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Related Concept Videos

Finding Volume Using Cross-Sectional Area01:24

Finding Volume Using Cross-Sectional Area

For solids whose cross-sectional areas vary in a predictable way, volume can be determined by integrating these areas along an axis perpendicular to the slices. This approach is particularly useful for polyhedral solids, where classical geometric formulas may not be immediately applicable. A tetrahedron provides a clear example of how cross-sectional integration can be applied to a three-dimensional object with continuously changing geometry.Consider a tetrahedron with height h and a base that...

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Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
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Breast volumetry using a three-dimensional surface assessment technique.

Martin C Koch1, Boris Adamietz, Sebastian M Jud

  • 1University Breast Center Franconia, Department of OB/Gyn, University Hospital Erlangen, Universitaetsstrasse 21-23, 91054, Erlangen, Germany.

Aesthetic Plastic Surgery
|April 14, 2011
PubMed
Summary
This summary is machine-generated.

A new 3D body surface scanning technique accurately predicts breast volume compared to MRI. This faster method is suitable for large-scale studies and potential clinical applications in breast surgery.

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Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Radiology

Background:

  • Breast volume is crucial for disease prevention, prediction, and aesthetic surgery.
  • Accurate breast volume measurement is essential for various medical applications.
  • Existing methods for breast volume assessment have limitations.

Purpose of the Study:

  • To evaluate a novel three-dimensional (3D) body surface scanning technique for breast volume assessment.
  • To compare the accuracy of 3D scanning with magnetic resonance imaging (MRI), the current standard.
  • To determine the feasibility and potential applications of the 3D scanning method.

Main Methods:

  • 22 women underwent both MRI and 3D body surface scanning.
  • Breast volumes were calculated from MRI scans by a radiologist.
  • 3D surface data was acquired using a calibrated digital texture camera.
  • 3D volumes were computed using specialized software after manual outlining and automated limit projection.
  • Linear regression analysis correlated MRI and 3D volume measurements.

Main Results:

  • MRI mean breast volumes were 442.8 ml (left) and 471.8 ml (right).
  • 3D scanning yielded mean volumes of 273.8 ml (observer A) and 226.2 ml (observer B) for the left breast, and 284.4 ml (observer A) and 234.9 ml (observer B) for the right.
  • Linear regression models showed R² values between 0.59-0.77.
  • 3D scanning and assessment took significantly less time (11.6 min) compared to MRI (68.0 min).

Conclusions:

  • 3D surface-based volume measurements are time-efficient and predict MRI breast volume with sufficient accuracy.
  • This technique shows promise for large-scale epidemiological studies focusing on breast volume.
  • Further development could enable the implementation of 3D scanning in breast surgery procedures.