November 19, 2002
View Full PaperA model-based integrated approach to track myocardial deformation using displacement and velocity constraints
Key Result
An integrated method combining instantaneous velocity from phase contrast MRI and boundary shape information within a biomechanical heart model improves left ventricular deformation tracking accuracy.
Structured PICO
P
Population
Not applicable (computational modeling study for left ventricular deformation tracking)
I
Intervention
A new method integrating instantaneous velocity information (from phase contrast MRI) with shape information (from boundary tracking) within a continuum biomechanical heart model
C
Comparator
Previous methods concentrating on motion estimation from a single image-derived source
O
Outcome
Estimation accuracy of left ventricular deformation and trackingsurrogate
A novel computational method integrating MRI velocity and boundary shape data improves the tracking of left ventricular deformation.
Abstract
Accurate estimation of heart wall dense field motion and deformation could help to better understand the physiological processes associated with ischemic heart diseases, and to provide significant improvement in patient treatment. We present a new method of estimating left ventricular deformation which integrates instantaneous velocity information obtained within the mid-wall region with shape information found on the boundaries of the left ventricle. Velocity information is obtained from phase contrast magnetic resonance images, and boundary information is obtained from shape-based motion tracking of the endo- and cardial boundaries. The integration takes place within a continuum biomechanical heart model which is embedded in a finite element framework. We also employ a feedback mechanism to improve tracking accuracy. The integration of the two disparate but complementary sources overcomes some of the limitations of previous work in the field which concentrates on motion estimation from a single image-derived source.>