Targeting accuracy under model-to-subject misalignments in model-guided cardiac surgery
| Autor: | Cristian A, Linte, John, Moore, Andrew D, Wiles, Chris, Wedlake, Terry M, Peters |
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| Rok vydání: | 2010 |
| Předmět: |
Phantoms
Imaging Cardiovascular Surgical Procedures Reproducibility of Results Heart Sensitivity and Specificity Pattern Recognition Automated Radiographic Image Enhancement Imaging Three-Dimensional Surgery Computer-Assisted Subtraction Technique Humans Radiographic Image Interpretation Computer-Assisted Artifacts Tomography X-Ray Computed Algorithms |
| Zdroj: | Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 12(Pt 1) |
| Popis: | In image-guided interventions, anatomical models of organs are often generated from pre-operative images and further employed in planning and guiding therapeutic procedures. However, the accuracy of these models, along with their registration to the subject are crucial for successful therapy delivery. These factors are amplified when manipulating soft tissue undergoing large deformations, such as the heart. When used in guiding beating-heart procedures, pre-operative models may not be sufficient for guidance and they are often complemented with real-time, intra-operative cardiac imaging. Here we demonstrate via in vitro endocardial "therapy" that ultrasound-enhanced model-guided navigation provides sufficient guidance to preserve a clinically-desired targeting accuracy of under 3 mm independently of the model-to-subject misregistrations. These results emphasize the direct benefit of integrating real-time imaging within intra-operative visualization environments considering that model-to-subject misalignments are often encountered clinically. |
| Databáze: | OpenAIRE |
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