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Dokumenttyp:
Zeitungsartikel 
Autor(en):
Biehler J., Kehl S., Gee M. W., Tanios F., Pelisek J., Maier A., Reeps C., Eckstein H.-H., Wall W.A. 
Titel:
Probabilistic Non-Invasive Prediction of Wall Properties of Abdominal Aortic Aneurysms Using Bayesian Regression 
Abstract:
Abstract Multiple patient-specific parameters such as wall thickness, wall strength, and constitutive proper- ties, are required for the computational assessment of abdominal aortic aneurysm (AAA) rupture risk. Unfor- tunately, many of these quantities are not easily acces- sible and could only be determined by invasive proce- dures, rendering a computational rupture risk assess- ment obsolete. This study investigates two different approaches to predict these quantities using regression models...    »
 
Stichworte:
abdominal aortic aneurysm, Bayesian, regression, wall properties 
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften 
Zeitschriftentitel:
Biomechanics and Modeling in Mechanobiology 
Jahr:
2016 
Band / Volume:
16 
Quartal:
2. Quartal 
Heft / Issue:
Seitenangaben Beitrag:
45--61 
Reviewed:
ja 
Sprache:
en 
WWW:
_blank 
Status:
Verlagsversion / published 
Publikationsdatum:
03.06.2016 
Format:
Text 
Publikationsdatum:
03.06.2016