title: Automatic detection of local arterial input functions through Independent Component Analysis on Dynamic Contrast enhanced Magnetic Resonance Imaging.
abstract: Arterial Input Function (AIF) is obtained from perfusion studies as a basic parameter for the calculus of hemodynamic variables used as surrogate markers of the vascular status of tissues. However, at present, its identification is made manually leading to high subjectivity, low repeatability and considerable time consumption. We propose an alternative method to automatically identify local AIF in perfusion images using Independent Component Analysis.
authors.forename: Mario
authors.initials: M
authors.lastname: Narvaez
authors.forename: Silvia
authors.initials: S
authors.lastname: Ruiz-Espana
authors.forename: Estanislao
authors.initials: E
authors.lastname: Arana
authors.forename: David
authors.initials: D
authors.lastname: Moratal
mesh_terms: D000465:Algorithms; D001158:Arteries; D001331:Automation; D003287:Contrast Media; D008279:Magnetic Resonance Imaging
chemical_list: D003287:Contrast Media