3D Motion and Reconstruction of Coronary Networks

Ruan,; Cevallos, Bruno; Collorec,; Coatrieux,

doi:10.1109/iembs.1992.590437

Cited by 7 publications

(6 citation statements)

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“…Making the transition to 3D, Ruan 12 proposed combining optical flow derived displacement information from two projection images to displace a given coronary tree model in 3D space. Bascle 13 described the use of deformable 3D B-spline curves for segmenting objects in a stereo image pair, an idea which has been applied to the coronary arteries by Cañero.…”

Section: Introductionmentioning

confidence: 99%

Temporal tracking of 3D coronary arteries in projection angiograms

2002

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A method for 3D temporal tracking of a 3D coronary tree model through a sequence of biplane cineangiography images has been developed. A registration framework is formulated in which the coronary tree centerline model deforms in an external potential field defined by a multiscale analysis response map computed from the angiogram images. To constrain the procedure and to improve convergence, a set of three motion models is hierarchically used: a 3D rigid-body transformation, a 3D affine transformation, and a 3D B-spline deformation field. This 3D motion tracking approach has significant advantages over 2D methods: (1) coherent deformation of a single 3D coronary reconstruction preserves the topology of the arterial tree; (2) constraints on arterial length and regularity, which lack meaning in 2D projection space, are directly applicable in 3D; and (3) tracking arterial segments through occlusions and crossings in the projection images is simplified with knowledge of the 3D relationship of the arteries. The method has been applied to patient data and results are presented.

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Section: Introductionmentioning

confidence: 99%

Temporal tracking of 3D coronary arteries in projection angiograms

2002

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“…Finally, they reconstructed the 3D displacement vector of each skeleton point according to its two projections on both image planes. Puentes et al [22][23][24][25][26][27] used the OF-based approach presented in [19,20] to extract dynamic features of coronary vessel skeletons from biplane digital subtraction angiographic sequences. Furthermore, they developed a symbolic system to qualitatively interpret coronary arterial dynamic performances to assist clinical diagnosis of coronary artery diseases.…”

Section: D Motion Tracking and Estimation For Coronary Arteriesmentioning

confidence: 99%

“…Ruan et al [19,20] proposed a method based on optical flow to quantitatively estimate 3D displacement fields of coronary vessel skeletons from X-ray biplane angiographic sequences. Firstly, they reconstructed vessel skeletons at time-point t and back-projected them onto both left and right angiographic image planes at t + 1.…”

Section: D Motion Tracking and Estimation For Coronary Arteriesmentioning

confidence: 99%

Motion estimation of 3D coronary vessel skeletons from X-ray angiographic sequences

Sun

Yan

2011

Computerized Medical Imaging and Graphics

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“…However, some attempts have been recently made to recover the 3-D information from two or three image projections [1] [2] or from temporal image sequences through motion estimation when a moving organ is observed [3]. The feasibility of a 3-D X-Ray scanner has been demonstrated since the pioneering device, the Dynamic Spatial Reconstructor (DSR) [4].…”

Section: Introductionmentioning

confidence: 99%

“…Results according to SNR for a given window size (73 ) :(a) rms error on the estimation of the orientation ;(b) rms error on the estimation of the radius.…”

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confidence: 99%

A 3-D moment based approach for blood vessel detection and quantification in MRA

Reuze

Coatrieux

Luo

et al. 1993

THC

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This paper describes a new method for the three-dimensional (3-D) tracking and the quantification of blood vessels from Magnetic Resonance Angiography (MRA). The approach is based on the 3D geometrical moments and consists of the following steps : (1) interactive selection of 3-D seed points ; (2) automatic tracking of the vessels ; (3) local computation of both diameter and orientation ; (4) rendering of the vessels. This detection and estimation scheme has been validated on simulated and real data.

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3D Motion and Reconstruction of Coronary Networks

Cited by 7 publications

References 0 publications

Temporal tracking of 3D coronary arteries in projection angiograms

Temporal tracking of 3D coronary arteries in projection angiograms

Motion estimation of 3D coronary vessel skeletons from X-ray angiographic sequences

A 3-D moment based approach for blood vessel detection and quantification in MRA

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