DocumentCode :
2976673
Title :
Three Dimensional Volume Measurement of Mouse Abdominal Fat in Magnetic Resonance Images
Author :
Chae, Yongsu ; Jeong, Myeong Gi ; Kim, Desok
Author_Institution :
Sch. of Eng., Inf. & Commun. Univ., Daejeon
fYear :
2007
fDate :
19-22 June 2007
Firstpage :
252
Lastpage :
255
Abstract :
Obesity adversely affects the health of people. Therapeutics against obesity could be validated by measuring the change of body fat tissues repeatedly in magnetic resonance (MR) images. In this study, an accurate method for three dimensional (3D) volume measurement of abdominal fat tissue has been developed for mouse MR images. The MR image was acquired by gradient echo technique and preprocessed by low pass filtering. 3D images were segmented by three-level adaptive thresholding based on the intensity histogram. Small objects were removed by erosion followed by binary reconstruction. Fat tissues were separated by ultimate erosion and individual labeling in 3D, followed by conditional dilation. Abdominal subcutaneous and visceral fat tissues were interactively classified and compared to manually obtained ground truth images. Measurement accuracy was greater than 83.4% for total body fat and 81.9% for abdominal visceral fat, showing the feasibility of routinely measuring the specific component of body fats in mice.
Keywords :
biomedical MRI; gradient methods; image segmentation; medical image processing; 3D volume measurement; adaptive thresholding; gradient echo technique; low pass filtering; magnetic resonance imaging; mouse abdominal fat tissue; obesity; Abdomen; Adaptive filters; Filtering; Histograms; Image segmentation; Low pass filters; Magnetic resonance; Magnetic separation; Mice; Volume measurement; Magnetic resonance imaging; morphology; three dimensional segmentation; thresholding; volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Application and Services, 2007 9th International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0942-X
Type :
conf
DOI :
10.1109/HEALTH.2007.381642
Filename :
4265836
Link To Document :
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