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関連する概念動画

Divergence and Curl01:15

Divergence and Curl

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The divergence of a vector field at a point is the net outward flow of the flux out of a small volume through a closed surface enclosing the volume, as the volume tends to zero. More practically, divergence measures how much a vector field spreads out or diverges from a given point. For an outgoing flux, conventionally, the divergence is positive. The diverging point is often called the "source" of the field. Meanwhile, the negative divergence of a vector field at a point means that the vector...
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Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

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The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
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The Wave Nature of Light02:12

The Wave Nature of Light

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The nature of light has been a subject of inquiry since antiquity. In the seventeenth century, Isaac Newton performed experiments with lenses and prisms and was able to demonstrate that white light consists of the individual colors of the rainbow combined together. Newton explained his optics findings in terms of a "corpuscular" view of light, in which light was composed of streams of extremely tiny particles traveling at high speeds according to Newton's laws of motion.
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Divergence and Curl of Electric Field01:25

Divergence and Curl of Electric Field

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The divergence of a vector is a measure of how much the vector spreads out (diverges) from a point. For example, an electric field vector diverges from the positive charge and converges at the negative charge. The divergence of an electric field is derived using Gauss's law and is equal to the charge density divided by the permittivity of space. Mathematically, it is expressed as
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関連する実験動画

Updated: Feb 14, 2026

Blood Flow Imaging with Ultrafast Doppler
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Blood Flow Imaging with Ultrafast Doppler

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超高速の分岐波画像処理のための仮想ソース分布の多目的最適化

Zahraa Alzein1, Marco Crocco2, Daniele D Caviglia3

  • 1Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture (DITEN) University of Genoa, Genoa, 16145, Italy; Esaote S.p.A, Genova, 1645, Liguria, Italy.

Ultrasonics
|February 12, 2026
PubMed
まとめ

遺伝的アルゴリズムによる分散波画像 (DWI) の仮想ソース (VS) 配置の最適化は,画像品質を大幅に改善します. この方法は解像度とコントラストを向上させ,超高速超音波の視野の限界を克服します.

キーワード:
分離する波の波長.遺伝子アルゴリズム 遺伝子アルゴリズム多目的最適化による多目的最適化空間分布は,空間的に分布している.仮想ソースは仮想ソースです.

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Direct Imaging of Laser-driven Ultrafast Molecular Rotation
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Direct Imaging of Laser-driven Ultrafast Molecular Rotation

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Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound
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関連する実験動画

Last Updated: Feb 14, 2026

Blood Flow Imaging with Ultrafast Doppler
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Blood Flow Imaging with Ultrafast Doppler

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Direct Imaging of Laser-driven Ultrafast Molecular Rotation
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Direct Imaging of Laser-driven Ultrafast Molecular Rotation

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Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound
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科学分野:

  • 超音波画像処理について
  • 医学物理学 医学物理学とは
  • コンピューティング・イメージング

背景:

  • ダイバージングウェーブイメージング (DWI) は,超高速イメージングにおける視野 (FOV) の制限を克服するために仮想ソース (VS) を使用します.
  • 現在のVS配置戦略は,決定的分布を使用しており,画像解像度とコントラストのトレードオフにつながる.

研究 の 目的:

  • 離散波イメージング (DWI) の凸配列の仮想ソース (VS) の空間分布を最適化するために.
  • 解像度およびコントラスト比率を含む画像品質メトリックを向上させるため.
  • 伝送イベントの減少によるパフォーマンスのトレードオフを調査する.

主な方法:

  • VSの空間分布を最適化するための多目的遺伝子アルゴリズムを開発した.
  • 強化されたビームコヒーレンスとアーティファクトの削減のための複合マスク重量化戦略を組み込みました.
  • ポイントスプレッド関数 (PSF) メトリクス (FWHM,PSL) と画像品質メトリクス (CR,SNR) を使って評価されたパフォーマンス,シミュレーションや実験.

主要な成果:

  • 最適化されたVS分布では,最大半幅の全幅 (FWHM) を最大50%まで削減することができました.
  • 決定論的方法と比較して,コントラスト比 (CR) が最大60%向上することが示されています.
  • 伝送イベントの数が減った場合でも,パフォーマンスの向上を維持しました.

結論:

  • 提案された多目的遺伝子アルゴリズムは,DWIのパフォーマンスを改善するためにVSの配置を効果的に最適化します.
  • このアプローチは,凸配列の決定的VS分布方法に対して,著しく進歩しています.
  • この方法は,超高速超音波における画像品質と伝送効率のバランスをとるための枠組みを提供します.