Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography.
Model-based segmentation facilitates the accurate measurement of geometric properties of anatomy from ultrasound images. Regularization of the model surface is typically necessary due to the presence of noisy and incomplete boundaries. When simple regularizers are insufficient, linear basis shape models have been shown to be effective. However, for problems such as right ventricle (RV) segmentation from 3D+t echocardiography, where dense consistent landmarks and complete boundaries are absent, acquiring accurate training surfaces in dense correspondence is difficult. As a solution, this paper presents a framework which performs joint segmentation of multiple 3D+t sequences while simultaneously optimizing an underlying linear basis shape model. In particular, the RV is represented as an explicit continuous surface, and segmentation of all frames is formulated as a single continuous energy minimization problem. Shape information is automatically shared between frames, missing boundaries are implicitly handled, and only coarse surface initializations are necessary. The framework is demonstrated to successfully segment both multiple-view and multiple-subject collections of 3D+t echocardiography sequences, and the results confirm that the linear basis shape model is an effective model constraint. Furthermore, the framework is shown to achieve smaller segmentation errors than a state-of-art commercial semi-automatic RV segmentation package.
['Stebbing|Richard V|RV|', 'Namburete|Ana I L|AI|', 'Upton|Ross|R|', 'Leeson|Paul|P|', 'Noble|J Alison|JA|']
D000465:Algorithms D003198:Computer Simulation D056973:Four-Dimensional Computed Tomography D006352:Heart Ventricles D006801:Humans D007089:Image Enhancement D007090:Image Interpretation, Computer-Assisted D008955:Models, Cardiovascular D010363:Pattern Recognition, Automated D015203:Reproducibility of Results D012680:Sensitivity and Specificity D013382:Subtraction Technique D014463:Ultrasonography D018497:Ventricular Dysfunction, Right
Segmentation Linear basis shape model Subdivision surfaces