Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Automated Segmentation of Visceral Adiposity in MRI in Obese Children
verfasst von : Manuel Graña, Oier Echaniz, Beatriz Rodriguez-Vigil, Idoia Labayen
Erschienen in: Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Children obesity is a growing concern in the healthcare system, because a life of dependence and cronic health problems results in the adult phase of life. Non-alcoholic liver fat and visceral adiposity are two biomarkers of the health status of the child. Some studies try to measure the impact of exercise and improved habits in the reduction of these biomarkers. The studies use a fat enhancing magnetic resonance imaging sequence, but visceral fat is difficult to segment manually. In this paper we describe the automated process that we have devised, providing some visual results. The process has three main phases: (a) image inhomogeneity correction, (b) removal of spurious features such as arms and navel, (c) identification of the peripheral and visceral volumes, (d) localization of the intervertebral disks, which need to be removed. As there is no manual tracing to use as gold standard, we can not provide quantitative performance measures.