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Related Concept Videos

Classification of Bones01:18

Classification of Bones

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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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Bone Structure01:55

Bone Structure

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Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
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Compact Bone01:27

Compact Bone

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Most bones contain compact and spongy osseous tissue, but their distribution and concentration vary based on the bone's overall function.
Compact bone, also called cortical bone, is the denser, stronger of the two types of bone tissue. It is found under the periosteum and in the diaphyses of long bones, where it provides support and protection. The microscopic structural unit of compact bone is called an osteon, or haversian system. Each osteon is composed of concentric rings of calcified...
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Blood and Nerve Supply to the Bones01:29

Blood and Nerve Supply to the Bones

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Bones are dynamic organs that require a rich supply of oxygen and nutrients. Around 5% to 10% of the cardiac output supplies blood to the bones. A typical long bone has three main sources: the nutrient artery, the metaphyseal and epiphyseal arteries, and the periosteal arteries.
Nutrient Artery
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Bone Remodeling01:40

Bone Remodeling

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Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
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Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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Vibration-based drilling depth estimation of bone.

Yu Dai1, Mehran Armand2,3

  • 1Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|February 3, 2021
PubMed
Summary
This summary is machine-generated.

This study presents a dynamic model for accurate drilling depth estimation in bone surgery. The method uses drill vibrations to monitor depth, improving safety and implant stability.

Keywords:
condition monitoringharmonic analysismachiningmusculoskeletal systemvibration measurement

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Area of Science:

  • Biomedical Engineering
  • Surgical Technology
  • Orthopedics

Background:

  • Accurate drilling depth is crucial in surgery to prevent soft tissue injury and ensure implant stability.
  • Musculoskeletal system deformation during drilling complicates precise depth control.
  • Existing methods struggle with accurate real-time drilling depth estimation.

Purpose of the Study:

  • To develop and validate a dynamic model for precise drilling depth estimation during bone procedures.
  • To improve surgical accuracy and patient safety by overcoming limitations in depth control.
  • To provide a reliable method for monitoring drill depth in both handheld and robotic systems.

Main Methods:

  • A dynamic model was created to correlate drill axial vibration with feed rate.
  • Acceleration signals were analyzed to estimate harmonic amplitude and low-frequency integral.
  • Drill contact and breakthrough were identified by comparing signal components.
  • Harmonic amplitude was mapped to non-contact position sensor data tracking feed rate.

Main Results:

  • The dynamic model effectively estimated drilling depth in experiments.
  • The method demonstrated accuracy and stability on both handheld and robotic systems.
  • Mean maximum error was <15% for handheld devices and <5% for robotic systems.

Conclusions:

  • The presented dynamic model offers a reliable and accurate solution for drilling depth estimation.
  • This technique enhances surgical precision and safety in bone drilling procedures.
  • The method's effectiveness is validated across different drilling system types.