A database of magnetic resonance imaging-transcranial ultrasound co-registration

IF 3.2 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Medical physics Pub Date : 2025-02-07 DOI:10.1002/mp.17666

Maryam Alizadeh, D. Louis Collins, Marta Kersten-Oertel, Yiming Xiao

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Abstract

Purpose

As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, including Parkinson's disease and cerebrovascular conditions. To better understand the information in TCS for data analysis and acquisition, MRI can provide guidance for efficient imaging with neuronavigation systems and the confirmation of disease-related abnormality. In these cases, MRI-TCS co-registration is crucial, but relevant public databases are scarce to help develop the related algorithms and software systems.

Acquisition and validation methods

This dataset comprises manually registered MRI and transcranial ultrasound volumes from eight healthy subjects. Three raters manually registered each subject's scans, based on visual inspection of image feature correspondence. Average transformation matrices were computed from all raters' alignments for each subject. Inter- and intra-rater variability in the transformations conducted by raters are presented to validate the accuracy and consistency of manual registration. In addition, a population-averaged MRI brain vascular atlas is provided to facilitate the development of computer-assisted TCS acquisition software.

Data format and usage notes

The dataset is provided in both NIFTI and MINC formats and is publicly available on the OSF data repository: https://osf.io/zdcjb/.

Potential applications

This dataset provides the first public resource for the development and assessment of MRI-TCS registration with manual ground truths, as well as resources for establishing neuronavigation software in data acquisition and analysis of TCS. These technical advancements could greatly boost TCS as an imaging tool for clinical applications in the diagnosis of neurological conditions such as Parkinson's disease and cerebrovascular disorders.

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磁共振成像-经颅超声共配准数据库。

目的：经颅超声（TCS）作为一种比磁共振成像（MRI）更具可及性的便携、低成本的成像方式，在帕金森病和脑血管疾病的各种临床诊断中显示出其灵活性和潜在的实用性。为了更好地了解TCS中的信息，进行数据分析和采集，MRI可以为神经导航系统的有效成像和疾病相关异常的确认提供指导。在这些情况下，MRI-TCS共配准是至关重要的，但相关的公共数据库很少，无法帮助开发相关的算法和软件系统。获取和验证方法：该数据集包括来自8名健康受试者的手动注册MRI和经颅超声体积。三名评分员根据图像特征对应的视觉检查，手动登记每个受试者的扫描。从每个受试者的所有评分者的对齐中计算平均变换矩阵。为了验证人工配准的准确性和一致性，提出了配准器进行变换时的内部和内部变异。此外，还提供了人口平均MRI脑血管图谱，以促进计算机辅助TCS采集软件的开发。数据格式和使用说明：该数据集以NIFTI和MINC两种格式提供，并可在OSF数据存储库上公开获取：https://osf.io/zdcjb/.Potential applications：该数据集为开发和评估MRI-TCS手动地面事实注册提供了第一个公共资源，也为建立用于TCS数据采集和分析的神经导航软件提供了资源。这些技术进步可以极大地促进TCS作为临床应用的成像工具，用于诊断帕金森病和脑血管疾病等神经系统疾病。

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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.