Name
Title | ||
|---|---|---|
Estimating heart shift and morphological changes during minimally invasive cardiac interventions |
Abstract | ||
|---|---|---|
Image-guided interventions rely on the common assumption that pre-operative information can depict intraoperative morphology with sufficient accuracy. Nevertheless, in the context of minimally invasive cardiac therapy delivery, this assumption loses ground; the heart is a soft-tissue organ prone to changes induced during access to the heart and especially intracardiac targets. In addition to its clinical value for cardiac interventional guidance and assistance with the image-and model-to-patient registration, here we show how ultrasound imaging may be used to estimate changes in the heart position and morphology of structures of interest at different stages in the procedure. Using a magnetically tracked 2D transesophageal echocardiography transducer, we acquired in vivo images of the heart at different stages during the procedural workflow of common minimally invasive cardiac procedures, including robot-assisted coronary artery bypass grafting, mitral valve replacement/repair, or model-enhanced US-guided intracardiac interventions, all in the coordinate system of the tracking system. Anatomical features of interest (mitral and aortic valves) used to register the pre-operative anatomical models to the intraoperative coordinate frame were identified from each dataset. This information allowed us to identify the global position of the heart and also characterize the valvular structures at various peri-operative stages, in terms of their orientation, size, and geometry. Based on these results, we can estimate the differences between the pre- and intra-operative anatomical features, their effect on the model-to-subject registration, and also identify the need to update or optimize any pre-operative surgical plan to better suit the intra-operative procedure workflow. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.845579 | Proceedings of SPIE |
Keywords | Field | DocType |
Minimally Invasive Cardiac Procedures,Data Integration for the Clinic/OR,Pre-operative Procedure Planning,Peri-operative Workflow,Intra-operative Guidance,Localization and Tracking Technologies | Mitral valve replacement,Artery,Intracardiac injection,Computer vision,Cardiac procedures,Psychological intervention,Heart position,Ultrasound imaging,CARDIAC THERAPY,Artificial intelligence,Radiology,Physics | Conference |
Volume | ISSN | Citations |
7625 | 0277-786X | 2 |
PageRank | References | Authors |
0.55 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian A. Linte | 1 | 93 | 24.09 |
| mathew carias | 2 | 2 | 0.55 |
| Daniel S. Cho | 3 | 11 | 2.09 |
| Danielle F Pace | 4 | 43 | 5.03 |
| John Moore | 5 | 166 | 25.41 |
| Chris Wedlake | 6 | 114 | 13.54 |
| Daniel Bainbridge | 7 | 119 | 16.28 |
| Bob Kiaii | 8 | 27 | 4.29 |
| Terry M. Peters | 9 | 1335 | 181.71 |