Direct estimation of cardiac biventricular volumes with an adapted Bayesian formulation.
IEEE Trans Biomed Eng
; 61(4): 1251-60, 2014 Apr.
Article
in En
| MEDLINE
| ID: mdl-24658249
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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Image Processing, Computer-Assisted
/
Cardiac Volume
/
Magnetic Resonance Imaging, Cine
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
IEEE Trans Biomed Eng
Year:
2014
Document type:
Article