Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation
Citations Over TimeTop 10% of 2014 papers
Abstract
Accurate estimation of the ventricular volumes is essential to the assessment of global cardiac functions. The existing estimation methods are mostly restricted to the left ventricle (LV), and often require segmentation which is challenging and computationally expensive. This paper proposes to estimate the volumes of both LV and right ventricle (RV) jointly with an efficient segmentation-free method. The proposed method employs an adapted Bayesian formulation. It introduces a novel likelihood function to exploit multiple appearance features, and a novel prior probability model to incorporate the area correlation between LV and RV cavities. The method is validated on a comprehensive dataset containing 56 clinical subjects (3360 images in total). The experimental results demonstrate that the estimated biventricular volumes are highly correlated to their independent ground truth. As a result, the proposed method enables a direct, efficient, and accurate assessment of global cardiac functions.
Related Papers
- → Take a look at the hierarchical Bayesian estimation of parameters from several different angles(2022)5 cited
- Bayesian Estimation of DSGE Models: Is the Workhorse Model Identified?(2011)
- E-Bayesian Estimation Method of Parameter and Its Applications in Reliability Engineering(2009)
- Estimation Method of Unqualified Product Rate(2004)
- Expected Bayesian Estimation of Failure Rate and Its Character under Entropy Loss Function(2013)