Conference Agenda
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MED 2: Methods For Medical Applications 2 Location: De Carli Session Chair: Prof. Michele Calì, Electric Electronics and Computer Engineering Department, University of Catania Session Chair: Dr. Maria Antonella Messina, Kore University of Enna | |
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Enhancing DICOM-Based Surgical Assessment with CFD-Derived Functional Stagnation Mapping in Abdominal Aortic Pathologies 1: Department of Engineering, University of Messina, Messina, Italy; 2: Division of Vascular Surgery, Department of Biomorphological Sciences, University of Messina, Messina, Italy Abdominal aortic diseases are commonly assessed through Computed Tomogra-phy (CT) and Computed Tomography Angiography (CTA), which provide de-tailed anatomical information on aneurysmal dilatation, stenosis, thrombus for-mation, and aorto-iliac involvement. However, standard image-based evaluation remains mainly morphological and does not directly describe local blood-flow stagnation, recirculation, or altered flow organization. In this work, a patient-specific Computational Fluid Dynamics (CFD) workflow is proposed to com-plement Digital Imaging and Communications in Medicine (DICOM)-based ana-tomical assessment with functional hemodynamic information. Three abdominal aortic models were analyzed: a healthy reference aorta, a stenotic/thrombotic con-figuration, and an Abdominal Aortic Aneurysm (AAA). The pathological geome-tries were reconstructed from contrast-enhanced arterial-phase CT images and simulated in Simcenter STAR-CCM+ using the same inlet waveform and three-element Windkessel outlet parameters. After verification of the pressure response in the healthy model, a new post-processing approach, named Functional Stagna-tion Mapping (FSM), was applied to the pathological cases to visualize low-velocity core regions while excluding the near-wall low-speed layer. The results are presented through three-dimensional FSM maps, two-dimensional slices at critical sections, and streamline analysis. The proposed approach highlights slow-flow and recirculating regions that are not directly evident from DICOM mor-phology alone, providing an intuitive CFD-derived functional layer for the inter-pretation of complex abdominal aortic pathologies. | |