病变的先验知识无关,并且对小(>2 ml)和/或对比度差(S/B>1.5)的病变有效。准确性会因所使用的图像重建算法而略有不同。

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