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IEEE Trans. Biomed. Engineering. 01/2012; 59:122-131.
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Gang Gao,
Graeme Penney,
Yingliang Ma, Nicolas Gogin,
Pascal Cathier,
Aruna Arujuna,
Geraint Morton,
Dennis Caulfield,
Jaswinder Gill,
C Aldo Rinaldi,
Jane Hancock,
Simon Redwood,
Martyn Thomas,
Reza Razavi,
Geert Gijsbers,
Kawal Rhode
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ABSTRACT: Two-dimensional (2D) X-ray imaging is the dominant imaging modality for cardiac interventions. However, the use of X-ray fluoroscopy alone is inadequate for the guidance of procedures that require soft-tissue information, for example, the treatment of structural heart disease. The recent availability of three-dimensional (3D) trans-esophageal echocardiography (TEE) provides cardiologists with real-time 3D imaging of cardiac anatomy. Increasingly X-ray imaging is now supported by using intra-procedure 3D TEE imaging. We hypothesize that the real-time co-registration and visualization of 3D TEE and X-ray fluoroscopy data will provide a powerful guidance tool for cardiologists. In this paper, we propose a novel, robust and efficient method for performing this registration. The major advantage of our method is that it does not rely on any additional tracking hardware and therefore can be deployed straightforwardly into any interventional laboratory. Our method consists of an image-based TEE probe localization algorithm and a calibration procedure. While the calibration needs to be done only once, the GPU-accelerated registration takes approximately from 2 to 15s to complete depending on the number of X-ray images used in the registration and the image resolution. The accuracy of our method was assessed using a realistic heart phantom. The target registration error (TRE) for the heart phantom was less than 2mm. In addition, we assess the accuracy and the clinical feasibility of our method using five patient datasets, two of which were acquired from cardiac electrophysiology procedures and three from trans-catheter aortic valve implantation procedures. The registration results showed our technique had mean registration errors of 1.5-4.2mm and 95% capture range of 8.7-11.4mm in terms of TRE.
Medical image analysis 05/2011; 16(1):38-49. · 3.09 Impact Factor
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Functional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, New York City, NY, USA, May 25-27, 2011. Proceedings; 01/2011
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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I; 01/2010
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Information Processing in Computer-Assisted Interventions, First International Conference, IPCAI 2010, Geneva, Switzerland, June 23, 2010. Proceedings; 01/2010
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ABSTRACT: X-ray fluoroscopically guided cardiac electrophysiological procedures are routinely carried out for diagnosis and treatment of cardiac arrhythmias. X-ray images have poor soft tissue contrast and, for this reason, overlay of static 3D roadmaps derived from pre-procedural volumetric data can be used to add anatomical information. However, the registration between the 3D roadmap and the 2D X-ray data can be compromised by patient respiratory motion. We propose a novel method to correct for respiratory motion using real-time image-based coronary sinus (CS) catheter tracking. The first step of the proposed technique is to use a blob detection method to detect all possible catheter electrodes in the Xray data. We then compute a cost function to select one CS catheter from all catheter-like objects. For correcting respiratory motion, we apply a low pass filter to the 2D motion of the CS catheter and update the 3D roadmap using this filtered motion. We tested our CS catheter tracking method on 1048 fluoroscopy frames from 15 patients and achieved a success rate of 99.3% and an average 2D tracking error of 0.4 mm +/- 0.2 mm. We also validated our respiratory motion correction strategy by computing the 2D target registration error (TRE) at the pulmonary veins and achieved a TRE of 1.6 mm +/- 0.9 mm.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 01/2010; 13(Pt 1):391-9.
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ABSTRACT: The recent availability of three-dimensional (3D) transesophageal echocardiography (TEE) provides cardiologists with real-time
3D imaging of cardiac anatomy. X-ray fluoroscopy is the conventional modalilty that is used for guiding many cardiac interventions.
Increasingly this is now supported using intra-procedure 3D TEE imaging. We hypothesize that the real-time coregistration
and visualization of 3D TEE and X-ray fluoroscopy data will provide a powerful guidance tool for cardiologists. In this paper,
we propose a novel, robust and efficient method for performing this registration. Our method consists of an image-based TEE
probe localization algorithm and a calibration procedure. While the calibration needs to be done only once, the registration
takes approximately 9.5 seconds to complete. The accuracy of our method was assessed by using both a crosswire phantom and
a more realistic heart phantom. The target registration error for the heart phantom was less than 2mm. In addition, the accuracy
and the clinical feasiblity of our method was evaluated in two cardiac electrophysiology procedures. The registration results
showed inplane errors of 1.5 and 3mm.
KeywordsImage registration-Cardiac intervention-Transesophageal echocardiography-X-ray fluoroscopy
01/1970: pages 124-134;
