Handbook of medical imaging
Digital Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Edge Detection and Linking Using Wavelets and Image Fusion
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
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We present modeling of left ventricle (LV) shape from 2D CT images, acquired from a 64-slice CT medical imaging modality, using wavelets, regular hexagonal boundary tracing, and simple statistical moments. Our proposed algorithm uses a regular hexagonal approximation model corresponding to interactive labeling of LV segmented texture using wavelet-based techniques. We generate LV shape model, as the mean regular hexagonal approximation. We demonstrate application and usefulness of our shape model for successful identification of end-diastolic and end-systolic stages of a normal human cardiac cycle.