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A three-dimensional algorithm for precise measurement of human auricle parameters

  • Department of Plastic, Amsterdam, Netherlands
  • Amsterdam UMC location University of Amsterdam
  • Amsterdam Reproduction and Development Research Institute
  • Department of Biomedical Engineering and Physics
  • Musculoskeletal Health-Restoration and Development
  • Department of Orthopedic Surgery and Sports Medicine
  • University of Amsterdam
  • Department of Medical Biology
  • Gynaecologic Oncology, Amsterdam UMC Location AMC, Amsterdam, North Holland, Netherlands
  • Department of Gynaecology and Amsterdam Reproduction and Development

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Measurement of auricle parameters for planning and post-operative evaluation presents substantial challenges due to the complex 3D structure of the human auricle. Traditional measurement methods rely on manual techniques, resulting in limited precision. This study introduces a novel automated surface-based three-dimensional measurement method for quantifying human auricle parameters. The method was applied to virtual auricles reconstructed from Computed Tomography (CT) scans of a cadaver head and subsequent measurement of important clinically relevant aesthetical auricular parameters (length, width, protrusion, position, auriculocephalic angle, and inclination angle). Reference measurements were done manually (using a caliper and using a 3D landmarking method) and measurement precision was compared to the automated method. The CT scans were performed using both a contemporary high-end and a low-end CT scanner. Scans were conducted at a standard scanning dose, and at half the dose. The automatic method demonstrated significantly higher precision in measuring auricle parameters compared to manual methods. Compared to traditional manual measurements, precision improved for auricle length (9×), width (5×), protrusion (5×), Auriculocephalic Angle (5-54×) and posteroanterior position (23×). Concerning parameters without comparison with a manual method, the precision level of supero-inferior position was 0.489 mm; and the precisions of the inclination angle measurements were 1.365 mm and 0.237 mm for the two automated methods investigated. Improved precision of measuring auricle parameters was associated with using the high-end scanner. A higher dose was only associated with a higher precision for the left auricle length. The findings of this study emphasize the advantage of automated surface-based auricle measurements, showcasing improved precision compared to traditional methods. This novel algorithm has the potential to enhance auricle reconstruction and other applications in plastic surgery, offering a promising avenue for future research and clinical application.

Original languageEnglish
Article number10760
Pages (from-to)10760
JournalScientific reports
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2024

Keywords

  • 3D Image analysis
  • Auricle parameters
  • CT-imaging
  • Objective measurement
  • Precision

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