Paper
27 February 2010 Estimating heart shift and morphological changes during minimally invasive cardiac interventions
Cristian A. Linte, Mathew Carias, Daniel S. Cho, Danielle F. Pace, John Moore, Chris Wedlake, Daniel Bainbridge, Bob Kiaii, Terry M. Peters
Author Affiliations +
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 modelenhanced 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 preand 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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cristian A. Linte, Mathew Carias, Daniel S. Cho, Danielle F. Pace, John Moore, Chris Wedlake, Daniel Bainbridge, Bob Kiaii, and Terry M. Peters "Estimating heart shift and morphological changes during minimally invasive cardiac interventions", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762509 (27 February 2010); https://doi.org/10.1117/12.845579
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Cited by 5 scholarly publications.
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KEYWORDS
Heart

Process modeling

Image registration

Image acquisition

Chest

Image segmentation

Computed tomography

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