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Purpose <p>Conventional imaging modalities, including MRI and ultrasonography, often fail to depict the intricate anatomy of the elbow in sufficient detail. This study presents high-resolution sectional and surface anatomical images to enhance understanding of elbow morphology and aid interpretation of MRI and ultrasound in clinical practice.</p> Methods <p>Sectioned images of a male cadaver from the Visible Korean dataset were analyzed. The cadaver was sectioned horizontally at 0.2-mm intervals and photographed to produce high-resolution (3040 × 2008 pixels), true-color images. Coronal and sagittal reconstructions were generated to visualize elbow structures. Bones, muscles, blood vessels, and nerves were identified and traced across multiple planes, and the resulting images were compared with corresponding ultrasound views to confirm spatial correlations.</p> Results <p>The images revealed various elbow structures in great detail. Horizontal images displayed muscle origins and insertions, and ligament orientations, while coronal images highlighted the relationships between tendons and ligaments. Sagittal images distinctly showed the articulation of the humeroulnar and humeroradial joints. Additionally, illustrations of surface anatomy facilitated the correlation with clinical ultrasound images. No significant anatomical variations were observed compared to established literature.</p> Conclusion <p>The high-resolution anatomical images presented in this study enhance understanding of elbow anatomy and facilitate MRI and ultrasound interpretation. These resources can support more accurate diagnosis and treatment of elbow disorders and serve as effective educational tools for medical trainees.</p>

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Identification of elbow joint structures on cadaver sectioned images in various planes for radiologic analysis

  • 期刊论文

  • 发表日期：

    2025年9月24日

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  • Minji Kim,
  • Hyeonguk Choi,
  • Beom Sun Chung

摘要

Purpose

Conventional imaging modalities, including MRI and ultrasonography, often fail to depict the intricate anatomy of the elbow in sufficient detail. This study presents high-resolution sectional and surface anatomical images to enhance understanding of elbow morphology and aid interpretation of MRI and ultrasound in clinical practice.

Methods

Sectioned images of a male cadaver from the Visible Korean dataset were analyzed. The cadaver was sectioned horizontally at 0.2-mm intervals and photographed to produce high-resolution (3040 × 2008 pixels), true-color images. Coronal and sagittal reconstructions were generated to visualize elbow structures. Bones, muscles, blood vessels, and nerves were identified and traced across multiple planes, and the resulting images were compared with corresponding ultrasound views to confirm spatial correlations.

Results

The images revealed various elbow structures in great detail. Horizontal images displayed muscle origins and insertions, and ligament orientations, while coronal images highlighted the relationships between tendons and ligaments. Sagittal images distinctly showed the articulation of the humeroulnar and humeroradial joints. Additionally, illustrations of surface anatomy facilitated the correlation with clinical ultrasound images. No significant anatomical variations were observed compared to established literature.

Conclusion

The high-resolution anatomical images presented in this study enhance understanding of elbow anatomy and facilitate MRI and ultrasound interpretation. These resources can support more accurate diagnosis and treatment of elbow disorders and serve as effective educational tools for medical trainees.