Cephalometric landmarks identification using probabilistic relaxation

Author

Favaedi, Leila ; Petrou, Maria

Author_Institution

Dept. of Electr. & Electron. Eng. Commun., Imperial Coll., London, UK

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4391

Lastpage

4394

Abstract

In this paper, we develop methodology to locate cephalometric landmarks on X-ray images based on probabilistic relaxation, which combines local contextual information from the general shape of the bones of the head (used as measurements specific to each landmark in the form of its shape context) and relational information, expressing the relative position of the landmarks with respect to each other.

Keywords

bone; diagnostic radiography; feature extraction; medical image processing; shape recognition; X-ray images; cephalometric landmarks identification; general bone shape; local contextual information; probabilistic relaxation; relational information; shape context; Computational modeling; Context; Feature extraction; Image edge detection; Probabilistic logic; Shape; X-ray imaging; Algorithms; Cephalometry; Computer Simulation; Data Interpretation, Statistical; Humans; Models, Anatomic; Models, Statistical; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Skull; Subtraction Technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627141

Filename

5627141