<title>Computer-Aided Quantitation Of The Severity Of Coronary Obstructions From Single View Cineangiograms</title>

Assessment of short-, medium-, and long-term variations in arterial dimensions from computer-assisted quantitation of coronary cineangiograms.

“…The various systems used to date vary to a great extent, from manual procedures that implement a vernier caliper or comparable device'2-7 to a computerized manual edge-tracing procedure'8 and methods that make use of computer edge detection algorithms to determine arterial dimensions in a two-dimensional projection. [19][20][21][22][23][24][25][26][27][28][29] Several investigators have also applied densitometric procedures in an attempt to derive crosssectional area measurements from single-view coronary cineangiograms.…”

Quantitative angiography of the left anterior descending coronary artery: correlations with pressure gradient and results of exercise thallium scintigraphy.

“…The quantitative analysis of selected coronary segments was carried out with the help of a computer-based Coronary Angiography Analysis System (CAAS) that is described in another report in this issue of the journal, as well as extensively elsewhere. [15][16][17][18][19] In short, the boundaries of a selected coronary segment were detected automatically from optically magnified and video digitized portions of a cine frame. Calibration of the diameter data from the vessels in absolute values (mm) was achieved by detecting the boundaries of a section of the contrast catheter and comparing the computed mean diameter in pixels with the known size in millimeters.…”

Estimating the 3D skeletons and transverse areas of coronary arteries from biplane angiograms

“…Selzer [l], [2] developed a method of detecting these boundaries based on the first-and secondorder derivatives of the densitometric profile perpendicular to the medial axis ("skeleton") [3]- [5] of the artery image. Similar boundary detection methods were described by Spears [6], Fukui [7], and Kooijman [8]. Because differentiation amplifies the deleterious effects of noise, the profile is smoothed by polynomial curve fitting before the derivatives are estimated.…”