Open-source hardware and software for the measurement, characterization, reporting, and correction of geometric distortion in MRI

IF 3.2 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Medical physics Pub Date : 2024-08-07 DOI:10.1002/mp.17342

Brendan M. Whelan, Paul Z. Y. Liu, Shanshan Shan, David E. J. Waddington, Bin Dong, Michael G. Jameson, Paul J. Keall

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引用次数: 0

Abstract

Background

Geometric distortion is a serious problem in MRI, particularly in MRI guided therapy. A lack of affordable and adaptable tools in this area limits research progress and harmonized quality assurance.

Purpose

To develop and test a suite of open-source hardware and software tools for the measurement, characterization, reporting, and correction of geometric distortion in MRI.

Methods

An open-source python library was developed, comprising modules for parametric phantom design, data processing, spherical harmonics, distortion correction, and interactive reporting. The code was used to design and manufacture a distortion phantom consisting of 618 oil filled markers covering a sphere of radius 150 mm. This phantom was imaged on a CT scanner and a novel split-bore 1.0 T MRI magnet. The CT images provide distortion-free dataset. These data were used to test all modules of the open-source software.

Results

All markers were successfully extracted from all images. The distorted MRI markers were mapped to undistorted CT data using an iterative search approach. Spherical harmonics reconstructed the fitted gradient data to 1.0 ± 0.6% of the input data. High resolution data were reconstructed via spherical harmonics and used to generate an interactive report. Finally, distortion correction on an independent data set reduced distortion inside the DSV from 5.5 ± 3.1 to 1.6 ± 0.8 mm.

Conclusion

Open-source hardware and software for the measurement, characterization, reporting, and correction of geometric distortion in MRI have been developed. The utility of these tools has been demonstrated via their application on a novel 1.0 T split bore magnet.

Abstract Image

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用于测量、表征、报告和校正核磁共振成像几何失真的开源硬件和软件。

背景：几何失真是磁共振成像中的一个严重问题，尤其是在磁共振成像引导治疗中。目的：开发并测试一套开源硬件和软件工具，用于测量、表征、报告和校正核磁共振成像中的几何失真：方法：开发了一个开源 python 库，包括参数模型设计、数据处理、球谐波、畸变校正和交互式报告模块。利用该代码设计并制造了一个畸变模型，该模型由 618 个充油标记组成，覆盖半径为 150 毫米的球体。该模型在 CT 扫描仪和新型分孔 1.0 T 核磁共振成像磁铁上成像。CT 图像提供了无失真数据集。这些数据用于测试开源软件的所有模块：结果：从所有图像中成功提取了所有标记。使用迭代搜索方法将失真 MRI 标记映射到无失真 CT 数据。球谐波将拟合梯度数据重建为输入数据的 1.0 ± 0.6%。通过球谐波重建了高分辨率数据，并用于生成交互式报告。最后，对一个独立数据集进行失真校正，将 DSV 内部的失真从 5.5 ± 3.1 毫米降至 1.6 ± 0.8 毫米：我们开发了用于测量、表征、报告和校正磁共振成像中几何失真的开源硬件和软件。通过在新型 1.0 T 分孔磁铁上的应用，证明了这些工具的实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Medical physics 医学-核医学

CiteScore

6.80

自引率

15.80%

发文量

660

审稿时长

1.7 months

期刊介绍： Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.