2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance.
This study proposed a registration framework to fuse 2D echocardiography images of the aortic valve with preoperative cardiac CT volume. The registration facilitates the fusion of CT and echocardiography to aid the diagnosis of aortic valve diseases and provide surgical guidance during transcatheter...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1317 - 1327 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485683&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485683 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2017 vid: 55 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485683 124485683 144043573 NLM27830464 124485683 10.1007/s11517-016-1594-6 NLM27830464 124485683 ppf: 1317 ppct: 10 formats: fmt: @attributes: type: P tig: atl: 2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance. aug: au: Khalil, Azira Faisal, Amir Lai, Khin Ng, Siew Liew, Yih Lai, Khin Wee Ng, Siew Cheok Liew, Yih Miin affil: Department of Biomedical Engineering, Faculty of Engineering , University of Malaya , 50603 Kuala Lumpur Malaysia sug: subj: Diagnostic Imaging Methods Echocardiography, Three-Dimensional Methods Surgery, Computer-Assisted Methods Aortic Valve Surgery Subtraction Technique Heart Valve Prosthesis Methods Reproducibility of Results Human Aged Image Enhancement Methods Sensitivity and Specificity Aged, 80 and Over Male Aortic Valve Information Science Methods Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Aged, 80 & over Male ab: This study proposed a registration framework to fuse 2D echocardiography images of the aortic valve with preoperative cardiac CT volume. The registration facilitates the fusion of CT and echocardiography to aid the diagnosis of aortic valve diseases and provide surgical guidance during transcatheter aortic valve replacement and implantation. The image registration framework consists of two major steps: temporal synchronization and spatial registration. Temporal synchronization allows time stamping of echocardiography time series data to identify frames that are at similar cardiac phase as the CT volume. Spatial registration is an intensity-based normalized mutual information method applied with pattern search optimization algorithm to produce an interpolated cardiac CT image that matches the echocardiography image. Our proposed registration method has been applied on the short-axis "Mercedes Benz" sign view of the aortic valve and long-axis parasternal view of echocardiography images from ten patients. The accuracy of our fully automated registration method was 0.81 ± 0.08 and 1.30 ± 0.13 mm in terms of Dice coefficient and Hausdorff distance for short-axis aortic valve view registration, whereas for long-axis parasternal view registration it was 0.79 ± 0.02 and 1.19 ± 0.11 mm, respectively. This accuracy is comparable to gold standard manual registration by expert. There was no significant difference in aortic annulus diameter measurement between the automatically and manually registered CT images. Without the use of optical tracking, we have shown the applicability of this technique for effective fusion of echocardiography with preoperative CT volume to potentially facilitate catheter-based surgery. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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