Abstract
Background Phase contrast magnetic resonance imaging (PC-MRI) is the current gold standard for blood flow quantification. Using this technique it is possible to quantify cardiac output, stroke volume, shunts and valve insufficiencies. The accuracy of flow quantification is highly dependent on the manual delineation of the vessels of interest. Therefore, the purpose of this study is to develop an automatic method for vessel segmentation in PC-MRI sequences.
Highlights
Phase contrast magnetic resonance imaging (PC-MRI) is the current gold standard for blood flow quantification
A new method for vessel segmentation based on a priori input from medical expertise in cine phase-contrast Magnetic Resonance Imaging
The purpose of this study is to develop an automatic method for vessel segmentation in PC-MRI sequences
Summary
A new method for vessel segmentation based on a priori input from medical expertise in cine phase-contrast Magnetic Resonance Imaging. Sebastian L Bidhult1*, Marcus Carlsson, Katarina Steding-Ehrenborg, Håkan Arheden, Einar Heiberg. From 17th Annual SCMR Scientific Sessions New Orleans, LA, USA. From 17th Annual SCMR Scientific Sessions New Orleans, LA, USA. 16-19 January 2014
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