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 :
بازگشت