Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Computed Tomography01:10

Computed Tomography

4.5K
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...
4.5K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

12
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...
12
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

70
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
70
Gradient and Del Operator01:14

Gradient and Del Operator

2.6K
In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
2.6K
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

69
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
69

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.

IEEE transactions on information theory·2026
Same author

Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs.

Advances in neural information processing systems·2026
Same author

The Rich and the Simple: On the Implicit Bias of Adam and SGD.

Advances in neural information processing systems·2026
Same author

Emergence and Evolution of Interpretable Concepts in Diffusion Models.

Advances in neural information processing systems·2026
Same author

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion.

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition·2026
Same author

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI.

ArXiv·2026
Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026
Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026
Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026
Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K

梯度下降可能解决了非线性断层学重建.

Sara Fridovich-Keil1, Fabrizio Valdivia2, Gordon Wetzstein1

  • 1Stanford University.

ArXiv
|October 24, 2023
PubMed
概括
此摘要是机器生成的。

从非线性测量中直接重建计算机断层扫描 (CT) 信号可以减少文物. 这种新的方法,使用梯度下降,可以证明它与改善CT成像的全球最佳趋同.

更多相关视频

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.9K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.3K

相关实验视频

Last Updated: Jul 12, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.9K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.3K

科学领域:

  • 医疗成像医学成像
  • 应用数学 应用数学 应用数学

背景情况:

  • 传统的计算机断层扫描 (CT) 重建涉及一个非线性预处理步骤,该步骤对高密度材料敏感,从而导致工件.
  • 这一预处理步骤基于贝尔-兰伯特定律,在金属植入物附近的条件不佳,降低了图像质量.

研究的目的:

  • 开发和分析一个直接的非线性CT重建方法,该方法运行在原始测量上.
  • 为了证明这种直接方法的可证明的趋同性和准确性,即使数据有限.
  • 在CT重建中减少文物,特别是金属文物.

主要方法:

  • 使用非线性前模型从原始测量直接重建信号.
  • 采用梯度下降优化,已被证明在几何上与这个非凸问题上的全局最佳趋同.
  • 通过约束将先前的结构信息纳入,用于未确定信号的重建.

主要成果:

  • 在几何速度下,梯度下降向全球最佳值的可证明趋同.
  • 准确的信号重建与近最小数量的测量.
  • 在合成和真实3D数据上的圆束CT实验中证明了金属工件的减少,超过了商业重建.

结论:

  • 直接非线性CT重建提供了比传统方法更强大和数值稳定的替代方案.
  • 这种方法显著减少了金属工件,正如形光束CT实验在合成和真实3D体积上所示.
  • 这项技术在金属植入物存在的情况下有望改善CT成像.