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相关概念视频

Brain Imaging01:14

Brain Imaging

238
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
238
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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相关实验视频

Updated: Jul 15, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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Published on: November 8, 2012

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DICOM 的 R 包用于将脑成像数据结构转换为脑成像数据结构.

Niklas Wulms1, Sven Eppe2, Mahboobeh Dehghan-Nayyeri3,4

  • 1Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany. wulms@uni-muenster.de.

Scientific data
|October 4, 2023
PubMed
概括

BIDSconvertR是一个新的R包,它使用大脑成像数据结构 (BIDS) 标准组织磁共振成像 (MRI) 数据. 该工具简化了数据转换,验证和管理,以提高神经成像研究的可复制性.

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相关实验视频

Last Updated: Jul 15, 2025

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Published on: November 8, 2012

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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
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科学领域:

  • 神经成像是一种神经成像.
  • 数据科学数据科学数据科学
  • 生物信息学是一种生物信息学.

背景情况:

  • 磁共振成像 (MRI) 研究产生了庞大而复杂的数据集.
  • 标准化神经成像数据对于可复制性和数据共享至关重要.
  • 大脑成像数据结构 (BIDS) 是组织此类数据的日益增长的标准.

研究的目的:

  • 介绍BIDSconvertR,这是一个用于组织MRI数据的R包.
  • 为了方便将DICOM和NIfTI文件转换为BIDS格式.
  • 在BIDS框架内加强MRI数据管理和验证.

主要方法:

  • 开发一个基于R的包,BIDSconvertR.
  • 实施DICOM到NIfTI和NIfTI到BIDS的转换功能.
  • 集成BIDS验证器和MRI数据查看器,具有图形用户界面.

主要成果:

  • BIDSconvertR为MRI数据组织提供了一个交互式和用户友好的界面.
  • 该软件包支持高效的数据转换,验证和管理.
  • 诸如彩色编码的BIDS序列ID和正则表达式支持等功能简化了数据清理和验证.

结论:

  • BIDSconvertR是第一个基于R的工具,支持根据BIDS规范对MRI数据进行组织.
  • 该方案旨在促进神经成像研究中的数据标准化,透明度和可重复性.
  • 它使研究人员能够有效地管理和共享他们的MRI数据集.