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Abstract #1271

Software for Fully Automatic Quantification of Abdominal Fat with Manual Correction Option: Evaluation in Morbidly Obese Patients

Gregor Thrmer1, Henriette Helene Bertram1, Veronika Peter2, Tatjana Schtz2, Edward Shang2, Matthias Blher3, Thomas Kahn1, Harald Busse1

1Dept. of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Saxony, Germany; 2Dept. of Visceral, Transplantation, Thoracic and Vascular Surgery, Section Bariatric Surgery, Leipzig University Hospital, Leipzig, Saxony, Germany; 3Dept. of Endocrinology and Nephrology, Leipzig University Hospital, Leipzig, Saxony, Germany

The risk of obesity-related diseases can be assessed by MRI estimates of the abdominal fat distribution. Computer-assisted techniques can be used for rapid image segmentation, but any unsupervised analysis is prone to errors caused by anatomical variations and artifacts, in particular for advanced stages of obesity. A custom-made software with a user interface for the rapid inspection of automatically segmented images was evaluated on the example of 20 extremely obese patients (mean BMI=44 kg/m2) and compared to manual processing by two observers. The presented software appears to be promising for accurate and time-effective fat quantification and larger segmentation errors can be easily corrected in the graphical user environment.

Keywords

abdomen abdominal accurate additional adipose adjusted advanced aged allows artifacts assessment automated automatic automatically background bottom boundaries buttons caused clustering coefficient combination computed considered consuming contain correction custom dedicated depiction depots dept developed diagnostic displayed double dragging dual easily endocrinology entire environment errors estimation evaluation examination explored exported fast featuring female formats fraction fully generally good graphical great green growing hold hospital identify illustrating inspection intensity interface intuitive intuitively invest like made male manual mask masks measures middle minutes morbidly mouse obese obesity option original overestimated overlaid particular patient patients pixel processing promise prone quality quantification quantify quantitative radiology rapid readers reduced required respectively restored running sample saved scrolling section segmentation selective semiautomatic sets short sixteen snakes software springer stage stages subcutaneous substantially sufficiently suited super supervised surgery systematically tends thoracic threshold thresholds tissue tool tools transplantation underwent unsupervised updates user variation variations vascular visceral visual volumes window windows year years