Fat Quantification in the Abdomen
نویسندگان
چکیده
منابع مشابه
Regional Whole Body Fat Quantification in Mice
Obesity has risen to epidemic levels in the United States and around the world. Global indices of obesity such as the body mass index (BMI) have been known to be inaccurate predictors of risk of diabetes, and it is commonly recognized that the distribution of fat in the body is a key measure. In this work, we describe the early development of image analysis methods to quantify regional body fat...
متن کاملSemi-automatic quantification of the epicardial fat in CT images
In this work we present a technique to automatically or semi-automatically quantify the epicardial fat in noncontrasted Computed Tomography (CT) images. In CT images, the epicardial fat is very close to the pericardial fat, distincted only by the pericardium. The pericardium appears in the image as a very thin line, very hard to discriminate. To enhance the pericardium line and to remove noise ...
متن کاملQuantification of intragastric fat distribution using IDEAL
Introduction: The increase in foodand nutrition-related diseases over recent years has prompted an increase in research efforts to understand how food emulsion systems are sensed, processed and digested in the gastrointestinal (GI) tract. MRI has evolved as a promising imaging modality to separate water and fat based on multi-echo acquisitions and to visualize aspects of human GI function using...
متن کاملOPEN MANAGEMENT OF THE SEPTIC ABDOMEN
Severe intraabdominal infection associated with abdominal wall, intraperitoneal and remote organ complications, still carries an unacceptably high morality rate. In addition to the fundamental principle of eradication of the source of infection, various treatment modalities have been suggested to improve the commonly grave outcome. Amongst these, open management (OM) of the septic abdomen,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Topics in Magnetic Resonance Imaging
سال: 2017
ISSN: 0899-3459
DOI: 10.1097/rmr.0000000000000141