3D Symmetry Measure Invariant to Subject Pose during Image Acquisition
Autor: | Shi Yin Leung, Elisabeth K. Beahm, Mia K. Markey, Manas M. Kawale, Fatima A. Merchant, Juhun Lee, Melissa A. Crosby, Michelle Cororve Fingeret, Greg P Reece |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Cancer Research
media_common.quotation_subject Asymmetry Surgical planning lcsh:RC254-282 pBRA 030218 nuclear medicine & medical imaging surgical planning 03 medical and health sciences 0302 clinical medicine Quantitative assessment three-dimensional stereophotogrammetry Medicine Image acquisition Computer vision Invariant (mathematics) breast Original Research symmetry media_common validation business.industry Photography Torso subject pose lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.anatomical_structure Oncology 030220 oncology & carcinogenesis Artificial intelligence business Fiducial marker Biomedical engineering |
Zdroj: | Breast Cancer: Basic and Clinical Research, Vol 5 (2011) Breast Cancer : Basic and Clinical Research Breast Cancer: Basic and Clinical Research, Vol 2011, Iss 5, Pp 131-142 (2011) |
ISSN: | 1178-2234 |
Popis: | In this study we evaluate the influence of subject pose during image acquisition on quantitative analysis of breast morphology. Three (3D) and two-dimensional (2D) images of the torso of 12 female subjects in two different poses; (1) hands-on-hip (HH) and (2) hands-down (HD) were obtained. In order to quantify the effect of pose, we introduce a new measure; the 3D pBRA (Percentage Breast Retraction Assessment) index, and validate its use against the 2D pBRA index. Our data suggests that the 3D pBRA index is linearly correlated with the 2D counterpart for both of the poses, and is independent of the localization of fiducial points within a tolerance limit of 7 mm. The quantitative assessment of 3D asymmetry was found to be invariant of subject pose. This study further corroborates the advantages of 3D stereophotogrammetry over 2D photography. Problems with pose that are inherent in 2D photographs are avoided and fiducial point identification is made easier by being able to panoramically rotate the 3D surface enabling views from any desired angle. |
Databáze: | OpenAIRE |
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