Title :
Performance Evaluation of Abdominal Fat Burden Quantification in CT
Author :
Bandekar, Alok N. ; Naghavi, Morteza ; Kakadiaris, Ioannis A.
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX
Abstract :
Abdominal fat accumulation is an important cardiovascular risk factor. In clinical practice, delineation of subcutaneous and visceral fat is performed manually by an expert. This procedure is labor intensive, time consuming, and subject to inter- and intra-observer variability. In this paper, we present an extension of our previous work on automatic fat burden quantification and classification. Our improved method automatically differentiates abdominal fat into subcutaneous and visceral fat components and removes equipment-related artifacts. We evaluated the performance of our method using data from 40 subjects with very encouraging results
Keywords :
biological tissues; cardiovascular system; computerised tomography; image classification; medical image processing; CT; abdominal fat accumulation; abdominal fat burden quantification; cardiovascular risk factor; equipment-related artifacts; fat classification; interobserver variability; intraobserver variability; subcutaneous fat; visceral fat; Abdomen; Attenuation; Biomedical computing; Biomedical imaging; Cardiology; Computed tomography; Computer errors; Humans; Immune system; Magnetic resonance imaging;
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.2005.1617177