3D curve reconstruction by biplane snakes

Cañero, C.; Radeva, Petia; Toledo, Ricardo; Villanueva, Juan J.; Mauri, Josefina

doi:10.1109/icpr.2000.902982

Cited by 33 publications

(32 citation statements)

References 4 publications

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“…Regardless to that, currently there is no existing training tool for the fore mentioned cardiology students, since the main emphasis of the current research in cardiology is on computer-assisted localisation and measurement of stenotic lesions through vessel reconstruction [14,15], automatic viewpoint determination [7], and prediction of stenosis through identification of atherosclerosis in an early stage by means of coronary artery diameter variation measurements [16].…”

Section: Computer-based Trainingmentioning

confidence: 99%

Virtual coronary cineangiography

Bajec

Trunk

Oseli

et al. 2003

Computers in Biology and Medicine

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The mastering of myocardial infarction diagnosis is traditionally composed of laborious trial-and error-based examination of canonical coronary cineangiographies. In the following article we suggest a system that enables the instructor to generate student-specific cases, thus allowing teaching not only the basic feature searching and stenosis evaluation processes, but also the importance of the correct acquisition viewpoint. With the proposal of the development of the Digital Cardiologist intelligent agent we also envisage the possibility of the student's self tutoring.

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Section: Computer-based Trainingmentioning

confidence: 99%

Virtual coronary cineangiography

Bajec

Trunk

Oseli

et al. 2003

Computers in Biology and Medicine

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“…In order to update the position of the 3D landmark points of the active contour, one strategy is to update the projections of the landmark in 2D (Cañero et al, 2000(Cañero et al, , 2002. Specifically, the 3D landmarks for the current iteration of the active contour evolution are projected onto the 2D images.…”

Section: Forward-projection Based Methodsmentioning

confidence: 99%

“…In order to calculate 2D external energy terms for each landmark point, common approaches are to compute the Gradient Vector Flow (GVF) (Xu and Prince, 1998b), Generalized Gradient Vector Flow (GGVF) (Xu and Prince, 1998a), and Potential Energy (PE) (Cohen and Cohen, 1993) from the 2D projection images and use the resulting 2D vector fields (Cañero et al, 2000(Cañero et al, , 2002Cong et al, 2013Cong et al, , 2015Yang et al, 2014). Centrelines segmented from 2D projection images are used as the feature map input to GVF, GGVF and PE computation.…”

Section: Forward-projection Based Methodsmentioning

confidence: 99%

“…Older angiography systems are equipped with image intensifier that generates images with distortion due to its design. These distortions must be corrected either before applying the reconstruction method (Shechter et al, 2003a) or within the reconstruction method (Cañero et al, 2000). However, now the new angiography systems make use of flat panel detectors, which can create distortion free X-ray images (Strobel et al, 2009).…”

Section: Image Acquisition Geometry and Calibrationmentioning

confidence: 99%

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Reconstruction of coronary arteries from X-ray angiography: A review

Çimen

Gooya

Graß

et al. 2016

Medical Image Analysis

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Despite continuous progress in X-ray angiography systems, X-ray coronary angiography is fundamentally limited by its 2D representation of moving coronary arterial trees, which can negatively impact assessment of coronary artery disease and guidance of percutaneous coronary intervention. To provide clinicians with 3D/3D+time information of coronary arteries, methods computing reconstructions of coronary arteries from X-ray angiography are required. Because of several aspects (e.g. cardiac and respiratory motion, type of X-ray system), reconstruction from X-ray coronary angiography has led to vast amount of research and it still remains as a challenging and dynamic research area. In this paper, we review the state-of-the-art approaches on reconstruction of high-contrast coronary arteries from X-ray angiography. We mainly focus on the theoretical features in model-based (modelling) and tomographic reconstruction of coronary arteries, and discuss the evaluation strategies. We also discuss the potential role of reconstructions in clinical decision making and interventional guidance, and highlight areas for future research.

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“…We can deal the point cloud of the impeller blades with a dot-curve-surface-based surface reconstructed approach in order to get a visual CAD model [9][10]. First, we can obtain a full outline of the tested part through eliminating point cloud noise, merging the point cloud from different views.…”

Section: The Cloud Data Post-processingmentioning

confidence: 99%

Shape Detection for Impeller Blades by Non-contact Coordinate Measuring Machine

Luo

2011

Computer and Computing Technologies in Agriculture IV

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Abstract. The impeller blades are very important and precise parts in turbine, but they can be worn and deformed easily. In this paper, we present a novel approach to detect the shape of the impeller blades. The proposed approach is to compare the designed 3D model of the impeller blades with the virtual 3D model of the tested part which is reconstructed by non-contact coordinate measuring machine. The non-contact coordinate measuring machine measures an object with optical triangulation, and then we can reconstruct a virtual 3D model for the part. In contrast to previous approaches which detect the parts with complex surface, the proposed shape detection approach is scatheless and reliable. Experimental results also show that our approach gets the shape of the tested part precisely and describes the deformed condition clearly.

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3D curve reconstruction by biplane snakes

Cited by 33 publications

References 4 publications

Virtual coronary cineangiography

Virtual coronary cineangiography

Reconstruction of coronary arteries from X-ray angiography: A review

Shape Detection for Impeller Blades by Non-contact Coordinate Measuring Machine

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