Real-time atrial wall imaging

Heart Rhythm ◽  
2015 ◽  
Vol 12 (8) ◽  
pp. 1836-1837 ◽  
Author(s):  
Matthew Wright
Keyword(s):  
Real Time ◽  
Atrial Wall ◽  
Wall Imaging

scholarly journals Real-time atrial wall imaging during radiofrequency ablation in a porcine model

Heart Rhythm ◽  
2015 ◽  
Vol 12 (8) ◽  
pp. 1827-1835 ◽  
Author(s):  
Mathieu Granier ◽  
Pierre François Winum ◽  
Mireille Granier ◽  
Pierre Liaud ◽  
Guillaume Cayla ◽  
...  
Keyword(s):  
Radiofrequency Ablation ◽  
Real Time ◽  
Porcine Model ◽  
Atrial Wall ◽  
Wall Imaging

A Portable Real-Time Digital Noise Radar System for Through-the-Wall Imaging

2012 ◽  
Vol 50 (10) ◽  
pp. 4123-4134 ◽  
Author(s):  
Pin-Heng Chen ◽  
Mahesh C. Shastry ◽  
Chieh-Ping Lai ◽  
Ram M. Narayanan
Keyword(s):  
Real Time ◽  
Radar System ◽  
Noise Radar ◽  
Wall Imaging

scholarly journals Real time Adaptive Approach for Hidden Targets Shape Identification using through Wall Imaging System

2021 ◽  
Vol 71 (03) ◽  
pp. 395-402
Author(s):  
Sandeep Kaushal ◽  
Bambam Kumar ◽  
Prabhat Sharma ◽  
Dharmendra Singh
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Curve Fitting ◽  
Imaging System ◽  
Dielectric Material ◽  
Shape Identification ◽  
Fitting Method ◽  
Free Data ◽  
Curve Fitting Method ◽  
Wall Imaging

In Through-wall Imaging (TWI) system, shape-based identification of the hidden target behind the wall made of any dielectric material like brick, cement, concrete, dry plywood, plastic and Teflon, etc. is one of the most challenging tasks. However, it is very important to understand that the performance of TWI systems is limited by the presence of clutter due to the wall and also transmitted frequency range. Therefore, the quality of obtained image is blurred and very difficult to identify the shape of targets. In the present paper, a shape-based image identification technique with the help of a neural network and curve-fitting approach is proposed to overcome the limitation of existing techniques. A real time experimental analysis of TWI has been carried out using the TWI radar system to collect and process the data, with and without targets. The collected data is trained by a neural network for shape identification of targets behind the wall in any orientation and then threshold by a curve-fitting method for smoothing the background. The neural network has been used to train the noisy data i.e. raw data and noise free data i.e. pre-processed data. The shape of hidden targets is identified by using the curve fitting method with the help of trained neural network data and real time data. The results obtained by the developed technique are promising for target identification at any orientation.

scholarly journals Evaluation of accelerated motion-compensated 3d water/fat late gadolinium enhanced MR for atrial wall imaging

2021 ◽  
Author(s):  
Camila Munoz ◽  
Iain Sim ◽  
Radhouene Neji ◽  
Karl P. Kunze ◽  
Pier-Giorgio Masci ◽  
...  
Keyword(s):  
Image Quality ◽  
Respiratory Motion ◽  
Invasive Technique ◽  
Atrial Wall ◽  
Gadolinium Enhancement ◽  
Diagnostic Quality ◽  
Accelerated Motion ◽  
Non Invasive ◽  
Scan Time ◽  
Wall Imaging

Abstract Objective 3D late gadolinium enhancement (LGE) imaging is a promising non-invasive technique for the assessment of atrial fibrosis. However, current techniques result in prolonged and unpredictable scan times and high rates of non-diagnostic images. The purpose of this study was to compare the performance of a recently proposed accelerated respiratory motion-compensated 3D water/fat LGE technique with conventional 3D LGE for atrial wall imaging. Materials and methods 18 patients (age: 55.7±17.1 years) with atrial fibrillation underwent conventional diaphragmatic navigator gated inversion recovery (IR)-prepared 3D LGE (dNAV) and proposed image-navigator motion-corrected water/fat IR-prepared 3D LGE (iNAV) imaging. Images were assessed for image quality and presence of fibrosis by three expert observers. The scan time for both techniques was recorded. Results Image quality scores were improved with the proposed compared to the conventional method (iNAV: 3.1 ± 1.0 vs. dNAV: 2.6 ± 1.0, p = 0.0012, with 1: Non-diagnostic to 4: Full diagnostic). Furthermore, scan time for the proposed method was significantly shorter with a 59% reduction is scan time (4.5 ± 1.2 min vs. 10.9 ± 3.9 min, p < 0.0001). The images acquired with the proposed method were deemed as inconclusive less frequently than the conventional images (expert 1/expert 2: 4/7 dNAV and 2/4 iNAV images inconclusive). Discussion The motion-compensated water/fat LGE method enables atrial wall imaging with diagnostic quality comparable to the current conventional approach with a significantly shorter scan of about 5 min.

Abstract 2243: Real-Time Computed Tomography (RT-CT) for Guidance of Catheter Navigation, Transseptal Puncture and Anatomically Targeted Radiofrequency Ablation

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Timm Dickfeld ◽  
Martin Engelhardt ◽  
Katrina Read ◽  
Christopher Kocher ◽  
Jagan Akella ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Real Time ◽  
Femoral Vein ◽  
Lateral Wall ◽  
Right Atrial ◽  
Transseptal Puncture ◽  
Atrial Wall ◽  
Accuracy And Precision ◽  
Catheter Navigation ◽  
The Right

Background: Recent ablation strategies for complex arrhythmias such as atrial fibrillation or ischemic ventricular tachycardia are increasingly based on anatomic considerations. While fluoroscopy and 3D-mapping systems are widely used to guide these ablations, they are limited by poor soft tissue visualization and the lack of real-time anatomic data. Therefore, this study sought to evaluate if real-time computed tomography (RT-CT) could overcome these limitations and guide catheter navigation, transseptal puncture and anatomically targeted ablation. Methods: Catheter real-time guidance was assessed in 5 swine (40kg) using a 40-slice RT-CT. First, right/left heart catheterization was performed from the femoral vein and artery with the goal to access all cardiac chambers and the great cardiac vessels. Second, transseptal puncture was attempted with targeted ablations at pre-specified locations at the left lateral wall. Third, targeted ablation at the pulmonary vein (PV) orifice and repeat ablations at the right lateral wall were created to assess accuracy and precision, respectively. Fourth, creation of a straight ventricular four-point line was attempted. Necropsy was performed to assess possible complications and to compare the location of the ablation sites with the CT images. Results: Catheter navigation was performed safely from the femoral vein to the pulmonary artery and the femoral artery to the left ventricle. Misguided catheters to the renal vein, jugular vein, and carotid artery were correctly identified and removed. Transseptal puncture using a Brocken-brough needle was successfully performed and confirmed with anatomically targeted ablations at the left lateral atrial wall. Accuracy as assessed by PV ablations was in the range of 1–3mm. Repeat ablations in the right atrial wall revealed a precision of 2–3mm. Maximum deviation from a straight 4-point ventricular line was 2.8mm. No complications were seen at necropsy. Conclusions: Catheter navigation (in all four cardiac chambers) as well as transseptal puncture can be performed guided exclusively by RT-CT. Anatomically targeted ablations can be created with good accuracy and precision under real-time guidance. This suggests a possible role of RT-CT to guide ablation procedures.

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