LV segmentation through the analysis of radio frequency ultrasonic images

Authors:
P. Yan;C. X. Jia;A. Sinusas;K. Thiele;M. O'Donnell;J. S. Duncan
Affiliations:
Yale University, University of Michigan, Philips Research, University of Washington;Yale University, University of Michigan, Philips Research, University of Washington;Yale University, University of Michigan, Philips Research, University of Washington;Yale University, University of Michigan, Philips Research, University of Washington;Yale University, University of Michigan, Philips Research, University of Washington;Yale University, University of Michigan, Philips Research, University of Washington
Venue:
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Year:
2007

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Abstract

LV segmentation is often an important part of many automated cardiac diagnosis strategies. However, the segmentation of echocardiograms is a difficult task because of poor image quality. In echocardiography, we note that radio-frequency (RF) signal is a rich source of information about the moving LV as well. In this paper, first, we will investigate currently used, important RF derived parameters: integrated backscatter coefficient(IBS), mean central frequency (MCF) and the maximum correlation coefficients (MCC) from speckle tracking. Second, we will develop a new segmentation algorithm for the segmentation of the LV boundary, which can avoid local minima and leaking through uncompleted boundary. Segmentations are carried out on the RF signal acquired from a Sonos7500 ultrasound system. The results are validated by comparing to manual segmentation results.