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Automatic Tool for Pulmonary Artery Hemodynamic Assessment from 4D flow MRI

文献类型: 会议论文

第一作者: Maialen Stephens

作者: Maialen Stephens 1 ; ángel Gaitán 2 ; Rahul Kumar 3 ; Jorge Nuche 2 ; Irene Marco 2 ; Juan Delgado 2 ; Jesús Ruíz-Cabello 4 ; Karen López-Linares 5 ; Javier Bóbeda 6 ; Haizea Erostarbe 6 ;

作者机构: 1.Basque Research and Technology Alliance, Vicomtech, Spain|BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain|Biodonostia Health Research Institute, Spain

2.Servicio de Cardiología Hospital 12 de Octubre y CIBERCV, Spain

3.CIC BiomaGUNE, Basque Research and Technology Alliance, Spain

4.CIC BiomaGUNE, Basque Research and Technology Alliance, Spain|Departamento de Química en Ciencias Farmacéuticas, CIBERES, Ikerbasque, Basque Foundation for Science, Universidad Complutense de Madrid, Spain

5.Basque Research and Technology Alliance, Vicomtech, Spain|Biodonostia Health Research Institute, Spain

6.Basque Research and Technology Alliance, Vicomtech, Spain

关键词: Training;Image segmentation;Computational fluid dynamics;Magnetic resonance imaging;Computational modeling;Biological system modeling;Lung

会议名称: IEEE International Symposium on Biomedical Imaging

主办单位:

页码: 1-5

摘要: Currently, the extraction of blood flow biomarkers to characterize diseases is a time consuming process as it requires the manual segmentation of vascular structures and complex computational fluid dynamics (CFD) simulations. Here, we propose a tool to automatically segment the pulmonary artery and to compute biomarkers from 4D flow magnetic resonance images. In the context of Pulmonary Hypertension (PH), we show that biomarkers such as peak velocity, flow rate, helicity and vorticity provide discriminative power between patient groups and are derived in a faster and simpler way than traditional methods.

分类号: tp391.4

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