Search

Your search keyword '"Monica Sigovan"' showing total 2 results
Start Over Author "Monica Sigovan" Publisher biomed central
2 results on '"Monica Sigovan"'

1. Improved quantification of abnormal aortic flow in 3D compared to standard 2D approach

Author

Michael D. Hope, Petter Dyverfeldt, Jarrett Wrenn, David Saloner, and Monica Sigovan

Subjects
Aortic valve disease, Medicine(all), medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, Radiological and Ultrasound Technology, business.industry, Aortic flow, medicine.disease, Bioinformatics, Text mining, Bicuspid aortic valve, lcsh:RC666-701, Internal medicine, Poster Presentation, medicine, Cardiology, cardiovascular system, Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine, business, Angiology
Abstract

Author(s): Sigovan, Monica; Hope, Michael D; Wrenn, Jarrett; Dyverfeldt, Petter; Saloner, David

Published
2013

2. Reproducibility of quantitative analysis of aortic 4D flow data

Author

David Saloner, Monica Sigovan, Petter Dyverfeldt, Jarrett Wrenn, and Michael D. Hope

Subjects
Medicine(all), lcsh:Diseases of the circulatory (Cardiovascular) system, Reproducibility, medicine.medical_specialty, Radiological and Ultrasound Technology, business.industry, Hemodynamics, Blood flow, computer.software_genre, Flow (mathematics), lcsh:RC666-701, Poster Presentation, cardiovascular system, Shear stress, Medicine, Radiology, Nuclear Medicine and imaging, Data mining, Cardiology and Cardiovascular Medicine, business, Quantitative analysis (chemistry), Displacement (fluid), computer, Biomedical engineering, Angiology
Abstract

Background 3D cine phase-contrast CMR ("4D Flow”) permits quantitative assessment of anomalous alterations of aortic blood flow. Two hemodynamic parameters that have been used for this purpose is the wall shear stress (WSS), which is known to regulate endothelial cell function, and the normalized flow displacement from the vessel center, which was recently shown to correlate with increased growth rates of ascending aortic dilation [1,2]. Analysis of these hemodynamic parameters requires that a user 1) positions a 2D plane of interest in the volumetric 4D Flow dataset and 2) delineates the contour of the vascular lumen in this 2D plane. We set out to assess the reproducibility of 4D Flow-based estimation of WSS and normalized flow displacement at these two critical levels of user-interaction. Furthermore, we assessed which of the parameters correlate best with aortic growth.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results