一个统一的学习模型,用于估计在异质多层扩散加权MRI上的纤维方向分布函数
Tianyuan Yao1, Nancy Newlin1, Praitayini Kanakaraj1
1Vanderbilt University, Nashville, TN 37215, USA.
概括
本研究引入了一种新的单阶段深度学习网络,用于从扩散MRI数据中估计纤维方向分布函数 (fODF). 该方法有效地处理多序列,优于现有的多阶段方法.
科学领域:
- 神经成像是一种神经成像.
- 生物医学工程 生物医学工程
- 计算神经科学是一种神经科学.
背景情况:
- 扩散权重MRI (DW-MRI) 测量生物组织中的水扩散,这对于理解微观结构至关重要.
- 最近的进展侧重于辐射b值依赖,以改进组织分类和微型架构估计.
- 现有的深度学习方法通常需要多阶段的策略,并依赖于中间表示.
研究的目的:
- 开发一个统一的,单阶段的深度学习网络,用于高效的光纤导向分布函数 (fODF) 估计.
- 为了从异质的多DW-MRI序列中实现准确的fODF估计.
- 将拟议的单阶段方法与传统的多阶段方法的性能进行比较.
主要方法:
- 开发了一种新的单阶段球形卷积神经网络.
- 该网络使用人类连接组项目 (HCP) 年轻成年人测试复试扫描数据进行了培训和验证.
- 使用异质的多,脱落和单DW-MRI序列来评估性能.
主要成果:
- 拟议的单阶段网络证明了高效和准确的fODF估计.
- 该方法的性能优于之前的多阶段深度学习方法.
- 在各种DW-MRI序列类型中观察到强大的性能,包括单数据.
结论:
- 开发的统一动态网络为DW-MRI中fODF估计提供了更有效和更有效的方法.
- 这种单阶段方法简化了微结构成像的深度学习管道.
- 这些发现表明,在神经科学中改善诊断和研究应用的潜力.
相关概念视频
Assessment of Diffusion and Perfusion
1.5K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.5K
Two-Dimensional (2D) NMR: Overview
1.4K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.4K
Magnetic Resonance Imaging
8.9K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.9K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
223
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
223
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
1.6K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.6K


