The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position

Information

• Publication Type: Journal Paper with Conference Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: September 2019
• Journal: Eurographics Workshop on Visual Computing for Biology and Medicine (2019)
• Volume: 9
• Lecturer: Eric Mörth
• Event: Eurographics Workshop on Visual Computing for Biology and Medicine (2019)
• DOI: 10.2312/vcbm.20191245
• Call for Papers: Call for Paper
• Conference date: 2019
• Pages: 201 – 205

Abstract

Three-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal screening. Screening the development of the fetus is important to assess possible complications early on. State of the art approaches involve taking standardized measurements to compare them with standardized tables. The measurements are taken in a 2D slice view, where precise measurements can be difficult to acquire due to the fetal pose. Performing the analysis in a 3D view would enable the viewer to better discriminate between artefacts and representative information. Additionally making data comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by standardization. With this paper, we introduce a novel approach to provide a standardization method for 3D ultrasound fetus screenings. Our approach is called “The Vitruvian Baby” and incorporates a complete pipeline for standardized measuring in fetal 3D ultrasound. The input of the method is a 3D ultrasound screening of a fetus and the output is the fetus in a standardized T-pose. In this pose, taking measurements is easier and comparison of different fetuses is possible. In addition to the transformation of the 3D ultrasound data, we create an abstract representation of the fetus based on accurate measurements. We demonstrate the accuracy of our approach on simulated data where the ground truth is known.

Additional Files and Images

Weblinks

• Entry in the publication database of TU-Wien
• DOI: 10.2312/vcbm.20191245

BibTeX

@article{vitruvian_2019,
  title =      "The Vitruvian Baby: Interactive Reformation of Fetal
               Ultrasound Data to a T-Position",
  author =     "Eric M\"{o}rth and Renata Raidou and Ivan Viola and Noeska
               Natasja Smit",
  year =       "2019",
  abstract =   "Three-dimensional (3D) ultrasound imaging and visualization
               is often used in medical diagnostics, especially in prenatal
               screening. Screening the development of the fetus is
               important to assess possible complications early on. State
               of the art approaches involve taking standardized
               measurements to compare them with standardized tables. The
               measurements are taken in a 2D slice view, where precise
               measurements can be difficult to acquire due to the fetal
               pose. Performing the analysis in a 3D view would enable the
               viewer to better discriminate between artefacts and
               representative information. Additionally making data
               comparable between different investigations and patients is
               a goal in medical imaging techniques and is often achieved
               by standardization. With this paper, we introduce a novel
               approach to provide a standardization method for 3D
               ultrasound fetus screenings. Our approach is called “The
               Vitruvian Baby” and incorporates a complete pipeline for
               standardized measuring in fetal 3D ultrasound. The input of
               the method is a 3D ultrasound screening of a fetus and the
               output is the fetus in a standardized T-pose. In this pose,
               taking measurements is easier and comparison of different
               fetuses is possible. In addition to the transformation of
               the 3D ultrasound data, we create an abstract representation
               of the fetus based on accurate measurements. We demonstrate
               the accuracy of our approach on simulated data where the
               ground truth is known. ",
  month =      sep,
  journal =    "Eurographics Workshop on Visual Computing for Biology and
               Medicine (2019)",
  volume =     "9",
  doi =        "10.2312/vcbm.20191245",
  pages =      "201--205",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/",
}