Suppr超能文献

用于低场磁共振成像的开源、可定制体模

Open-source, customizable phantom for low-field magnetic resonance imaging.

作者信息

Jordanova Kalina V, Russek Stephen E, Keenan Kathryn E

机构信息

Physical Measurement Laboratory, National Institute of Standards and Technology, 325 Broadway, Boulder, CO, 80305, USA.

出版信息

MAGMA. 2025 Jun 25. doi: 10.1007/s10334-025-01270-2.

Abstract

OBJECTIVE

This study aimed to describe important criteria for phantom design, while designing an open-source phantom that uses accessible materials and fabrication processes, and that can be easily reproduced and modified by others in the MRI research community.

MATERIALS AND METHODS

We enumerate considerations related to designing a phantom based on literature and previous experience. We design and use an open-source phantom on a low-field MRI system. The phantom was 3D printed and assembled, and the imaged samples were made from commonly available materials. T1-weighted and T2-weighted axial and coronal images were acquired at 64 mT, and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and geometric distortion along one dimension were assessed for each image.

RESULTS

Two iterations of the phantom design were made to improve the construction materials and overall form factor for imaging. T1-weighted and T2-weighted images showed contrast between samples and background. T2-weighted images had an 8-10× increase in SNR and CNR compared to T1-weighted images. Geometric distortion measurements were within one-pixel spacing for all scans.

DISCUSSION

An open-source phantom was created to assess MRI scans at low-field. Future users may modify the phantom to suit their needs. User-designed inserts can be added, allowing for validation of many MRI-related measurements.

摘要

目的

本研究旨在描述体模设计的重要标准,设计一种使用可获取材料和制造工艺的开源体模,该体模能够被MRI研究领域的其他人轻松复制和修改。

材料与方法

我们根据文献和以往经验列举了与体模设计相关的注意事项。我们在低场MRI系统上设计并使用了一种开源体模。该体模通过3D打印和组装而成,成像样本由常见材料制成。在64 mT下采集T1加权和T2加权的轴向及冠状位图像,并对每张图像评估信噪比(SNR)、对比噪声比(CNR)以及一维方向上的几何失真。

结果

对体模设计进行了两次迭代,以改进成像的构建材料和整体外形。T1加权和T2加权图像显示出样本与背景之间的对比度。与T1加权图像相比,T2加权图像的SNR和CNR提高了8 - 10倍。所有扫描的几何失真测量结果在一个像素间距内。

讨论

创建了一个开源体模来评估低场MRI扫描。未来用户可以根据自身需求修改该体模。可以添加用户设计的插入物,从而能够验证许多与MRI相关的测量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验