Erik Stuhaug

Publications

• Photographic protocol for image acquisition in craniofacial microsomia.

  Carrie L Heike, Laura P Stueckle, Erik T Stuhaug, Luiz A Pimenta, Amelia F Drake, Daniela Vivaldi, Kathleen Cy Sie, Craig B Birgfeld

  Head & face medicine. 12/2011; 7:25.

  ABSTRACT: Craniofacial microsomia (CFM) is a congenital condition associated with orbital, mandibular, ear, nerve, and soft tissue anomalies. We present a standardized, two-dimensional, digital photographic protocol designed to capture the common craniofacial features associated with CFM.... [more] ABSTRACT: Craniofacial microsomia (CFM) is a congenital condition associated with orbital, mandibular, ear, nerve, and soft tissue anomalies. We present a standardized, two-dimensional, digital photographic protocol designed to capture the common craniofacial features associated with CFM.

• 3D digital stereophotogrammetry: a practical guide to facial image acquisition

  Carrie Heike, Kristen Upson, Erik Stuhaug, Seth Weinberg

  Head & Face Medicine. 01/2010;

  Abstract The use of 3D surface imaging technology is becoming increasingly common in craniofacial clinics and research centers. Due to fast capture speeds and ease of use, 3D digital stereophotogrammetry is quickly becoming the preferred facial surface imaging modality. These systems can serve as a... [more] Abstract The use of 3D surface imaging technology is becoming increasingly common in craniofacial clinics and research centers. Due to fast capture speeds and ease of use, 3D digital stereophotogrammetry is quickly becoming the preferred facial surface imaging modality. These systems can serve as an unparalleled tool for craniofacial surgeons, proving an objective digital archive of the patient's face without exposure to radiation. Acquiring consistent high-quality 3D facial captures requires planning and knowledge of the limitations of these devices. Currently, there are few resources available to help new users of this technology with the challenges they will inevitably confront. To address this deficit, this report will highlight a number of common issues that can interfere with the 3D capture process and offer practical solutions to optimize image quality.

• 3D digital stereophotogrammetry: a practical guide to facial image acquisition.

  Carrie L Heike, Kristen Upson, Erik Stuhaug, Seth M Weinberg

  Head & face medicine. 01/2010; 6:18.

  The use of 3D surface imaging technology is becoming increasingly common in craniofacial clinics and research centers. Due to fast capture speeds and ease of use, 3D digital stereophotogrammetry is quickly becoming the preferred facial surface imaging modality. These systems can serve as an unparall... [more] The use of 3D surface imaging technology is becoming increasingly common in craniofacial clinics and research centers. Due to fast capture speeds and ease of use, 3D digital stereophotogrammetry is quickly becoming the preferred facial surface imaging modality. These systems can serve as an unparalleled tool for craniofacial surgeons, proving an objective digital archive of the patient's face without exposure to radiation. Acquiring consistent high-quality 3D facial captures requires planning and knowledge of the limitations of these devices. Currently, there are few resources available to help new users of this technology with the challenges they will inevitably confront. To address this deficit, this report will highlight a number of common issues that can interfere with the 3D capture process and offer practical solutions to optimize image quality.
• 2.74

  Impact points

  Picture perfect? Reliability of craniofacial anthropometry using three-dimensional digital stereophotogrammetry.

  Carrie L Heike, Michael L Cunningham, Anne V Hing, Erik Stuhaug, Jacqueline R Starr

  Plastic and reconstructive surgery. 10/2009; 124(4):1261-72.

  BACKGROUND: Quantification of facial characteristics is important for research in dysmorphology, otolaryngology, oral and maxillofacial, and plastic surgical disciplines, among others. Three-dimensional surface imaging systems offer a quick and practical method for quantifying craniofacial variation... [more] BACKGROUND: Quantification of facial characteristics is important for research in dysmorphology, otolaryngology, oral and maxillofacial, and plastic surgical disciplines, among others. Three-dimensional surface imaging systems offer a quick and practical method for quantifying craniofacial variation and appear to be highly reliable. However, some sources of measurement error have not yet been thoroughly evaluated. METHODS: The authors assessed the reliability of using stereophotogrammetry for measuring craniofacial characteristics in 40 individuals, including 20 without craniofacial conditions and 20 with 22q11.2 deletion syndrome. The authors recruited staff and relatives of staff, and individuals with a laboratory-confirmed 22q11.2 deletion. Thirty anthropometric measurements were obtained on participants and on three-dimensional images. RESULTS: Intrarater and interrater reliability for most interlandmark distances on three-dimensional images had intraclass correlation coefficients greater than 95 percent, mean absolute differences of less than 1 mm, relative error measurement less than 5, and technical error of measurement less than 1 mm. The Pearson correlation coefficients of greater than 0.9 for most distances suggest high intermethod reliability between direct and image-based measurements. Three-dimensional image-based measurements were systematically larger for the head length and width, forehead, and skull base widths, and upper and lower facial widths. CONCLUSIONS: This study provides further evidence of the high reliability of three-dimensional imaging systems for several craniofacial measurements, including landmarks and interlandmark distances not included in previous studies. The authors also discuss possible errors introduced with palpable landmarks and when working with less compliant participants, such as children. The authors offer guidelines for establishing protocols that can be tailored to each population and research question to maximize the accuracy of image-based measurements.