Modelling of image-catheter motion for 3-D IVUS

Rosales, Misael; Radeva, Petia; Rodriguez-Leor, Oriol; Gil, Débora

doi:10.1016/j.media.2008.06.012

Cited by 25 publications

(11 citation statements)

References 32 publications

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“…Figure 7 indicates that the gated longitudinal cut obtained with the rigid registration is smoother than the ECG gated one. The average inter-frame dissimilarity and gated frame number difference were used as quantitative scores [5,7] to quantitative evaluate the method. Small scores mean good performance.…”

Section: Resultsmentioning

confidence: 99%

“…The retrospective offline ECG gating is subjective and sensitive to intra-operator variation as well as inter-operator or patient variation [4]. Furthermore, only approximate synchronization can be obtained since the frame rate is fixed, Past techniques for suppressing in-plane motion artifacts estimate the displacements between the geometrical centers of the luminal cross-sections and determine the rotation angles by Fourier spectrum analyses [2,5,6]. However, one-to-one point matching between the lumen contours in adjacent frames can not be achieved.…”

Section: Introductionmentioning

confidence: 99%

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Rigid and elastic registration for coronary artery IVUS images

Sun¹,

Bai²,

Liu³

2016

THC

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Abstract. BACKGROUND: Intravascular ultrasound (IVUS) has been widely used in diagnosis and interventional treatment of cardiac vessel diseases. The coronary artery IVUS images are usually polluted by motion artifacts caused by cardiac motion, pulsatile blood and catheter twist during continuous pullback acquisition. OBJECTIVE: Strategies for rigid and elastic registration of coronary artery IVUS studies are developed to suppress the longitudinal motion and misalignment between successive frames. METHODS: Rigid registration is performed by searching for the optimal matching for each frame in other cycles based on the cyclic variation of gray-scale features. The image sequence is gated to properly identify the frames in each cardiac phase. Then, elastic registration between frames is achieved through an optimization algorithm based on thin plate spline (TPS) to correct the misalignment of successive slices. RESULTS: Experimental results with in vivo image data shows that the rigid registration performs better than the offline ECG gating. The elastic mapping relation between lumen contours in successive frames is smooth and continuous. CONCLUSION: The serrated vessel wall borders in longitudinal cuts are smoothed after rigid registration while image segmentation and feature extraction are required. The point-to-point correspondence between lumen contours detected from two matched frames is obtained with elastic registration.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rigid and elastic registration for coronary artery IVUS images

Sun¹,

Bai²,

Liu³

2016

THC

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“…nephrotoxic contrast agents is intravascular ultrasound (IVUS) [4]. In [5] [6], the 3D shape of the vessel is reconstructed by registering IVUS images to angiography data in the 3D space, but still involves x-ray radiation and the use of contrast agents.…”

Section: Introductionmentioning

confidence: 99%

Registration-Free Simultaneous Catheter and Environment Modelling

Zhao

Giannarou

Su-Lin

et al. 2016

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

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Abstract. Endovascular procedures are challenging to perform due to the complexity and difficulty in catheter manipulation. The simultaneous recovery of the 3D structure of the vasculature and the catheter position and orientation intra-operatively is necessary in catheter control and navigation. State-of-art Simultaneous Catheter and Environment Modelling provides robust and real-time 3D vessel reconstruction based on real-time intravascular ultrasound (IVUS) imaging and electromagnetic (EM) sensing, but still relies on accurate registration between EM and pre-operative data. In this paper, a registration-free vessel reconstruction method is proposed for endovascular navigation. In the optimisation framework, the EM-CT registration is estimated and updated intra-operatively together with the 3D vessel reconstruction from IVUS, EM and pre-operative data, and thus does not require explicit registration. The proposed algorithm can also deal with global (patient) motion and periodic deformation caused by cardiac motion. Phantom and invivo experiments validate the accuracy of the algorithm and the results demonstrate the potential clinical value of the technique.

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“…In [5], the lumen sizes are tracked according to the changes in image intensities within a manually defined circular region. The rigid motion of the vessel wall in successive frames are estimated in [6] by tracking an elliptical vessel approximation. In [7], a cardiac phase is assigned to each image by tracking sharp changes in the vessel morphology.…”

Section: Introductionmentioning

confidence: 99%

Automated detection of cardiac phase from intracoronary ultrasound image sequences

Sun

Dong

2015

BME

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Abstract. Intracoronary ultrasound (ICUS) is a widely used interventional imaging modality in clinical diagnosis and treatment of cardiac vessel diseases. Due to cyclic cardiac motion and pulsatile blood flow within the lumen, there exist changes of coronary arterial dimensions and relative motion between the imaging catheter and the lumen during continuous pullback of the catheter. The action subsequently causes cyclic changes to the image intensity of the acquired image sequence. Information on cardiac phases is implied in a non-gated ICUS image sequence. A 1-D phase signal reflecting cardiac cycles was extracted according to cyclical changes in local gray-levels in ICUS images. The local extrema of the signal were then detected to retrieve cardiac phases and to retrospectively gate the image sequence. Results of clinically acquired in vivo image data showed that the average inter-frame dissimilarity of lower than 0.1 was achievable with our technique. In terms of computational efficiency and complexity, the proposed method was shown to be competitive when compared with the current methods. The average frame processing time was lower than 30 ms. We effectively reduced the effect of image noises, useless textures, and non-vessel region on the phase signal detection by discarding signal components caused by non-cardiac factors.

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Modelling of image-catheter motion for 3-D IVUS

Cited by 25 publications

References 32 publications

Rigid and elastic registration for coronary artery IVUS images

Rigid and elastic registration for coronary artery IVUS images

Registration-Free Simultaneous Catheter and Environment Modelling

Automated detection of cardiac phase from intracoronary ultrasound image sequences

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