Atlas-Based Ventricular Shape Analysis for Understanding Congenital Heart Disease.

Congenital heart disease is associated with abnormal ventricular shape that can affect wall mechanics and may be predictive of long-term adverse outcomes. Atlas-based parametric shape analysis was used to analyze ventricular geometries of eight adolescent or adult single-ventricle CHD patients with tricuspid atresia and Fontans. These patients were compared with an "atlas" of non-congenital asymptomatic volunteers, resulting in a set of z-scores which quantify deviations from the control population distribution on a patient-by-patient basis. We examined the potential of these scores to: (1) quantify abnormalities of ventricular geometry in single ventricle physiologies relative to the normal population; (2) comprehensively quantify wall motion in CHD patients; and (3) identify possible relationships between ventricular shape and wall motion that may reflect underlying functional defects or remodeling in CHD patients. CHD ventricular geometries at end-diastole and end-systole were individually compared with statistical shape properties of an asymptomatic population from the Cardiac Atlas Project. Shape analysis-derived model properties, and myocardial wall motions between end-diastole and end-systole, were compared with physician observations of clinical functional parameters. Relationships between altered shape and altered function were evaluated via correlations between atlas-based shape and wall motion scores. Atlas-based shape analysis identified a diverse set of specific quantifiable abnormalities in ventricular geometry or myocardial wall motion in all subjects. Moreover, this initial cohort displayed significant relationships between specific shape abnormalities such as increased ventricular sphericity and functional defects in myocardial deformation, such as decreased long-axis wall motion. These findings suggest that atlas-based ventricular shape analysis may be a useful new tool in the management of patients with CHD who are at risk of impaired ventricular wall mechanics and chamber remodeling.

Improving assessment of congenital heart disease through rapid patient specific modeling.

Congenital heart disease is the most common birth defect, with an incidence of 75 in every 1000 births. As a result of improved interventions, 90% of people with congenital heart disease now survive to adulthood. They must undergo regular imaging to assess their biventricular (left and right ventricular) function. Analysis of the images is problematic due to the large variety of shapes and complex geometry. In this paper we extend a biventricular modeling method to improve the analysis of MR images from congenital heart disease patients. We used a subdivision surface method to create three customizable exemplars, representing common manifestations of anatomy, and incorporated these as priors into an interactive biventricular customization procedure. The CHD-specific priors were tested on 60 cases representing a variety of congenital heart diseases for which the gold standard manual contours were available. The introduction of multiple priors showed a significant decrease in analysis time while maintaining good correlation between the two methods (R2 >.82).

Creating shape templates for patient specific biventricular modeling in congenital heart disease.

Survival rates for infants with congenital heart disease (CHD) are improving, resulting in a growing population of adults with CHD. However, the analysis of left and right ventricular function is very time-consuming owing to the variety of congenital morphologies. Efficient customization of patient geometry and function depends on high quality shape templates specifically designed for the application. In this paper, we combine a method for creating finite element shape templates with an interactive template customization to patient MRI examinations. This enables different templates to be chosen depending on patient morphology. To demonstrate this pipeline, a new biventricular template with 162 elements was created and tested in place of an existing 82-element template. The method was able to provide fast interactive biventricular analysis with 0.31 sec per edit response time. The new template was customized to 13 CHD patients with similar biventricular topology, showing improved performance over the previous template and good agreement with clinical indices.