Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Probability Distributions01:32

Probability Distributions

7.9K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.9K
Diffusion01:12

Diffusion

198.2K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
198.2K
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.1K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.1K
Distribution and Dispersion00:54

Distribution and Dispersion

22.4K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
22.4K
Poisson Probability Distribution01:09

Poisson Probability Distribution

8.4K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
8.4K
Student t Distribution01:31

Student t Distribution

6.5K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
6.5K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

An AAV-based bioluminescent reporter reveals dynamic YAP/TAZ-TEAD transcriptional activity during liver injury.

Biochimica et biophysica acta. Molecular basis of disease·2026
Same author

Electric-Field Switching of Anomalous Hall Effect and Spontaneous Nonlinear Transport in a Ferromagnetic Rashba Metal.

Nano letters·2026
Same author

<i>Lysimachia christinae</i> Hance Extract Mitigates Kidney Stone Formation: Association with NOX2/ROS Axis Modulation and Ferroptosis.

Current issues in molecular biology·2026
Same author

Engineered rabbit monoclonal antibodies and core-gap-shell gold nanoparticles for dual-modal lateral flow detection of vitamin B<sub>2</sub> in serum.

Biosensors & bioelectronics·2026
Same author

Stable Analog Weight Programming in Single-Crystalline van der Waals Ferroelectric Transistors for Reliable Computing-in-Memory.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

A chromosome-level genome assembly of the waterlily aphid Rhopalosiphum nymphaeae Linnaeus.

Scientific data·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 8, 2025

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.8K

J-Score: T1rhoマッピングの加速のためのスコアベースの拡散による共同配布学習

Congcong Liu, Yuanyuan Liu, Chentao Cao

    IEEE transactions on medical imaging
    |September 5, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    この研究は,関節の画像分布を正確にモデル化することによって,T1rhoイメージングを加速する新しい拡散モデルを導入します. この方法は,アンダーサンプリングスキャンの再構築品質を大幅に改善し,臨床適用性を高めます.

    さらに関連する動画

    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
    10:33

    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

    Published on: August 14, 2019

    8.6K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.3K

    関連する実験動画

    Last Updated: Sep 8, 2025

    Diffusion Imaging in the Rat Cervical Spinal Cord
    10:46

    Diffusion Imaging in the Rat Cervical Spinal Cord

    Published on: April 7, 2015

    11.8K
    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
    10:33

    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

    Published on: August 14, 2019

    8.6K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.3K

    科学分野:

    • 磁気共鳴画像検査
    • 医学画像物理
    • コンピュータ画像

    背景:

    • T1rhoマッピングは組織特徴付けに不可欠ですが,長いスキャン時間によって制限されます.
    • アンダーサンプリングはT1rhoイメージングを加速しますが,マルチコントラスト画像の相関の正確なモデリングが必要です.
    • T1rhoイメージングにおける関節相関モデリングの既存の方法は,しばしば不正確です.

    研究 の 目的:

    • 正確な関節分布モデリングを用いた加速型T1rho画像技術を開発する.
    • 臨床用 T1rho マッピングにおける長いスキャン時間の制限に対処するためです.
    • 多コントラストのT1rho画像の再構築を改善する.

    主な方法:

    • 複数のコントラストのT1rho画像の共同分布をスコアマッチングを使用して近似するために,共同拡散モデルが提案されました.
    • 共同の逆消音拡散モデルを使用して,学習した共同分布によって導かれた,アンダーサンプリングされたT1rho画像を再構築した.
    • ベイジアンフレームワークの原則は,正確な共同分布表現のために利用されました.

    主要な成果:

    • 提案された方法は,既存の技術と比較して,T1rhoイメージングを加速する優れた性能を示した.
    • マルチコントラストのT1rho画像の共同分布の正確な特徴づけが達成されました.
    • 生体内での実験と 患者の画像再構築により 方法の可行性と有効性が確認されました

    結論:

    • 開発された関節拡散モデルは,高い画像品質を維持しながら,T1rhoパラメータイメージングを効果的に加速します.
    • このアプローチは,長い取得時間によるT1rhoマッピングの臨床的限界を克服するための有望な解決策を提供します.
    • この方法が関節分布を正確にモデル化する能力は,アンダーサンプリングされたMRIデータの再構築を強化します.