DocumentCode :
3132035
Title :
Mosaic image segmentation with bias field correction
Author :
Yang, G.Z. ; Myerson, S. ; Chabat, F.
Author_Institution :
Magnetic Resonance Unit, R. Brompton Hosp., London, UK
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
861
Abstract :
This paper presents an automatic method of correcting nonuniform RF coil response for the classification of body composition using MR imaging. By linear mosaic modelling, the smoothly but nonlinearly varying bias field which modulates tissue intensities within the image was corrected. The overlapping between adjacent mosaics ensured consistent segmentation of body fat content and the effectiveness of the technique was validated by both phantom and in vivo experiments. Ten whole body composition data sets, each with 39 trans-axial slices, were acquired. Automatic segmentation results using the proposed technique were compared with those from manual delineations. The automatic segmentation method was found to be highly accurate and the mean percentage error between the two methods was less than 1.5%
Keywords :
biomedical MRI; MRI; adipose tissue segmentation; automatic segmentation method; bias field correction; body composition classification; body fat content; in vivo experiments; linear mosaic modelling; magnetic resonance imaging; mosaic image segmentation; nonlinearly varying bias field; nonuniform RF coil response correction; phantom experiments; tissue intensities;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location :
Manchester
Print_ISBN :
0-85296-717-9
Type :
conf
DOI :
10.1049/cp:19990447
Filename :
791185
Link To Document :
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