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関連する概念動画

Computed Tomography01:10

Computed Tomography

9.0K
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...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

959
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...
959
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

429
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...
429
Transformers01:26

Transformers

2.0K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
2.0K
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

9.9K
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...
9.9K
Three-Winding Transformers01:19

Three-Winding Transformers

762
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
762

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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

Published on: September 6, 2024

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TranIU-Net: 暗黙の展開型トランスフォーマーに基づく指向的な電気トモグラフィーイメージング

Binchun Lu, Lidan Fu, Juntao Ren

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |February 18, 2026
    PubMed
    まとめ

    この研究は,画像再構築の改善のための新しい深部展開型トランスフォーマーであるTranIU-Netを紹介しています. 局所的および非局所的依存関係を統合することで,より高い精度とシステムの設計のために,既存の方法の限界を克服します.

    科学分野:

    • メディカルイマージング (医学イメージング)
    • コンピュータビジョン コンピュータビジョン
    • 人工知能 (AI) とは,人工知能 (AI) のことです.

    背景:

    • ディープ・アンローリング・ネットワーク (Deep Unrolling Network) は,画像再構築のためのデータ駆動とモデル駆動のアプローチを組み合わせています.
    • 既存の方法は,不十分な繰り返し,限られた受容場,物理システムからの隔離などの課題に直面しています.

    研究 の 目的:

    • TranIU-Netを提案し,画像再構築の強化のために,新しい暗黙の展開型トランスフォーマーアーキテクチャを提案する.
    • 現行の展開ネットワークの限界に対処するために,ローカルおよび非ローカル依存関係を統合し,システム設計をガイドします.

    主な方法:

    • TranIU-Netは,近接グラデントアルゴリズムを構造的に解釈可能な訓練可能なネットワークに展開します.
    • 組み込みのトランスフォーマーモジュールは,ハイブリッド受容場と有意度推定器で多次元情報をキャプチャします.
    • 暗黙のマッピングは,恒常的なメモリコストで無制限の深さで収束を保証します.

    主要な成果:

    • TranIU-Netは,電気トモグラフィの再構築における最先端の方法よりも優れたパフォーマンスを示しています.
    • このアーキテクチャは,さまざまなシナリオで,定量的かつ質的に改善された再構築結果を達成します.

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    Published on: September 6, 2024

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  • この方法は,再構築アルゴリズムと画像システムの間のギャップを効果的に埋めます.

    • 結論:

    • TranIU-Netは,画像再構築のタスクのための堅牢で効率的なソリューションを提供します.
    • 提案されたアーキテクチャは,高度なディープラーニング技術をモデル主導の原則と統合することによって,フィールドを前進させます.
    • この作業は,本質的な画像相関とシステム設計を考慮することによって,より良い再構築品質を促進します.