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Estimating Blood Flow Based on 2D Angiographic Image Sequences
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) |
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ID |
4626983 |
Author(s) |
Alassi, Sepideh; Kowarschik, Markus; Pohl, Thomas; Köstler, Harald; Rüde, Ulrich |
Author(s) at UniBasel |
Alassi, Sepideh
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Year |
2012 |
Title |
Estimating Blood Flow Based on 2D Angiographic Image Sequences |
Book title (Conference Proceedings) |
Bildverarbeitung für die Medizin 2012 |
Place of Conference |
Charité, Berlin, Germany |
Year of Conference |
2012 |
Publisher |
Informatik aktuell. Springer, Berlin, Heidelberg |
Pages |
380-385 |
Mesh terms |
Medical Image Processing, blood flow estimation, flow quantification, angiography |
Abstract |
The assessment of hemodynamics based on medical image data represents an attractive means in order to enhance diagnostic imaging capabilities, to evaluate clinical outcomes of therapies focusing on the patient's vascular system, as well as to guide minimally invasive interventional procedures in the catheter lab. We present a first evaluation along with comparisons of algorithmic approaches towards the quantitative determination of blood flow based on 2D angiography image data. |
URL |
https://link.springer.com/chapter/10.1007/978-3-642-28502-8_66 |
Digital Object Identifier DOI |
10.1007/978-3-642-28502-8_66 |
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