Reconstruction method for curvilinear structures from two views

Hoffmann, Matthias; Brost, Alexander; Jakob, Carolin; Koch, Martin; Bourier, Félix; Kurzidim, Klaus; Hornegger, Joachim; Strobel, Norbert

doi:10.1117/12.2006346

Cited by 21 publications

(23 citation statements)

References 1 publication

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“…One example is the reconstruction of curvilinear devices such as guidewires. By segmenting and connecting the 2D device path in each image plane, corresponding pairs of points along the 3D path can be extracted . Similar approaches can be used to reconstruct 3D vessel trees from biplane images.…”

Section: Introductionmentioning

confidence: 99%

A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images

et al. 2018

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Section: Introductionmentioning

confidence: 99%

A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images

et al. 2018

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“…Recently, efforts have been made to use biplane fluoroscopy acquisitions to reconstruct the 3D shape of the device. [2][3][4][5][6][7] This would allow creating virtual images from arbitrary viewing angles without moving the gantry or 3D renderings of the object within the vascular system, like virtual endoscopic views. The steps necessary to perform this reconstruction vary with the used algorithm but usually include the estimation of the projection matrices, motion compensation, segmentation of the device, search for corresponding points, and 3D reconstruction.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of the proposed work are that it provides a complete algorithmic framework for the time resolved 3D reconstruction of interventional devices from biplane fluoroscopy sequences, that it is able to extract the device path in the 2D projection images without relying on iterative optimization of 2D splines or 3D snakes 3,6,7,9 and that it is performed fully automatically and does not require manual seed point selection. 4,5 Instead, topology preserving thinning is used to extract the centerline of curvilinear segments, which are then connected based on spatial distance and directional difference between endpoints. This method has the advantage that arbitrary device shapes can be described as a list of connected pixels and it is not limited by the number of parameters used to describe splines or snakes.…”

Section: Introductionmentioning

confidence: 99%

4D interventional device reconstruction from biplane fluoroscopy

Wagner

Schäfer²,

Strother

et al. 2016

Medical Physics

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The presented algorithm is a novel approach for the time resolved 3D reconstruction of interventional devices from biplane fluoroscopic images, thus allowing the creation of virtual projection images from arbitrary view angles as well as virtual endoscopic 3D renderings. Availability of this technique would enhance the ability to accurately position devices in minimally invasive endovascular procedures.

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“…The availability of biplane angiography systems in many clinical environment has initiated attempts to reconstruct the 3D shape of endovascular devices from two orthogonal fluoroscopic views. [1][2][3][4] This would allow creating virtual views from arbitrary angles or virtual endoscopic renderings in real time. The reconstruction requires a fast and accurate segmentation of the device in the fluoroscopic images, which are usually corrupted by noise.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4] This would allow creating virtual views from arbitrary angles or virtual endoscopic renderings in real time. The reconstruction requires a fast and accurate segmentation of the device in the fluoroscopic images, which are usually corrupted by noise.…”

Section: Introductionmentioning

confidence: 99%

Noise reduction for curve‐linear structures in real time fluoroscopy applications using directional binary masks

Wagner

Yang

Schäfer³

et al. 2015

Medical Physics

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Purpose: Recent efforts in the reconstruction of interventional devices from two distinct views require the segmentation of the object in both fluoroscopic images. Noise might decrease the quality of the segmentation and cause artifacts in the reconstruction. The noise level depends on the x-ray dose the patient is exposed to. The proposed algorithm reduces the noise and enhances the separability of curvilinear devices in background subtracted fluoroscopic images to allow a more accurate segmentation. Methods: The algorithm uses a set of binary masks to estimate a line conformity measure that determines the best direction for a directional filter kernel. If the calculated value exceeds a certain threshold, the directional kernel is used to obtain the filtered value. Otherwise, an isotropic filter kernel is used. Results: The evaluation was performed on a set of 36 fluoroscopic images using a vascular head phantom with three different guidewires and nine different x-ray dosages from 6 nGy/pulse to 45 nGy/pulse as well as a clinical data set containing ten images. Compared with wavelet shrinkage and the bilateral filter, the proposed algorithm increased the average contrast to noise ratio by at least 17.8% for the phantom and 68.9% for the clinical images. The accuracy of the device segmentation was improved on average by at least 17.3% and 14.0%, respectively. Conclusions: The proposed algorithm was able to significantly reduce the amount of noise in the images and therefore increase the quality of the device segmentations compared to both the bilateral filter and the wavelet thresholding approach for all acquired noise levels using rotating directional filter kernels near line structures and isotropic kernels for the background. The application of the proposed algorithm for the 3D reconstruction of curvilinear devices from two views would allow a more accurate reconstruction of the device. C 2015 American Association of Physicists in Medicine.

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Reconstruction method for curvilinear structures from two views

Cited by 21 publications

References 1 publication

A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images

A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images

4D interventional device reconstruction from biplane fluoroscopy

Noise reduction for curve‐linear structures in real time fluoroscopy applications using directional binary masks

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