Paper
25 April 1997 Three-dimensional reconstruction of the coronary arterial tree from several sets of biplane angiograms with simultaneous estimation of imaging geometry
Naozo Sugimoto, Chikao Uyama, Shinobu Mizuta, Hiroshi Watabe, Shin-ichi Urayama
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Abstract
A new method is proposed for reconstructing the 3D structure of the coronary arterial tree from angiograms. Instead of identification of corresponding points on the images, several sets of biplane angiograms are used, and the parameters of the imaging geometries are simultaneously estimated. Several sets of biplane angiograms are usually obtained during one angiographic test. However, only one set of biplane angiogram is usually used for 3D reconstruction of the coronary arterial tree. If only one set of biplane angiogram is used for 3D reconstruction, it is necessary to identify corresponding points on both images. Identification of correspondent points on both images is, however, very difficult and often impossible. To overcome this difficulty, we use several sets of biplane angiograms for 3D reconstruction. If the precise parameters of the imaging geometries are known, the 3D structure of the coronary arterial tree can be obtained by back parameters of the imaging geometries are known, the 3D structure of the coronary arterial tree can be obtained by back projecting each angiogram. However, only the approximate parameters of the imaging geometries are usually known. Therefore, we developed a method for 3D reconstruction of a coronary arterial tree with simultaneous estimation of the imaging geometry. In this paper, we present the algorithm for our method and demonstrate the application to clinical data.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naozo Sugimoto, Chikao Uyama, Shinobu Mizuta, Hiroshi Watabe, and Shin-ichi Urayama "Three-dimensional reconstruction of the coronary arterial tree from several sets of biplane angiograms with simultaneous estimation of imaging geometry", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274171
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Cited by 1 scholarly publication.
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KEYWORDS
Angiography

3D modeling

3D image processing

Reconstruction algorithms

Imaging systems

CCD cameras

Image intensifiers

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