Averaging Randomized Kaczmarz for Magnetic Particle Imaging

Yimeng Li; Peng Zhang; Hui Hui; Lin Yin; Jie Tian

doi:10.18416/ijmpi.2022.2203032

Averaging Randomized Kaczmarz for Magnetic Particle Imaging

Yimeng Li
, Peng Zhang
, Hui Hui
, Lin Yin
, Jie Tian^*

^*此作品的通讯作者

医学科学与工程学院

Beihang University
CAS - Institute of Automation
Beijing Jiaotong University

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

Magnetic particle imaging (MPI) is a promising modality for medical imaging with high resolution and sensitivity. In this paper, the averaging randomized Kaczmarz (ARK) reconstruction method is proposed to accelerate the image reconstruction process. Compared with the traditional Kaczmarz method, the ARK algorithm improves the image quality and reconstruction resolution. The iterative parameters of the ARK are selected, and further optimization needs to be studied.

源语言	英语
文章编号	2203032
期刊	International Journal on Magnetic Particle Imaging
卷	8
期	1
DOI	https://doi.org/10.18416/ijmpi.2022.2203032
出版状态	已出版 - 2022

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title = "Averaging Randomized Kaczmarz for Magnetic Particle Imaging",

abstract = "Magnetic particle imaging (MPI) is a promising modality for medical imaging with high resolution and sensitivity. In this paper, the averaging randomized Kaczmarz (ARK) reconstruction method is proposed to accelerate the image reconstruction process. Compared with the traditional Kaczmarz method, the ARK algorithm improves the image quality and reconstruction resolution. The iterative parameters of the ARK are selected, and further optimization needs to be studied.",

author = "Yimeng Li and Peng Zhang and Hui Hui and Lin Yin and Jie Tian",

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year = "2022",

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language = "英语",

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AU - Li, Yimeng

AU - Zhang, Peng

AU - Hui, Hui

AU - Yin, Lin

AU - Tian, Jie

PY - 2022

Y1 - 2022

N2 - Magnetic particle imaging (MPI) is a promising modality for medical imaging with high resolution and sensitivity. In this paper, the averaging randomized Kaczmarz (ARK) reconstruction method is proposed to accelerate the image reconstruction process. Compared with the traditional Kaczmarz method, the ARK algorithm improves the image quality and reconstruction resolution. The iterative parameters of the ARK are selected, and further optimization needs to be studied.

AB - Magnetic particle imaging (MPI) is a promising modality for medical imaging with high resolution and sensitivity. In this paper, the averaging randomized Kaczmarz (ARK) reconstruction method is proposed to accelerate the image reconstruction process. Compared with the traditional Kaczmarz method, the ARK algorithm improves the image quality and reconstruction resolution. The iterative parameters of the ARK are selected, and further optimization needs to be studied.

UR - https://www.scopus.com/pages/publications/85128267039

U2 - 10.18416/ijmpi.2022.2203032

DO - 10.18416/ijmpi.2022.2203032

M3 - 文章

AN - SCOPUS:85128267039

SN - 2365-9033

VL - 8

JO - International Journal on Magnetic Particle Imaging

JF - International Journal on Magnetic Particle Imaging

IS - 1

M1 - 2203032

ER -

Averaging Randomized Kaczmarz for Magnetic Particle Imaging

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