Real‐time x‐ray fluoroscopy‐based catheter detection and tracking for cardiac electrophysiology interventions. Issue 7 (11th June 2013)
- Record Type:
- Journal Article
- Title:
- Real‐time x‐ray fluoroscopy‐based catheter detection and tracking for cardiac electrophysiology interventions. Issue 7 (11th June 2013)
- Main Title:
- Real‐time x‐ray fluoroscopy‐based catheter detection and tracking for cardiac electrophysiology interventions
- Authors:
- Ma, YingLiang
Gogin, Nicolas
Cathier, Pascal
Housden, R. James
Gijsbers, Geert
Cooklin, Michael
O'Neill, Mark
Gill, Jaswinder
Rinaldi, C. Aldo
Razavi, Reza
Rhode, Kawal S. - Abstract:
- Abstract : Purpose: : X‐ray fluoroscopically guided cardiac electrophysiology (EP) procedures are commonly carried out to treat patients with arrhythmias. X‐ray images have poor soft tissue contrast and, for this reason, overlay of a three‐dimensional (3D) roadmap derived from preprocedural volumetric images can be used to add anatomical information. It is useful to know the position of the catheter electrodes relative to the cardiac anatomy, for example, to record ablation therapy locations during atrial fibrillation therapy. Also, the electrode positions of the coronary sinus (CS) catheter or lasso catheter can be used for road map motion correction. Methods: : In this paper, the authors present a novel unified computational framework for image‐based catheter detection and tracking without any user interaction. The proposed framework includes fast blob detection, shape‐constrained searching and model‐based detection. In addition, catheter tracking methods were designed based on the customized catheter models input from the detection method. Three real‐time detection and tracking methods are derived from the computational framework to detect or track the three most common types of catheters in EP procedures: the ablation catheter, the CS catheter, and the lasso catheter. Since the proposed methods use the same blob detection method to extract key information from x‐ray images, the ablation, CS, and lasso catheters can be detected and tracked simultaneously in real‐time.Abstract : Purpose: : X‐ray fluoroscopically guided cardiac electrophysiology (EP) procedures are commonly carried out to treat patients with arrhythmias. X‐ray images have poor soft tissue contrast and, for this reason, overlay of a three‐dimensional (3D) roadmap derived from preprocedural volumetric images can be used to add anatomical information. It is useful to know the position of the catheter electrodes relative to the cardiac anatomy, for example, to record ablation therapy locations during atrial fibrillation therapy. Also, the electrode positions of the coronary sinus (CS) catheter or lasso catheter can be used for road map motion correction. Methods: : In this paper, the authors present a novel unified computational framework for image‐based catheter detection and tracking without any user interaction. The proposed framework includes fast blob detection, shape‐constrained searching and model‐based detection. In addition, catheter tracking methods were designed based on the customized catheter models input from the detection method. Three real‐time detection and tracking methods are derived from the computational framework to detect or track the three most common types of catheters in EP procedures: the ablation catheter, the CS catheter, and the lasso catheter. Since the proposed methods use the same blob detection method to extract key information from x‐ray images, the ablation, CS, and lasso catheters can be detected and tracked simultaneously in real‐time. Results: : The catheter detection methods were tested on 105 different clinical fluoroscopy sequences taken from 31 clinical procedures. Two‐dimensional (2D) detection errors of 0.50 ± 0.29, 0.92 ± 0.61, and 0.63 ± 0.45 mm as well as success rates of 99.4%, 97.2%, and 88.9% were achieved for the CS catheter, ablation catheter, and lasso catheter, respectively. With the tracking method, accuracies were increased to 0.45 ± 0.28, 0.64 ± 0.37, and 0.53 ± 0.38 mm and success rates increased to 100%, 99.2%, and 96.5% for the CS, ablation, and lasso catheters, respectively. Subjective clinical evaluation by three experienced electrophysiologists showed that the detection and tracking results were clinically acceptable. Conclusions: : The proposed detection and tracking methods are automatic and can detect and track CS, ablation, and lasso catheters simultaneously and in real‐time. The accuracy of the proposed methods is sub‐mm and the methods are robust toward low‐dose x‐ray fluoroscopic images, which are mainly used during EP procedures to maintain low radiation dose. … (more)
- Is Part Of:
- Medical physics. Volume 40:Issue 7(2013)
- Journal:
- Medical physics
- Issue:
- Volume 40:Issue 7(2013)
- Issue Display:
- Volume 40, Issue 7 (2013)
- Year:
- 2013
- Volume:
- 40
- Issue:
- 7
- Issue Sort Value:
- 2013-0040-0007-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2013-06-11
- Subjects:
- Fluoroscopy -- Biomedical instrumentation and transducers, including micro‐electro‐mechanical systems (MEMS) -- Mechanical and electrical properties of tissues and organs
bioelectric phenomena -- biological tissues -- biomedical electrodes -- cardiology -- catheters -- diagnostic radiography -- image motion analysis -- medical image processing -- object tracking -- patient treatment
catheter detection -- catheter tracking -- cardiac electrophysiology
Catheters; Hollow probes -- Electrodes -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general -- Analysis of motion
Electrodes -- Medical imaging -- Medical X‐ray imaging -- X‐ray imaging -- X‐ray detectors -- Heart -- Eigenvalues -- X‐rays -- Radiography -- Fluoroscopy
Medical physics -- Periodicals
Medical physics
Geneeskunde
Natuurkunde
Toepassingen
Biophysics
Periodicals
Periodicals
Electronic journals
610.153 - Journal URLs:
- http://scitation.aip.org/content/aapm/journal/medphys ↗
https://aapm.onlinelibrary.wiley.com/journal/24734209 ↗
http://www.aip.org/ ↗ - DOI:
- 10.1118/1.4808114 ↗
- Languages:
- English
- ISSNs:
- 0094-2405
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 5531.130000
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