Transesophageal 2D ultrasound to 3D computed tomography registration for the guidance of a cardiac arrhythmia therapy

Sandoval, Zulma; Castro, Miguel; Alirezaie, Javad; Bessière, Francis; Lafon, Cyril; Dillenseger, Jean-Louis

doi:10.1088/1361-6560/aad29a

Cited by 8 publications

(7 citation statements)

References 17 publications

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“…Regarding the registration accuracy, The global mean target registration error (mTRE) of 1.7 mm is on the same range of magnitude as those reported in the literature: less than 5 mm for [13] and 1.5 − 4.2 mm for [14] and 5.6 mm for [9]. Figure 5 shows the simulated US images (a and c) and their superimposition to the estimated corresponding reformatted CT slice (b and d).…”

Section: ) Target Registration Error (Tre)supporting

confidence: 64%

“…Similarly in [8], intensity-based similarity measures is employed to register intraprocedural 2D MR images with preprocedural 3D MR images during an MRI-guided intervention. Finally, in [9] a rigid registration is performed to align 3D reformatted preoperative 3D CT volume with 2D US image, they reduce the number of DOF to two DOF (the depth of slices and the rotation in that slice) by assuming that US probe is perpendicular to the esophagus axis. The idea was to extract all the CT slices perpendicular to the esophagus and to perform a 2D US/CT registration on these reformatted slices.…”

Section: Introductionmentioning

confidence: 99%

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High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation

Dahman¹,

Dillenseger²

2019

2019 Computing in Cardiology Conference (CinC)

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Transesophageal high-intensity focused ultrasound (HIFU) energy can be used to treat cardiac arrhythmia efficiently non-invasively. Since the esophagus is located just behind the heart, it offers a perfect acoustic window. Hence, HIFU can be directed toward the heart to perform ablation. In a previous study a HIFU probe with one 2D US image perpendicular to the esophagus axis for guidance purpose has been proposed. A new dual-mode HIFU probe with two perpendicular 2D US imaging plane is now under development. In this paper we propose a therapy guidance system, based on an intensity-based registration of the two perpendicular 2D US to preoperative 3D CT. As a proof of concept we developed the following evaluation framework on a numerical phantom: 1) we define a ground truth (GT) initial pose inside a CT volume and simulated two perpendicular US images from the CT data; 2) we run the registration framework from 55 randomly defined pose initializations around the initial GT pose; and 3) we estimated the accuracy of the registration by (a) the transformation parameter estimation errors and (b) Target Registration Error (TRE).

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Section: ) Target Registration Error (Tre)supporting

confidence: 64%

Section: Introductionmentioning

confidence: 99%

High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation

Dahman¹,

Dillenseger²

2019

2019 Computing in Cardiology Conference (CinC)

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“…We are well aware that there are differences between simulated US images and real US images. However, we found in a previous study that a method tuned on simulated data obtained good results on real data [7]. So we are hopeful that our method works on real data.…”

Section: • Hausdorff Distancementioning

confidence: 74%

“…In order to guide and ablate a specific zone of the heart chosen by the experts in the 3D CT volume, Sandoval et al propose a therapy guidance system by the registration of the intraoperative 2D US images to the preoperative reformatted 3D CT volume [7]. In order to reduce the number of Degree of Freedom of this registration, they simplify the 2D/3D registration problem to a 2D-2D framework by making the anatomical assumption that the 2D US images are perpendicular to the esophagus axis.…”

Section: Introductionmentioning

confidence: 99%

Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy

Dahman

Dillenseger

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Image registration represents one of the fundamental techniques in medical imaging and image-guided interventions. In this paper, we present a Convolutional Neural Network (CNN) framework for deformable transesophageal US/CT image registration, for the cardiac arrhythmias, and guidance therapy purposes. The framework consists of a CNN, a spatial transformer, and a resampler. The CNN expects concatenated pairs of moving and fixed images as its input, and estimates as output the parameters for the spatial transformer, which generates the displacement vector field that allows the resampler to wrap the moving image into the fixed image. In our method, we train the model to maximize standard image matching objective functions that are based on the image intensities. The network can be applied to perform non-rigid registration of a pair of CT/US images directly in one pass, avoiding so the time consuming computation of the classical iterative method.

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“…Another option to limit acoustic fences would consist in providing such sequences under transesophageal echocardiography (TEE) analysis, which already offers 2-D and 3-D acquisitions. The combination of EWI mapping with elastography (available with ICE and TEE) could provide both the location of the arrhythmia and the characteristics (shape, surface, volume) of the thermal lesion after the ablation (Kwiecinski et al 2015) , , (Sandoval et al 2018). Since high-intensity focused ultrasounds can be delivered from a TEE(Bessiere et al 2016) , (Constanciel et al 2013) into the ventricles, ultrasound energy might be able, in the future, to localize, treat, and monitor cardiac arrhythmias.…”

Section: Limitationsmentioning

confidence: 99%

High Frame Rate Ultrasound for Electromechanical Wave Imaging to Differentiate Endocardial From Epicardial Myocardial Activation

Bessière

Zorgani

Robert

et al. 2020

Ultrasound in Medicine & Biology

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Differentiation between epicardial and endocardial ventricular activation remains a challenge, despite the latest technologies available. The aim of the present study was to develop a new tool method, based on electromechanical wave imaging (EWI), to improve arrhythmogenic substrate activation analysis. Experiments were conducted on left ventricles (LV) of four isolated working mode swine hearts. The protocol aimed at demonstrating that different patterns of mechanical activation could be observed whether the ventricle was in sinus rhythm, paced from the epicardium, or from the endocardium. Seventy-two EWI acquisitions were recorded on the anterior, lateral, and posterior segments of the LV. Fifty-four loop records were blindly assigned to two readers. EWI sequences interpretations were correct in 89% of cases. The overall agreement rate between the two readers was 83%. When in a paced ventricle, the origin of the wave front was focal and originated from the endocardium or the epicardium. In sinus rhythm, wave front was global and activated within the entire endocardium towards the epicardium at a speed of 1.7±0.28 m.s-1. Wave front speeds were respectively measured when the endocardium or the epicardium were paced at a speed of 1.1 ± 0.35 m.s-1 vs 1.3±0.34 m.s-1 (p=NS). EWI activation mapping allows activation localization within the LV wall and calculation of the wave front propagation speed through the muscle. In the future, this technology could help localize activation within the LV thickness during complex ablation procedures.

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Transesophageal 2D ultrasound to 3D computed tomography registration for the guidance of a cardiac arrhythmia therapy

Cited by 8 publications

References 17 publications

High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation

High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation

Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy

High Frame Rate Ultrasound for Electromechanical Wave Imaging to Differentiate Endocardial From Epicardial Myocardial Activation

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