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Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...

Vector Algebra: Method of Components

Vector Algebra: Method of Components

It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

Imaging Studies IV: Magnetic Resonance Imaging

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

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Updated: Jan 13, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

VSSI-TBM:一种基于时间基准矩阵的变化稀疏源成像方法.

Tianyu Gao¹, Jin Ding¹, Wen Li¹

¹School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, Beihang University, Beijing 100191, China; Hangzhou Innovation Institute of Beihang University, Hangzhou 310051, China.

|January 9, 2026

概括

此摘要是机器生成的。

这项研究引入了一种新的可变稀疏源成像方法 (VSSI-TBM),用于准确地定位大脑活动. VSSI-TBM算法表现出强大的性能,即使在有限的数据和复杂的环境中,也可以改进源重建.

关键词:

分布式源模型的分布式源模型.这是一个反向问题.磁性脑电图 (MEG) 是一种磁性脑电图.混合规范约束的混合规范约束.时间基准矩阵.

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3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

相关实验视频

Last Updated: Jan 13, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

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
信号处理信号处理

背景情况:

脑源重建对于定位功能和损伤区域至关重要.
复杂的实验环境 (噪音,分布式活动) 限制了当前源的成像准确性.
准确的范围估计仍然是脑源重建的一个挑战.

研究的目的:

提出一种基于时间基准矩阵 (VSSI-TBM) 算法的新型变异稀疏源成像方法.
在具有挑战性的条件下提高脑源重建的准确性和稳定性.
为了评估VSSI-TBM算法的性能,并没有事先的信息.

主要方法:

开发了使用低级分解提取有效信号的VSSI-TBM算法.
采用混合规范约束和皮质源变量运算符来实现空间稀疏和光滑.
整合了领先的现场指导约束,以使用先前信息改进重建.

主要成果:

在低SNR,大源 (>11cm^2) 和多源环境中,VSSI-TBM表现出强大的性能.
整合先前的信息在复杂的环境中显著提高了成像性能.
该算法在OPM-MEG数据集上显示出强大的空间范围重建稳定性.

结论:

VSSI-TBM为脑源成像提供了强大而准确的解决方案,克服了现有方法的局限性.
该算法的性能在挑战低SNR和复杂环境时特别强大.
预先信息整合进一步提高了VSSI-TBM的有效性,特别是在OPM-MEG系统中.