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相关概念视频

Muscles of the Forearm that Move the Hand and Fingers01:16

Muscles of the Forearm that Move the Hand and Fingers

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The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
Anterior Compartment
The anterior compartment muscles originate from the humerus. They primarily function as flexors and are also known as flexor muscles. They typically insert on the carpals, metacarpals, and phalanges. The superficial layer includes the flexor carpi...
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Muscles that Move the Forearm01:16

Muscles that Move the Forearm

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The muscles that move the forearms can be divided into four groups: forearm flexors, forearm extensors, forearm pronators, and forearm supinators. The flexors and extensors act on the elbow joint, while the pronators and supinators act on the radioulnar joints.
Forearm Flexors
The biceps brachii, brachialis, and brachioradialis are forearm flexors. The biceps brachii is made up of two heads. Its long head originates at the supraglenoid tubercle of the scapula, whereas that of the short head is...
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Functions of Smooth Muscles01:23

Functions of Smooth Muscles

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Smooth muscles are an important type of muscle tissue that plays a vital role in the involuntary movements of internal organs. For example, they help regulate the movement of food through the gut and the flow of blood through the circulatory system.
Function of visceral smooth muscles
Visceral smooth muscle is found in the walls of all hollow organs, except the heart, and is a key player in the involuntary movements that drive the functioning of these internal organs. This tissue is arranged in...
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Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

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Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
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Muscles of the Eye01:20

Muscles of the Eye

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The muscles of the eye are sophisticated structures that control eye movement and focus, allowing for the precise and rapid adjustments necessary for vision. The human eye is controlled by ten muscles — six extraocular muscles, three intraocular muscles, and one primary eyelid retractor muscle.
Extraocular Muscles
The six extraocular muscles surround the eyeball and control its movements. They are responsible for a wide range of eye motions, including looking up, down, left, right, and...
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Muscles that Move the Head01:19

Muscles that Move the Head

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The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
The bilateral sternocleidomastoid, or SCM, and the suprahyoid and infrahyoid muscles are significant head flexors. The SCM muscles originate at the sternum and clavicle and attach to the mastoid process of the temporal bone. The SCM contracts bilaterally to bend the head forward, whereas...
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前臂肌肉的自动细分:与手部功能,肌肉体积和肌内脂肪的临床关联

Joel Fundaun1, Valeria Oliva1,2, Sandrine Bédard1,3

  • 1Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine Stanford University School of Medicine Stanford California USA.

JCSM communications
|January 22, 2026
PubMed
概括

自动化MRI细分精确评估前臂肌肉健康状况,将肌肉体积与握力联系起来. 这种计算机视觉方法有助于评估影响手部功能的条件.

关键词:
在计算机辅助的计算机辅助系统中.灵巧度 灵巧度 这就是灵巧.手臂前臂的前臂是什么意思抓地力 抓地力 抓地力 抓地力图像处理是图像处理的过程.磁共振成像技术的使用

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科学领域:

  • 生物医学工程 生物医学工程
  • 放射学 放射学是一门学科.
  • 计算机视觉 计算机视觉

背景情况:

  • 手的功能对于日常活动至关重要,在肌肉骨和神经系统疾病的早期经常受到损害.
  • 磁共振成像 (MRI) 的肌肉健康标记与功能能力相关,但传统的评估需要大量的时间.
  • 使用计算机视觉的自动细分为有效的肌肉健康评估提供了潜在的解决方案.

研究的目的:

  • 开发和验证计算机视觉模型,用于使用MRI进行自动化前臂肌肉细分.
  • 调查MRI衍生的肌肉标记物 (体积,肌内脂肪) 和人口因素 (年龄,性别,BMI) 之间的关联.
  • 探索肌肉标记物和功能性指标 (如握力和灵巧度) 之间的关系.

主要方法:

  • 一个2D U-Net卷积神经网络被训练在手动细分的前臂肌肉从迪克森脂肪水MRI扫描.
  • 该模型的准确性和可靠性使用Sørensen-Dice指数和类内相关系数 (ICC) 进行了测试.
  • 使用相关性和回归模型分析了肌肉指标,人口统计和手部功能之间的关联.

主要成果:

  • 自动化细分模型表现出高准确度 (索伦森-迪斯指数0.85-0.89) 和可靠性 (ICCs0.75-0.99).
  • 肌肉体积与BMI正相关,并且在男性中更大,无论年龄如何.
  • 握力的强度与肌肉体积有很强的正相关性,而肌内脂肪与功能无关.

结论:

  • 通过计算机视觉自动化前臂肌肉细分是准确和可靠的.
  • 肌肉体积受到BMI和性别的影响,与握力密切相关,这表明它对评估手部功能的临床相关性.
  • 这项技术可以有效评估肌肉健康状况,在治疗规划和功能结果监测方面有潜在的应用.