Semi-automatic vortex extraction in 4D PC-MRI cardiac blood flow data using line predicates

Cardiovascular diseases (CVD) are the leading cause of death worldwide. Their initiation and evolution depends strongly on the blood flow characteristics. In recent years, advances in 4D PC-MRI acquisition enable reliable and time-resolved 3D flow measuring, which allows a qualitative and quantitati...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 19(2013), 12 vom: 13. Dez., Seite 2773-82
1. Verfasser: Köhler, Benjamin (VerfasserIn)
Weitere Verfasser: Gasteiger, Rocco, Preim, Uta, Theisel, Holger, Gutberlet, Matthias, Preim, Bernhard
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM23102097X
003 DE-627
005 20231224085748.0
007 cr uuu---uuuuu
008 231224s2013 xx |||||o 00| ||eng c
024 7 |a 10.1109/TVCG.2013.189  |2 doi 
028 5 2 |a pubmed24n0770.xml 
035 |a (DE-627)NLM23102097X 
035 |a (NLM)24051844 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Köhler, Benjamin  |e verfasserin  |4 aut 
245 1 0 |a Semi-automatic vortex extraction in 4D PC-MRI cardiac blood flow data using line predicates 
264 1 |c 2013 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 02.05.2014 
500 |a Date Revised 20.09.2013 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a Cardiovascular diseases (CVD) are the leading cause of death worldwide. Their initiation and evolution depends strongly on the blood flow characteristics. In recent years, advances in 4D PC-MRI acquisition enable reliable and time-resolved 3D flow measuring, which allows a qualitative and quantitative analysis of the patient-specific hemodynamics. Currently, medical researchers investigate the relation between characteristic flow patterns like vortices and different pathologies. The manual extraction and evaluation is tedious and requires expert knowledge. Standardized, (semi-)automatic and reliable techniques are necessary to make the analysis of 4D PC-MRI applicable for the clinical routine. In this work, we present an approach for the extraction of vortex flow in the aorta and pulmonary artery incorporating line predicates. We provide an extensive comparison of existent vortex extraction methods to determine the most suitable vortex criterion for cardiac blood flow and apply our approach to ten datasets with different pathologies like coarctations, Tetralogy of Fallot and aneurysms. For two cases we provide a detailed discussion how our results are capable to complement existent diagnosis information. To ensure real-time feedback for the domain experts we implement our method completely on the GPU 
650 4 |a Journal Article 
700 1 |a Gasteiger, Rocco  |e verfasserin  |4 aut 
700 1 |a Preim, Uta  |e verfasserin  |4 aut 
700 1 |a Theisel, Holger  |e verfasserin  |4 aut 
700 1 |a Gutberlet, Matthias  |e verfasserin  |4 aut 
700 1 |a Preim, Bernhard  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1996  |g 19(2013), 12 vom: 13. Dez., Seite 2773-82  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnns 
773 1 8 |g volume:19  |g year:2013  |g number:12  |g day:13  |g month:12  |g pages:2773-82 
856 4 0 |u http://dx.doi.org/10.1109/TVCG.2013.189  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 19  |j 2013  |e 12  |b 13  |c 12  |h 2773-82