To evaluate the use of magnetic resonance (MR) imaging in the detection of coronary artery bypass grafts (CABGs), 20 patients with grafts underwent electrocardiographic-gated MR study. The number and location of CABGs in each patient were not known at the time of study. The number of grafts seen with MR imaging was compared with the actual number of grafts determined from the operative or angiographic report. On the prospective review of the images, 54 of 64 grafts (84%) were detected, with three false-positive results. When the images were reevaluated with knowledge of the type and number of grafts in each patient, 56 of 64 grafts (88%) were detected. Forty-one of the 46 (89%) left grafts, 15 of the 18 (83%) right grafts, and five of the 11 (45%) internal mammary grafts were detected. Although resolution was not adequate to determine the presence of graft stenosis, this early experience indicates that patent CABGs can be seen with MR imaging.
An edge detection algorithm used in conjunction with digitized two-dimensional echocardiograms was applied to validate computerized two-dimensional echocardiographic (2DE) quantitation of cross-sectional areas of canine left ventricular chambers. Images were enhanced by space-time smoothing and dynamic range expansion, after which automatic edge detection was performed by convolving a Laplacian operator with the enhanced image. In an in vitro study of 29 myocardial slabs, computer-derived 2DE measurements of short-axis sections of the left ventricle were compared with manually derived 2DE data and validated against direct measurements of intraluminal areas of myocardial slabs. Correlations of both manually and computer-derived 2D echocardiograms vs direct measurements were equally satisfactory (r = .95 for both). Computer-derived measurements of perimeters tended to underestimate actual perimeters of the endocardial outlines of left ventricular sections. In 13 closed-chest anesthetized dogs, manually and computer-derived left ventricular short-axis areas measured by 2DE techniques showed a good correlation at both end-diastole (r = .91) and end-systole (r = .92). Left ventricular volumes reconstructed from 2DE images were compared with angiographically determined volumes. The computer-enhanced 2DE method correlated against angiography, with r = .93 for end-diastolic and r = .93 for end-systolic volumes. Left ventricular volume correlations between manually and computer-derived 2D echocardiograms were satisfactory, with r = .87 for enddiastole and r = .87 for end systole. We conclude that computerized enhancement and edge detection of 2D echocardiograms obtained in dogs provided accurate analysis of actual left ventricular crosssectional areas and left ventricular volumes.
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