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actual adjustable allowed amplifier angiograms aortic valve applied approximation assumed background beginning bits border model border point boundary buffer calculated chapter comparator condition constant contour contour detector coordinate system cycle defined delay derived described detected determined deviation device difference direction distance dynamic equal equation equilibrium error expectation window expressed field Figure follows format frame function g(nT given heart horizontal implemented indicates initial input left border left ventricle left ventricular linear manual maximum mean measured memory method obtained occurs operator origin outline output period position possible pressure processing pulse reference level respectively response right border sample points scan lines selected shown side situation slope space-time starting step stored surface switch tensor term tion transfer unit video line video signal volume window width x-ray yields
Page i - No. 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered 15.
Page 285 - H, Dodge HT: The use of single plane angiocardiograms for the calculation of left ventricular volume in man.
Page i - Category 71 19. Security Qassif. (of this report) Unclassified 20. Security Classif. (of this page) 21. No. of Pages Unclassified 98 22.
Page 288 - A biplane roentgen videometry system for dynamic /60 per second/ studies of the shape and size of circulatory structures, particularly the left ventricle.
Page 285 - Usefulness and limitations of radiographic methods for determining left ventricular volume.
Page 19 - The approach to contour extraction described here formulates the contour extraction problem as one of minimum cost tree searching. Branch costs or metrics are defined which are indicative of the likelihood that a particular branch lies on the true contour. The branch metrics incorporate both local and global or contextual information. The most likely path or contour is then extracted by application of a heuristic tree searching algorithm.
Page 20 - ... of left-ventricular volume from serial angiocardiograms have neglected the explicit location of the aortic valve line and the ventricle apex. From heuristic considerations of typical aorta-ventricle outlines, an algorithm has been developed to find these key points. The algorithm tracks the turning of the aorta-ventricle outline and uses this information to find the apex and to nominate points for ends of the aortic valve line. The correct valve points maximize an objective function defined on...