Cardiac functional analysis method using gradient image segmenta

Details Cardiac functional analysis method using gradient image segmenta Cardiac functional analysis method using gradient image segmenta

1994-02-24

1995-07-18

Zele, Krista M.

Surgery

Truss

Pad

1286532, A61B 5055, A61B 603

Patent

active

054331994

ABSTRACT:
A 4D image data set of a living subject is obtained by non-invasive imaging means representing three dimensions and time in relation to the subject's cardiac cycle. In order to determine various vascular parameters, it is useful to segment the image data set into internal structures defined as having the same tissue types contiguous locations. To accomplish this, a gradient data set is constructed from the image data set indicating the magnitude of spatial changes in the image data set. A plurality of locations are selected in `training` along with corresponding data values in the image and gradient data sets. These data values are plotted against each other to construct a scatter plot then processed to determine a bivariate statistical probability distribution. The remaining data values are then assigned a tissue type based upon their plot on the bivariate statistical probability distribution. Contiguous locations having the same tissue type assignment are identified as a solid structure. These solid structures may be the internal volume of cardiac chambers. Since these volumes may be accurately measured over the cardiac cycle, vascular functionality, such as ejection fraction, and cardiac output may be measured.

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Publication: "3D Reconstruction of the Brain from Magnetic Resonance Images Using a Connectivity Algorithm", by H. E. Cline et al., publsihed in Magnetic Resonance Imaging, vol. 5, No. 5, pp. 345-352, 1987.
Publication: "Three-Dimensional Segmentation of MR Images of the Head Using Probability and Connectivity", Harvey E. Cline, et al., Journal of Computer Assisted Tomography, vol. 14, No. 6, Nov./Dec. 1990, pp. 1037-1045.

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