Morphological segmentation for sagittal plane image analysis

F N Bezerra; I C Paula; F S Medeiros; D M Ushizima; L S Cintra

doi:10.1109/IEMBS.2010.5626637

Morphological segmentation for sagittal plane image analysis

Annu Int Conf IEEE Eng Med Biol Soc. 2010:2010:4773-6. doi: 10.1109/IEMBS.2010.5626637.

Authors

F N Bezerra¹, I C Paula, F S Medeiros, D M Ushizima, L S Cintra

Affiliation

¹ Federal Center of Technology Education, Fortaleza, CE, Brazil. nivando@ifce.edu.hr

PMID: 21096251
DOI: 10.1109/IEMBS.2010.5626637

Abstract

This paper introduces a morphological image segmentation method by applying watershed transform with markers to scale-space smoothed images and furthermore provides images for clinical monitoring and analysis of patients. The database comprises sagittal plane images taken from a digital camera of patients submitted to Global Postural Reeducation (GPR) physiotherapy treatment. Orthopaedic specialists can use these segmented images to diagnose posture problems, assess physiotherapy treatment evolution and thus reduce diagnostic errors due to subjective analysis.

MeSH terms

Algorithms*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique*
Whole Body Imaging / methods*