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

Molecular Shapes01:18

Molecular Shapes

61.9K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
61.9K
Molecular Shape and Polarity03:37

Molecular Shape and Polarity

75.6K
Dipole Moment of a Molecule
75.6K
VSEPR Theory and the Basic Shapes02:52

VSEPR Theory and the Basic Shapes

84.6K
Overview of VSEPR Theory
84.6K
First Derivatives and the Shape of a Graph01:22

First Derivatives and the Shape of a Graph

77
In calculus, the concept of the first derivative plays a crucial role in understanding the behavior of a function over its domain. The first derivative, denoted as f’(x), provides insight into how a function changes at any given point, much like a cyclist adjusting speed along a winding trail. By analyzing the first derivative, mathematicians can determine where a function is increasing, decreasing, or reaching critical points.The first derivative provides a precise method for classifying...
77
Second Derivatives and the Shape of a Graph01:29

Second Derivatives and the Shape of a Graph

99
The second derivative of a function provides essential information about a graph's curvature and how it changes over an interval. It helps determine whether a function is concave upward or concave downward and identifies points where the curvature changes. These properties are fundamental in analyzing real-world scenarios, such as changes in road elevation, population growth, and economic trends.A function f(x) is considered concave upward on an interval if its graph lies above all its tangent...
99
Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

682
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
682

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

Environmental triggers of a Microcystis (Cyanophyceae) bloom in an artificial lagoon of Hangzhou Bay, China.

Marine pollution bulletin·2018
Same author

Quantitative evaluation of retinal artery occlusion using optical coherence tomography angiography: A case report.

Medicine·2018
Same author

Multibandgap quantum dot ensembles for solar-matched infrared energy harvesting.

Nature communications·2018
Same author

Butylamine-Catalyzed Synthesis of Nanocrystal Inks Enables Efficient Infrared CQD Solar Cells.

Advanced materials (Deerfield Beach, Fla.)·2018
Same author

A secretory hexokinase plays an active role in the proliferation of <i>Nosema bombycis</i>.

PeerJ·2018
Same author

Discovery of furyl/thienyl β-carboline derivatives as potent and selective PDE5 inhibitors with excellent vasorelaxant effect.

European journal of medicinal chemistry·2018

関連する実験動画

Updated: Jan 31, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K

3D膝蓋骨形状は膝蓋骨脱臼と関連している：自動座標アルゴリズムと統計的形状モデリング分析

Yichen Yan1, Jie Yao1, Zifan Liu1

  • 1Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.

Annals of biomedical engineering
|January 30, 2026
PubMed
まとめ
この要約は機械生成です。

膝蓋骨脱臼（PD）は、全体的なサイズではなく、特定の3D膝蓋骨形状パターンに関連しています。自動システムと統計的形状モデル（SSM）は、これらのばらつきを研究し、PDリスクを予測するための新しい方法を提供します。

キーワード:
3D膝蓋骨形態自動座標アルゴリズム形態学的危険因子膝蓋骨脱臼膝蓋骨不安定症統計的形状モデル

さらに関連する動画

Evaluation of Stem Cell Therapies in a Bilateral Patellar Tendon Injury Model in Rats
09:31

Evaluation of Stem Cell Therapies in a Bilateral Patellar Tendon Injury Model in Rats

Published on: March 30, 2018

11.7K
LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

29.3K

関連する実験動画

Last Updated: Jan 31, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K
Evaluation of Stem Cell Therapies in a Bilateral Patellar Tendon Injury Model in Rats
09:31

Evaluation of Stem Cell Therapies in a Bilateral Patellar Tendon Injury Model in Rats

Published on: March 30, 2018

11.7K
LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

29.3K

科学分野:

  • 整形外科学
  • 生体医工学
  • 医用画像処理

背景:

  • 膝蓋骨脱臼（PD）は一般的な整形外科の問題です。
  • 膝蓋骨の3D形態の理解は、PDの診断と治療に不可欠です。
  • 既存の膝蓋骨分析方法は、標準化と定量的精度が欠けています。

研究 の 目的:

  • 膝蓋骨の自動ランドマークベース座標系の開発。
  • 膝蓋骨統計的形状モデル（SSM）の作成。
  • 膝蓋骨脱臼（PD）に関連する3D形態学的ばらつきの特定と定量化。

主な方法:

  • 54人の参加者（PD 33人、対照群 21人）のCT/MRIスキャンから再構成された膝蓋骨表面モデル。
  • 自動膝蓋骨座標系の確立と検証。
  • 主成分分析（PCA）を使用してSSMを構築し、主要な3D形状モードを抽出しました。
  • 人口統計学的/形態学的危険因子を評価し、ロジスティック回帰分類器を評価しました。

主要な成果:

  • 自動座標系は高い再現性を示しました。
  • 膝蓋骨の線形寸法または重心サイズに有意差はありませんでした。
  • 2つの主成分（PC4およびPC7）がPDと対照群を大幅に区別しました。
  • 交差検証された分類器は、良好なコホート内識別（平均AUC≈0.91）を達成しました。

結論:

  • 膝蓋骨脱臼は、膝蓋骨の全体的な寸法とは独立して、顕著な内側面および平坦な後外側面を含む、明確な3D関節表面形状パターンに関連しています。
  • 自動座標系とSSMは、定量的な膝蓋骨表現型決定のための再現可能な方法を提供します。
  • 特定された形状モードは、PDの病態力学と将来のリスクモデリングの基礎に関する洞察を提供します。