Title :
Assessment of Adipose Tissue from Whole Body 3T MRI Scans
Author :
Song, Ting ; An, Jing ; Chen, Qun ; Lee, Vivian ; Laine, Andrew
Author_Institution :
Dept. of Biomed. Eng., Columbia Univ., New York, NY
Abstract :
Accurate assessment of total body and the distribution of regional adipose tissue is a critical problem emerging in the United States. Using manual segmentation of MRI scanned images is a problem due to the high variation between manual delineations. Manual segmentation also requires highly trained experts with knowledge of anatomy. In this study, we used a specific water saturation sequence and histogram based segmentation method that provides robust delineation results for adipose tissue from whole body MRI scans. Both phantom and human subject studies were performed. Compared with a standard clinical T1-weighted acquisition, our method appears to give superior quantitative results
Keywords :
biological tissues; biomedical MRI; image segmentation; medical image processing; phantoms; adipose tissue; clinical T1-weighted acquisition; histogram-based segmentation method; human subject; manual segmentation; phantom; robust delineation; specific water saturation sequence; whole body 3T MRI scans; Anatomy; Animal structures; Computed tomography; Diabetes; Drugs; Histograms; Humans; Image segmentation; Magnetic resonance imaging; Robustness;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616120
