title: X-ray and magnetic resonance imaging fusion for cardiac resynchronization therapy.
abstract: Cardiac Resynchronization Therapy (CRT) can effectively treat left ventricle (LV) driven Heart Failure (HF). However, 30% of the CRT recipients do not experience symptomatic benefit. Recent studies show that the CRT response rate can reach 95% when the LV pacing lead is placed at an optimal site at a region of maximal LV dyssynchrony and away from myocardial scars. Cardiac Magnetic Resonance (CMR) can identify the optimal site in three dimensions (3D). 3D CMR data can be registered to clinical standard x-ray fluoroscopy to achieve an optimal pacing of the LV. We have developed a 3D CMR to 2D x-ray image registration method for CRT procedures. We have employed the LV pacing lead on x-ray images and coronary sinus on MR data as landmarks. The registration method makes use of a guidewire simulation algorithm, edge based image registration technique and x-ray C-arm tracking to register the coronary sinus and pacing lead landmarks.
authors.affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada; Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Canada. Electronic address: jinwoo.choi@mail.utoronto.ca.
authors.forename: Jinwoo
authors.initials: J
authors.lastname: Choi
authors.affiliation: Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Canada.
authors.forename: Perry
authors.initials: P
authors.lastname: Radau
authors.affiliation: Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
authors.forename: Robert
authors.initials: R
authors.lastname: Xu
authors.affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada; Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
authors.forename: Graham A
authors.initials: GA
authors.lastname: Wright
mesh_terms: D000465:Algorithms; D058406:Cardiac Resynchronization Therapy / Q000379:methods*; D006333:Heart Failure / Q000000981:diagnostic imaging* / Q000517:prevention & control*; D006801:Humans; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted; D000069550:Machine Learning; D008279:Magnetic Resonance Imaging; D064847:Multimodal Imaging; D010363:Pattern Recognition, Automated; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed; D016896:Treatment Outcome; D014584:User-Computer Interface
keywords: Cardiac resynchronization therapy; Fusion; Image registration; MRI; X-ray