Title :
Maximum a posteriori optimization-a method for calculation of dynamic changes in ventricular contours from angiographic image sequences
Author :
Groshong, Bennett R. ; Spero, Laurence A. ; Cusma, Jack T.
Author_Institution :
Duke Univ. Med. Center, Durham, NC, USA
Abstract :
A robust and accurate method for automatic determination of dynamic left ventricular function has been developed for application to sequences of angiographic images. The method employs a maximum a posteriori optimization approach. The shape of the ventricle boundary is modeled by an elliptical Fourier series. The intensity cross section of the ventricle boundary is modeled using a derivative of a Gaussian. Prior knowledge of the probability of a given ventricle shape and temporal behavior is encoded using a distribution on the parameters. This prior knowledge is coupled with the spatial and temporal information in the image sequence using a guided gradient descent technique to estimate the dynamic contour coefficients. The results illustrate the performance of the optimization algorithm on two examples of digital subtraction X-ray ventriculograms
Keywords :
cardiology; diagnostic radiography; image sequences; medical image processing; Gaussian derivative; angiographic image sequences; digital subtraction X-ray ventriculograms; dynamic changes calculation method; elliptical Fourier series; guided gradient descent technique; maximum a posteriori optimization; medical diagnostic imaging; spatial information; temporal information; ventricle boundary shape; ventricular contours; Biomedical imaging; Constraint optimization; Fourier series; Image sequences; Lifting equipment; Optimization methods; Robustness; Shape; Ultrasonic imaging; X-ray imaging;
Conference_Titel :
Computers in Cardiology 1992, Proceedings of
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-3552-5
DOI :
10.1109/CIC.1992.269358
