title: An algorithm for angiographic estimation of blood vessel diameter.
abstract: This study was carried out in an attempt to develop an objective and robust method for measuring changes in the diameters of small blood vessels from X-ray angiographic images. Recognizing potential problems with edge detection methods applied to cylindrical vessels in which the contrast diminishes as the boundary is approached, we have attempted to utilize the X-ray absorbance data across the entire cross section of the vessel. Then, assuming a cylindrical geometry, the absorbance data are fit to the cylindrical absorbance function by use of nonlinear regression analysis. The method was tested and calibrated using glass tubes filled with various concentrations of contrast medium. The diameters of small pulmonary arteries were estimated by applying the method of angiograms obtained from an isolated dog lung lobe. The structure of the residuals obtained after the fitting procedure was analyzed to test the appropriateness of the model for use with images of vessels. The results suggest that this approach will have utility for systematically quantifying vessel dimensions.
authors.affiliation: Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee 53233.
authors.forename: A V
authors.initials: AV
authors.lastname: Clough
authors.forename: G S
authors.initials: GS
authors.lastname: Krenz
authors.forename: M
authors.initials: M
authors.lastname: Owens
authors.forename: A
authors.initials: A
authors.lastname: al-Tinawi
authors.forename: C A
authors.initials: CA
authors.lastname: Dawson
authors.forename: J H
authors.initials: JH
authors.lastname: Linehan
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000706:statistics & numerical data*; D000818:Animals; D001808:Blood Vessels / Q000033:anatomy & histology*; D004285:Dogs; D008953:Models, Anatomic; D011651:Pulmonary Artery / Q000033:anatomy & histology / Q000000981:diagnostic imaging