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

Fast Fourier Transform01:10

Fast Fourier Transform

310
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
310

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

Deep UV laser scanning microscopy with integrated 1050 nm spectral-domain optical coherence tomography for multi-contrast tissue imaging.

Biomedical optics express·2025
Same author

Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.

Journal of biomedical optics·2025
Same author

Ultrafast 3D synthetic aperture imaging with Hadamard-encoded aperiodic interval codes and aperiodic sparse arrays with separate transmitters and receivers.

Ultrasonics·2024
Same author

Transparent Dual-Frequency CMUT Arrays for Photoacoustic Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2023
Same author

High-Voltage Bias-Switching Electronics for Volumetric Imaging Using Electrostrictive Row-Column Arrays.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2023
Same author

Costas Sparse 2-D Arrays for High-Resolution Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2023

相关实验视频

Updated: Jun 26, 2025

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time
09:56

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Published on: November 4, 2014

10.8K

托贝-科斯塔斯阵列用于快速高分辨率3D功率多普勒成像.

Mohammad Hadi Masoumi, Tarek Kaddoura, Roger Zemp

    IEEE transactions on ultrasonics, ferroelectrics, and frequency control
    |May 14, 2024
    PubMed
    概括

    一个新的混合超声波阵列设计结合了行列和稀疏阵列. 与现有的方法相比,这个TOBE-Costas阵列为3D成像提供了更高的分辨率和视野.

    科学领域:

    • 超声波成像 超声波成像
    • 阵列传感器技术 阵列传感器技术
    • 医学成像系统 医学成像系统

    背景情况:

    • 二维 (2D) 稀疏数组和行列 (RC) 数组是完全定位数组的替代方案,为3D成像提供较低的通道计数.
    • RC阵列提供快速的3D成像,但可能患有格子叶片或需要复杂化.
    • 2D稀疏阵列允许全体积采集,但在平面波传输中可能存在波面均性问题.

    研究的目的:

    • 引入一种新的混合数组架构,结合RC和2D稀疏数组.
    • 为了评估使用RC传输和2D稀疏接收与Costas阵列的混合成像方案.
    • 为了解决独立RC和稀疏阵列在3D超声波成像中的局限性.

    主要方法:

    • 使用新的TOBE-Costas阵列架构进行模拟成像.
    • 与同等光圈大小 (128λ × 128λ 在7.5 MHz) 的RC和稀疏螺旋阵列进行比较.
    • 对点目标的超快平面波成像和流体幻影的3D功率多普勒成像的评估.

    主要成果:

    • 与RC阵列的平面波复合相比,TOBE-Costas阵列显示出更高的分辨率和更低的侧叶水平.
    • 使用TOBE-Costas阵列的混合方案提供了比密度渐变螺旋阵列更大的视野和更好的分辨率.

    更多相关视频

    Blood Flow Imaging with Ultrafast Doppler
    05:57

    Blood Flow Imaging with Ultrafast Doppler

    Published on: October 14, 2020

    7.6K
    Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
    11:33

    Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

    Published on: January 30, 2016

    10.9K

    相关实验视频

    Last Updated: Jun 26, 2025

    Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time
    09:56

    Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

    Published on: November 4, 2014

    10.8K
    Blood Flow Imaging with Ultrafast Doppler
    05:57

    Blood Flow Imaging with Ultrafast Doppler

    Published on: October 14, 2020

    7.6K
    Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
    11:33

    Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

    Published on: January 30, 2016

    10.9K
  • 拟议的架构有效地整合了RC和稀疏数组的好处.
  • 结论:

    • 混合TOBE-Costas阵列架构是3D超声波成像的一个有希望的进步.
    • 这种新的设计克服了单个稀疏和行列数组方法的局限性.
    • 混合方案为先进的超声波应用提供了增强的图像质量,分辨率和视野.