DocumentCode
2366994
Title
Segmentation of QUS images of the calcaneus using elastic deformation of flexible Fourier contour
Author
Laugier, Pascal ; Lefebvre, Françoise ; Roux, Christian ; Berger, Geneviève
Author_Institution
LIP, CNRS-Univ. Paris 6, France
Volume
2
fYear
2001
fDate
2001
Firstpage
1225
Abstract
This study investigates a new technique for automatic model-based segmentation of quantitative ultrasound images of the calcaneus. The segmentation process included two major steps : a model building stage derived from interactive segmentation of a sample set of 52 training images and the automatic segmentation of new image data sets via an elastic deformation of contour models. The clinical validation on a database of 256 patients showed that fully automatic segmentation by parametrically deformable elastic models for contour using Fourier descriptors can be achieved with reasonable reproducibility and fracture risk prediction
Keywords
biomedical ultrasonics; bone; elastic deformation; image segmentation; QUS images; automatic model-based segmentation; automatic segmentation; calcaneus; contour models; elastic deformation; flexible Fourier contour; fracture risk prediction; interactive segmentation; model building stage; parametrically deformable elastic models; quantitative ultrasound images; reproducibility; Attenuation measurement; Bones; Deformable models; Image databases; Image segmentation; Predictive models; Prototypes; Reproducibility of results; Ultrasonic imaging; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 2001 IEEE
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-7177-1
Type
conf
DOI
10.1109/ULTSYM.2001.991940
Filename
991940
Link To Document