title: Calcification detection of abdominal aorta in CT images and 3D visualization in VR devices.
abstract: Automatic calcification detection in abdominal aorta consists of a set of computer vision techniques to quantify the amount of calcium that is found around this artery. Knowing that information, it is possible to perform statistical studies that relate vascular diseases with the presence of calcium in these structures. To facilitate the detection in CT images, a contrast is usually injected into the circulatory system of the patients to distinguish the aorta from other body tissues and organs. This contrast increases the absorption of X-rays by human blood, making it easier the measurement of calcifications. Based on this idea, a new system capable of detecting and tracking the aorta artery has been developed with an estimation of the calcium found surrounding the aorta. Besides, the system is complemented with a 3D visualization mode of the image set which is designed for the new generation of immersive VR devices.
authors.forename: Jose A
authors.initials: JA
authors.lastname: Garcia-Berna
authors.forename: Juan M
authors.initials: JM
authors.lastname: Sanchez-Gomez
authors.forename: Judith
authors.initials: J
authors.lastname: Hermanns
authors.forename: Gines
authors.initials: G
authors.lastname: Garcia-Mateos
authors.forename: Jose L
authors.initials: JL
authors.lastname: Fernandez-Aleman
mesh_terms: D001012:Aorta, Abdominal / Q000000981:diagnostic imaging* / Q000502:physiology; D001331:Automation; D002114:Calcinosis / Q000175:diagnosis*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D014057:Tomography, X-Ray Computed