Title :
Template-based multiple hypotheses tracking of small vessels
Author :
Friman, Ola ; Hindennach, Milo ; Peitgen, Heinz-Otto
Author_Institution :
MeVis Res., Bremen
Abstract :
A template tracking approach to the segmentation of small 3D vessel structures is presented. The main contributions are a general formulation of a vessel template function and a multiple hypotheses tracking framework that is shown to improve the tracking robustness. The methodology is demonstrated using CT angiography data of the liver to which a hybrid region growing and tracking segmentation is applied.
Keywords :
blood vessels; computerised tomography; diagnostic radiography; image segmentation; liver; medical image processing; CT angiography data; hybrid region growing; liver; multiple hypotheses tracking framework; small 3D vessel segmentation; small vessel tracking; template based multiple hypotheses tracking; template tracking approach; tracking robustness; tracking segmentation; vessel template function; Angiography; Arteries; Bifurcation; Computed tomography; Image segmentation; Liver; Magnetic resonance imaging; Parameter estimation; Robustness; Shape; arteries; liver; multiple hypotheses; segmentation; template; tracking; vessels;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
DOI :
10.1109/ISBI.2008.4541179
