用于飞行时间正电子发射断层扫描的泊松噪声加权滤波器。

4区计算机科学 Q1 Arts and Humanities

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-04-29 DOI:10.1186/s42492-020-00048-8

Gengsheng L Zeng, Li Lv, Qiu Huang

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引用次数: 0

摘要

列表模式飞行时间（TOF）正电子发射断层扫描（PET）的图像重建可通过分析算法实现。反向投影滤波（BPF）算法是完成这一任务的高效算法。分析图像重建的传统噪声控制方法是使用静态低通滤波器，这种方法不能正确模拟泊松噪声。本研究提出了一种用于泊松噪声控制的非静态滤波器。该滤波器在空间域以类似卷积的形式实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Poisson-noise weighted filter for time-of-flight positron emission tomography.

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Poisson-noise weighted filter for time-of-flight positron emission tomography.

Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for this task. The conventional noise control method for analytic image reconstruction is the use of a stationary lowpass filter, which does not model the Poisson noise properly. This study proposes a nonstationary filter for Poisson noise control. The filter is implemented in the spatial domain in a form similar to convolution.

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来源期刊

Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts

CiteScore

5.60

自引率

0.00%

发文量

审稿时长

5 weeks