Paper Info
Title
Segmentation of gated SPECT images for automatic computation of myocardial volume and ejection fraction
Abstract
We describe an image processing system for the automatic assessment of ejection fraction (EF) from noisy SPECT left ventricular myocardial perfusion images. A segmentation scheme consisting of an elliptical coordinate transformation, matched filtering and dynamic contour tracking detects the endo- and epi- cardial boundaries. Computation of EF is performed based on the epi- rather than the endo-cardial boundary, which proves to be more robust for images with low signal-to-noise ratios. The computation incorporates anatomical constraints of constant myocardial mass and smooth cardiac variation. The algorithm was tested on different image modalities and shows good linear agreement with EFs obtained from conventional approaches based on planar gated blood pool imaging (PET: y=8.7+1.07x, r=0.84 , Technetium-99m MIBI SPECT: y=5.0+0.80x, r=0.90 , Thallium-201 SPECT: y=23.5+0.82x, r=0.77, RMS error = 10.0). The proposed scheme may be an alternative for EF computation without the need for additional image acquisitions.
Year
DOI
Venue
1997
10.1109/ICIP.1997.638686
Image Processing, 1997. Proceedings., International Conference
Keywords
DocType
Volume
cardiology,image segmentation,medical image processing,muscle,single photon emission computed tomography,volume measurement,Tc,Tl,constant myocardial mass,dynamic contour tracking,elliptical coordinate transformation,endocardial boundaries,epicardial boundaries,gated SPECT images segmentation,matched filtering,medical diagnostic imaging,nuclear medicine,planar gated blood pool imaging,signal-to-noise ratio,smooth cardiac variation
Conference
2
ISBN
Citations 
PageRank 
0-8186-8183-7
2
0.53
References 
Authors
5
4
Name
Order
Citations
PageRank
Patrick Brigger11379.44
S. L. Bacharach220.87
A. Aldroubi31380254.26
Unser, M.43438442.40