The Measurement of Absolute Lumen Cross Sectional Area and Lumen Geometry in Quantitative Angiography
This paper describes our calibration technique to derive the absolute cross-sectional area of diseased blood vessel lumen from X-ray angiograms. This technique relies on the identification of a blood vessel of circular cross-section near to the diseased segment. If we assume that the concentration of contrast material and the densitometric response of the imaging system are constant over the diseased segment we may apply the calibration factor derived from adjacent circular segments to the diseased segment. Our interactive computer program, which incorporates this procedure, has been validated for segments of diseased coronary artery obtained at post mortem. Comparison with photographs of cross-sections of the arteries yielded a standard error of the estimate of 0.47mm2 using cine fluorography with samples every 0.3mm along the artery’s axis and film-screen radiography with samples every 0.1mm. The X-ray and geometric projections of the arterial cross-sections were consistent within the expected accuracy of the experiment. For the film-screen the precision of the densitometric profiles was approximately 0.1mm with systematic calibration errors of upto 0.2mm. There is considerable information in the X-ray projection data which could be used for the analysis of lumen shape, and hence the classification of vascular pathology.
KeywordsVessel Segment Magnification Factor Diseased Segment Blood Vessel Lumen Relative Cross Sectional Area
Unable to display preview. Download preview PDF.
- Colchester, A.C.F (1985). The effect of changing PaCO2 on Cerebral artery calibre estimated by a new technique of dynamic quantitative digital angiography. Ph.D. Thesis, University of London.Google Scholar
- Davies, M.J. (1987). Pathology of ischaemic heart disease. In: Current status of clinical cardiology. Ischaemic Heart Disease, Fox, K.M (ed.), MTP Press Ltd., pp.33-68.Google Scholar
- De Rouen, T.A., Murray, J.A., and Owen W. (1977). Variability in the analysis of coronary arteriograms. Circulation 55, pp. 324–328.Google Scholar
- Harrison, D.G., White, C.W., Hiratzka, L.F., Doty, D.B., Barnes, D.H., Eastham, C.L. ad Marcus, M.L. (1984). The value of lesion cross-sectional area determined by quantitative coronary arteriography in assessing the physiological significance of proximal left anterior descending coronary arterial stenosis. Circulation 69, pp. 1111–1119.PubMedCrossRefGoogle Scholar
- Hawkes, D.J., Mol, C.B., and Colchester, A.C.F. (1987). The accurate 3D reconstruction of the geometric configuration of vascular trees from X-ray recordings. In: Physics and engineering of medical imaging. NATO ASI. Guzzardi (ed.), Martinus Nijhoff, Holland, pp. 250–256.Google Scholar
- Reiber, J.H.C., Gerbrands, J.J., and Troost, G.J. (1983). Transfer functions of the X-ray-cine-video chain applied to digital processing of coronary cine-angiograms. In: Digital imaging in cardiovascular radiology. Heintzen and Brennecke (eds.), Georg Thieme Verlag, Berlin, pp. 89–103.Google Scholar
- Zir, L.M., Miller, S.W., and Dinsmore, Gilbert, J.P. and Hartbourne, J.W. (1979). Interobserver variability in coronary angiography. Circulation 53, pp.627–632.Google Scholar