Literature DB >> 2921979

Determination of three-dimensional structure in biplane radiography without prior knowledge of the relationship between the two views: theory.

C E Metz1, L E Fencil.   

Abstract

A novel method allows the determination of three-dimensional object structure from two projection images that are obtained at arbitrary, unknown orientations. Only minimal prior information concerning the imaging system is required. First, the image coordinates of eight or more object points that can be identified unambiguously in both views are used to determine the relative geometry of the two projections. Subsequently, the three-dimensional coordinates of the identified object points are determined, to within a scale factor, from the image coordinates of the points and the calculated imaging system geometry. A theoretical description of the overall method is provided, along with techniques for the reduction of effects of experimental errors and numerical errors that may arise in the course of the calculations. Methods to retrieve the absolute scale of the object are discussed also.

Mesh:

Year:  1989        PMID: 2921979     DOI: 10.1118/1.596401

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  19 in total

Review 1.  Biplane X-ray angiograms, intravascular ultrasound, and 3D visualization of coronary vessels.

Authors:  K R Hoffmann; A Wahle; C Pellot-Barakat; J Sklansky; M Sonka
Journal:  Int J Card Imaging       Date:  1999-12

2.  A system for determination of 3D vessel tree centerlines from biplane images.

Authors:  K R Hoffmann; A Sen; L Lan; K G Chua; J Esthappan; M Mazzucco
Journal:  Int J Card Imaging       Date:  2000-10

3.  Three-dimensional analysis of in vivo coronary stent--coronary artery interactions.

Authors:  Robert Liao; Nathan E Green; S Y James Chen; John C Messenger; Adam R Hansgen; Bertron M Groves; John D Carroll
Journal:  Int J Cardiovasc Imaging       Date:  2004-08       Impact factor: 2.357

4.  Effects of point configuration on the accuracy in 3D reconstruction from biplane images.

Authors:  Jacek Dmochowski; Kenneth R Hoffmann; Vikas Singh; Jinhui Xu; Daryl P Nazareth
Journal:  Med Phys       Date:  2005-09       Impact factor: 4.071

5.  Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry.

Authors:  Jinhui Xu; Guang Xu; Zhenming Chen; Vikas Singh; Kenneth R Hoffmann
Journal:  J Comb Optim       Date:  2005-09       Impact factor: 1.195

6.  Construction of realistic branched, three-dimensional arteries suitable for computational modelling of flow.

Authors:  S Corney; P R Johnston; D Kilpatrick
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

7.  Sparse source imaging in electroencephalography with accurate field modeling.

Authors:  Lei Ding; Bin He
Journal:  Hum Brain Mapp       Date:  2008-09       Impact factor: 5.038

8.  Clinical evaluation of angiographic multiple-view 3D reconstruction.

Authors:  Peter B Noël; Kenneth R Hoffmann; Snehal Kasodekar; Alan M Walczak; Sebastian Schafer; Jacek Dmochowski
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

9.  Vascular tree reconstruction with discrete tomography: intensity based camera correction for 3D reconstruction.

Authors:  C Bodensteiner; C Darolti; A Schweikard
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-02-04       Impact factor: 2.924

10.  Experimental comparison of cone beam CT (CBCT) reconstruction and multi-view reconstruction (MVR) for microangiography (MA) detector system.

Authors:  Vikas Patel; Andrew T Kuhls; Peter B Noël; Alan Walczak; Ciprian N Ionita; Ravishankar Chityala; Rekha Tranquebar; Hussain S Rangwala; Snehal S Kasodekar; Kenneth R Hoffmann; Daniel Bednarek; Stephen Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2006
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