Digital image processing algorithms for diagnosis in arterial diseases. Issue 1 (21st October 2015)

• Record Type: Journal Article
• Authors: Costarelli, Danilo; Seracini, Marco; Vinti, Gianluca
• Is Part Of: Proceedings in applied mathematics and mechanics. Volume 15:Issue 1(2015)
• Page Start: 669
• Page End: 670
• Publication Date: 2015-10-21
• Subjects: Applied mathematics -- Periodicals; Engineering mathematics -- Periodicals; Mathematical physics -- Periodicals; 519
• DOI: 10.1002/pamm.201510324
• Languages: English
• ISSNs: 1617-7061

Abstract

Abstract: Computed Tomography images (C.T.) are currently part of the routine procedure in medical diagnostic techniques and can be used for the evaluation of occlusion rate of arterial vessels in presence of many diseases. The correct individuation of the morphology of these arterial anomalies allows specialists to diagnose the risk rate for the health of patients and to decide for surgical stent implants. Multivariate sampling Kantorovich operators are suitable for studying not necessarily continuos signals/images as the ones involved in the medical field. Convergent results for such a family of discrete operators translate into reconstruction and even enhancement of a given signal/image increasing the sampling rate. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)