Analysis of Catheter-Based Registration with Vessel-Radius Weighting of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in a Phantom Study

Truong, Michael; Gordon, Thomas J.; Razavi, Reza; Penney, Graeme P.; Rhode, Kawal

doi:10.1007/978-3-642-28326-0_14

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…[3][4][5][6] A promising approach to achieve this registration is by using catheters that are reconstructed in 3D 7 from sequential biplane x-ray images. 8,9 This requires cardiorespiratory phase matching of the biplane images which in these cases is done manually. While image fusion is a powerful tool that has a promising outcome for patients undergoing EP procedures, the roadmap images produced will be static and will not update with the intraprocedural situation.…”

Section: Introductionmentioning

confidence: 99%

A statistical method for retrospective cardiac and respiratory motion gating of interventional cardiac x-ray images

et al. 2014

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Purpose: Image‐guided cardiac interventions involve the use of fluoroscopic images to guide the insertion and movement of interventional devices. Cardiorespiratory gating can be useful for 3D reconstruction from multiple x‐ray views and for reducing misalignments between 3D anatomical models overlaid onto fluoroscopy. Methods: The authors propose a novel and potentially clinically useful retrospective cardiorespiratory gating technique. The principal component analysis (PCA) statistical method is used in combination with other image processing operations to make our proposed masked‐PCA technique suitable for cardiorespiratory gating. Unlike many previously proposed techniques, our technique is robust to varying image‐content, thus it does not require specific catheters or any other optically opaque structures to be visible. Therefore, it works without any knowledge of catheter geometry. The authors demonstrate the application of our technique for the purposes of retrospective cardiorespiratory gating of normal and very low dose x‐ray fluoroscopy images. Results: For normal dose x‐ray images, the algorithm was validated using 28 clinical electrophysiology x‐ray fluoroscopy sequences (2168 frames), from patients who underwent radiofrequency ablation (RFA) procedures for the treatment of atrial fibrillation and cardiac resynchronization therapy procedures for heart failure. The authors established end‐systole, end‐expiration, and end‐inspiration success rates of 97.0%, 97.9%, and 97.0%, respectively. For very low dose applications, the technique was tested on ten x‐ray sequences from the RFA procedures with added noise at signal to noise ratio (SNR) values of50, 10, 8, 6, 5, 2, and 1 to simulate the image quality of increasingly lower dose x‐ray images. Even at the low SNR value of 2, representing a dose reduction of more than 25 times, gating success rates of 89.1%, 88.8%, and 86.8% were established. Conclusions: The proposed technique can therefore extract useful information from interventional x‐ray images while minimizing exposure to ionizing radiation.

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Section: Introductionmentioning

confidence: 99%

A statistical method for retrospective cardiac and respiratory motion gating of interventional cardiac x-ray images

et al. 2014

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“…X‐ray fluoroscopy images were acquired during the invasive studies to track the location of the pacing leads. X‐ray MR image registration was used to determine the pacing locations in the model simulations …”

Section: Methodsmentioning

confidence: 99%

“…X-ray MR image registration was used to determine the pacing locations in the model simulations. 28 In this study, the models used to investigate CRT focused on the isovolumetric contraction, systole, and isovolumetric relaxation phases of the cardiac cycle; to simulate the phases of the cardiac cycle of interest; and to reduce computational costs. Large deformation mechanics were simulated using Continuum Mechanics, Image analysis, Signal processing and System Identification (CMISS) software (www.cmiss.org).…”

Section: Methodsmentioning

confidence: 99%

Biophysical Modeling to Determine the Optimization of Left Ventricular Pacing Site and AV/VV Delays in the Acute and Chronic Phase of Cardiac Resynchronization Therapy

Lee

Crozier

Hyde

et al. 2017

Cardiovasc electrophysiol

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Device Optimization for Acute and Chronic CRTBackgroundCardiac anatomy and function adapt in response to chronic cardiac resynchronization therapy (CRT). The effects of these changes on the optimal left ventricle (LV) lead location and timing delay settings have yet to be fully explored.ObjectiveTo predict the effects of chronic CRT on the optimal LV lead location and device timing settings over time.MethodsBiophysical computational cardiac models were generated for 3 patients, immediately post‐implant (ACUTE) and after at least 6 months of CRT (CHRONIC). Optimal LV pacing area and device settings were predicted by pacing the ACUTE and CHRONIC models across the LV epicardium (49 sites each) with a range of 9 pacing settings and simulating the acute hemodynamic response (AHR) of the heart.ResultsThere were statistically significant differences between the distribution of the AHR in the ACUTE and CHRONIC models (P < 0.0005 in all cases). The site delivering the maximal AHR shifted location between the ACUTE and CHRONIC models but provided a negligible improvement (<2%). The majority of the acute optimal LV pacing regions (76–100%) and device settings (76–91%) remained optimal chronically.ConclusionOptimization of the LV pacing location and device settings were important at the time of implant, with a reduced benefit over time, where the majority of the acute optimal LV pacing region and device settings remained optimal with chronic CRT.

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“…This technique requires both cardiac and respiratory phase matching of the biplane images. In [3], this was achieved manually, but an automatic technique would significantly speed up the clinical workflow. A similar requirement for automatic frame matching exists when catheter positional information needs to be measured with reference to a registered anatomical model.…”

Section: Introductionmentioning

confidence: 98%

“…A promising solution is the use of catheters to constrain the registration [2]. A recent implementation of this approach uses 3D catheter reconstructions from sequential biplane X-ray images [3]. This technique requires both cardiac and respiratory phase matching of the biplane images.…”

Section: Introductionmentioning

confidence: 99%

Automatic image-based retrospective gating of interventional cardiac X-ray images

Panayiotou

King

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Gating of X-ray fluoroscopy images is required for catheter reconstruction for registration of pre-procedural images with fluoroscopy for guidance and biophysical modelling. We propose a novel and clinically useful retrospective method for automatic image-based cardiac and respiratory motion gating. The technique is based on tracking and statistical analysis of the shape of the coronary sinus catheter. We applied our method on five mono-plane imaging sequences comprising a total of 322 frames from five different patients undergoing radiofrequency ablation for the treatment of atrial fibrillation. We established systole, end-inspiration and end-expiration gating with success rates of 100%, 89.47% and 81.25% respectively.

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Analysis of Catheter-Based Registration with Vessel-Radius Weighting of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in a Phantom Study

Cited by 9 publications

References 14 publications

A statistical method for retrospective cardiac and respiratory motion gating of interventional cardiac x-ray images

A statistical method for retrospective cardiac and respiratory motion gating of interventional cardiac x-ray images

Biophysical Modeling to Determine the Optimization of Left Ventricular Pacing Site and AV/VV Delays in the Acute and Chronic Phase of Cardiac Resynchronization Therapy

Automatic image-based retrospective gating of interventional cardiac X-ray images

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