Reconstruction of asymmetric vessel lumen from two views

We have developed a technique based on epipolar geometry which allows reconstruction of vessel lumina containing asymmetries for arbitrary lumen orientation. Vessel centerlines and the imaging geometry are determined using previously described methods. Epipolar planes are established for pairs of centerline points and intensity profiles are extracted along epipolar lines. Extracted profiles are fitted to projection curves corresponding to elliptical cross-sections. The original vessel intensity profile is subtracted from the best-fit profile yielding the plaque profile. Corresponding best-fit profiles are used to reconstruct elliptical cross sections by backprojecting and identifying ray intersection points which lie within the model cross section. Assuming that the deformation of an otherwise elliptical lumen occurs as a result of plaque growing inward from the periphery, asymmetries are generated by deforming the cross sections to an extent consistent with the plaque profile in both views. The three-dimensional lumen may be obtained by combining individual cross sections in consecutive epipolar planes. The technique was evaluated using noiseless simulated angiograms. Reconstructed asymmetric lumen cross sections were found to be accurate to 95%, where accuracy was determined using area and distance criteria.

[1]  Jack Sklansky,et al.  Reconstructing the cross sections of coronary arteries from biplane angiograms , 1992, IEEE Trans. Medical Imaging.

[2]  Milan Sonka,et al.  Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation , 1999, IEEE Transactions on Medical Imaging.

[3]  Yang Wang,et al.  Three-dimensional object reconstruction from orthogonal projections , 1975, Pattern Recognit..

[4]  Raj Shekhar,et al.  Three-dimensional reconstruction of the coronary artery wall by image fusion of intravascular ultrasound and bi-plane angiography , 2000, The International Journal of Cardiac Imaging.

[5]  C. Zarins,et al.  Compensatory enlargement of human atherosclerotic coronary arteries. , 1987, The New England journal of medicine.

[6]  Johan H. C. Reiber,et al.  3-D reconstruction of coronary arterial segments from two projections , 1986 .

[7]  Ying Sun,et al.  Reconstruction of 3-D Binary Tree-Like Structures From Three Mutually Orthogonal Projections , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  M J Davies,et al.  A macro and micro view of coronary vascular insult in ischemic heart disease. , 1990, Circulation.

[9]  E L Bolson,et al.  Dynamic mechanisms in human coronary stenosis. , 1984, Circulation.

[10]  K. Doi,et al.  Image feature analysis and computer-aided diagnosis in digital radiography. 2. Computerized determination of vessel sizes in digital subtraction angiography. , 1987, Medical physics.

[11]  Yoram Bresler,et al.  Estimation Of 3-D Shape Of Blood Vessels From X-Ray Images. , 1984, Other Conferences.

[12]  K Doi,et al.  Quantitative evaluation of vessel tracking techniques on coronary angiograms. , 1999, Medical physics.

[13]  Alain Herment,et al.  A 3D reconstruction of vascular structures from two X-ray angiograms using an adapted simulated annealing algorithm , 1994, IEEE Trans. Medical Imaging.

[14]  N Guggenheim,et al.  Spatial reconstruction of coronary arteries from angiographic images. , 1991, Physics in medicine and biology.

[15]  Andreas Wahle,et al.  Assessment of diffuse coronary artery disease by quantitative analysis of coronary morphology based upon 3-D reconstruction from biplane angiograms , 1995, IEEE Trans. Medical Imaging.

[16]  D. Holdsworth,et al.  Use of a C-arm system to generate true three-dimensional computed rotational angiograms: preliminary in vitro and in vivo results. , 1997, AJNR. American journal of neuroradiology.

[17]  K R Hoffmann,et al.  Determination of 3D imaging geometry and object configurations from two biplane views: an enhancement of the Metz-Fencil technique. , 1995, Medical physics.