A 3D-printed phantom to validate subject orientation in 3D imaging and recordings.

IF 2.9 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Frontiers in Neuroinformatics Pub Date : 2026-05-28 eCollection Date: 2026-01-01 DOI:10.3389/fninf.2026.1613151

Guillaume Jean-Paul Claude Becq, Olivier Montigon, Sarvenaz Keshmiri, Aurélien Delphin, Paul Galloux, Hervé Mathieu, Benjamin Lemasson, Emmanuel L Barbier

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引用次数: 0

Abstract

A phantom defined by a 3D-printed system of markers representing an anatomical coordinate system is proposed. This phantom is designed for use in magnetic resonance and X-ray imaging devices to validate acquisition parameters and prevent laterality errors during image acquisition and processing. The phantom allows visualization of the coordinate system axes - left-right, posterior-anterior, and inferior-superior - in all orthogonal slices of a volume. A computational method, using the phantom as a reference, is also proposed to automatically detect and correct flips and permutations in RAS coordinate system representations. Testing the phantom across four modalities available in our platforms, followed by conversions of the recordings to the NIfTI format, enables the detection, correction, and adjustment of protocols in 4 out of 5 configurations. The 3D printing models and orientation detection/correction code are shared with the community as open-source and open-access resources to enable quick, cost-effective, and accessible production.

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一个3D打印的幻影，用于验证3D成像和记录中的主题方向。

提出了一种由代表解剖坐标系的标记的3d打印系统定义的幻影。该模体设计用于磁共振和x射线成像设备，以验证采集参数并防止图像采集和处理过程中的侧向误差。幻影允许在一个体积的所有正交切片中可视化坐标系轴——左右、前后和上下。提出了一种以幻影为参照的计算方法，自动检测和纠正RAS坐标系表示中的翻转和排列。在我们的平台上测试四种可用的模态，然后将录音转换为NIfTI格式，可以在5种配置中的4种配置中检测、校正和调整协议。3D打印模型和方向检测/校正代码作为开源和开放访问资源与社区共享，以实现快速，经济高效和可访问的生产。

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

Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

4.80

自引率

5.70%

发文量

132

审稿时长

14 weeks

期刊介绍： Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.