Paper Info
Title
Computation of breast ptosis from 3D surface scans of the female torso.
Abstract
Stereophotography is now finding a niche in clinical breast surgery, and several methods for quantitatively measuring breast morphology from 3D surface images have been developed. Breast ptosis (sagging of the breast), which refers to the extent by which the nipple is lower than the inframammary fold (the contour along which the inferior part of the breast attaches to the chest wall), is an important morphological parameter that is frequently used for assessing the outcome of breast surgery. This study presents a novel algorithm that utilizes three-dimensional (3D) features such as surface curvature and orientation for the assessment of breast ptosis from 3D scans of the female torso. The performance of the computational approach proposed was compared against the consensus of manual ptosis ratings by nine plastic surgeons, and that of current 2D photogrammetric methods. Compared to the 2D methods, the average accuracy for 3D features was ~13% higher, with an increase in precision, recall, and F-score of 37%, 29%, and 33%, respectively. The computational approach proposed provides an improved and unbiased objective method for rating ptosis when compared to qualitative visualization by observers, and distance based 2D photogrammetry approaches.
Year
DOI
Venue
2016
10.1016/j.compbiomed.2016.09.002
Computers in Biology and Medicine
Keywords
Field
DocType
3D image,Stereophotogrammetry,Breast surgery,Gaussian curvature,Orientation,Histogram matching, Breast ptosis,Classification
Torso,Photogrammetry,Computer vision,Breast surgery,Inframammary fold,Ptosis,Stereophotography,Artificial intelligence,Objective method,Medicine,3d image
Journal
Volume
ISSN
Citations 
78
0010-4825
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Danni Li100.34
Audrey Cheong200.34
Gregory P Reece301.35
Melissa A. Crosby441.90
Michelle Fingeret501.69
Fatima A. Merchant612.76