Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project.

IF 7.6 1区农林科学 Q1 AGRONOMY

Plant Phenomics Pub Date : 2023-01-05 eCollection Date: 2023-12-01 DOI:10.1007/s43657-022-00083-w

Chengyan Wang, Zhang Shi, Yan Li, Xueqin Xia, Xutong Kuang, Shufang Qian, Le Xue, Lizhen Lan, Yudan Wu, Na Zhang, Ji Tao, Xumei Hu, Wenzhao Cao, Naying He, Yike Guo, Weibo Chen, Jun Zhang, Jingchun Luo, He Wang, Mei Tian

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引用次数: 0

Abstract

Imaging-derived phenotypes (IDPs) have been increasingly used in population-based cohort studies in recent years. As widely reported, magnetic resonance imaging (MRI) is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast. The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project (CHPP). Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP. The brain imaging sequences included T₁-magnetization that prepared rapid gradient echo, T₂ fluid-attenuated inversion-recovery, magnetic resonance angiography, diffusion MRI, and resting-state functional MRI. The detailed descriptions of image acquisition, interpretation, and post-processing were provided in this article. The measured IDPs included volumes of brain subregions, cerebral vessel geometrical parameters, microstructural tracts, and function connectivity metrics.

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脑磁共振成像和中国表型库项目成像衍生表型提取方案。

近年来，成像衍生表型（IDPs）越来越多地被用于基于人群的队列研究中。据广泛报道，磁共振成像（MRI）是评估大脑解剖结构和功能的重要成像模式，具有高分辨率和良好的软组织对比度。本文旨在介绍中国表型库项目（CHPP）中脑部磁共振成像的成像方案。作为CHPP 2小时全身成像方案的一部分，每位参与者都接受了30分钟的脑部磁共振成像扫描。脑成像序列包括准备快速梯度回波的 T1 磁化、T2 液体衰减反转恢复、磁共振血管造影、弥散磁共振成像和静息状态功能磁共振成像。本文对图像采集、解读和后处理进行了详细描述。测量的 IDP 包括大脑亚区体积、脑血管几何参数、微结构束和功能连接指标。

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

Plant Phenomics Multiple-

CiteScore

8.60

自引率

9.20%

发文量

审稿时长

14 weeks

期刊介绍： Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.