Three-dimensional reconstruction of mitral eccentric regurgitation from color Doppler flow images

Qi Liu; Ling Jiang Wang; Tian Fu Wang; Chang Qiong Zheng; Yi Zheng

doi:10.1117/12.538971

25 September 2003 Three-dimensional reconstruction of mitral eccentric regurgitation from color Doppler flow images

Qi Liu, Ling Jiang Wang, Tian Fu Wang, Chang Qiong Zheng, Yi Zheng

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538971
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Advances in echocardiographic systems and computer applications have made three dimensional reconstruction of anatomical structures possible which open a new and fascinating field of color Doppler flow image, but the spatial shape and quantitative evaluation of mitral eccentric regurgitation is often difficult in the clinical setting. In this paper, we present a method to complete the 3D reconstruction of the mitral eccentric regurgitation, mitral eccentric regurgitation information was first derived from color Doppler flow images and then the mitral eccentric regurgitation velocity values was mapped according to the color bar in the images. With the proper method of interpolation and rendering, the experiment result of 3D visualization of mitral eccentric regurgitation is satisfying. Measurements from a 3D reconstructed flow convergence region may be superior to measurements from 2D color Doppler recordings to calculate volume flow, 3D mitral eccentric regurgitation reconstruction is possible and opens new possibilities in flow quantification. Futher study of the method may be very helpful in the diagnosis of heart diseases.

Citation Download Citation

Qi Liu, Ling Jiang Wang, Tian Fu Wang, Chang Qiong Zheng, and Yi Zheng "Three-dimensional reconstruction of mitral eccentric regurgitation from color Doppler flow images", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538971

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