The manual segmentation and analysis of 4D high resolution multi slice cardiac CT datasets is both labor
intensive and time consuming. Therefore, it is necessary to supply the cardiologist with powerful software tools,
to segment the myocardium and the cardiac cavities in all cardiac phases and to compute the relevant diagnostic
In recent years there have been several publications concerning the segmentation and analysis of the left
ventricle (LV) and myocardium for a single phase or for the diagnostically most relevant phases, the enddiastole
(ED) and the endsystole (ES). However, for a complete diagnosis and especially of wall motion abnormalities, it
is necessary to analyze not only the motion endpoints ED and ES, but also all phases in-between.
In this paper a novel approach for the 4D segmentation of the left ventricle in cardiac-CT-data is presented.
The segmentation of the 4D data is divided into a first part, which segments the motion endpoints of the cardiac
cycle ED and ES and a second part, which segments all phases in-between. The first part is based on a bi-temporal
statistical shape model of the left ventricle. The second part uses a novel approach based on the
individual volume curve for the interpolation between ED and ES and afterwards an active contour algorithm
for the final segmentation.
The volume curve based interpolation step allows the constraint of the subsequent segmentation of the phases
between ED and ES to very small search-intervals, hence makes the segmentation process faster and more robust.