Abstract
An innovative system called VirSSPA that generates personalized patients biomodels in virtual reality and physicals material to plan, support the decision making and guidance of surgical processes is presented. VirSSPA began with a R&D project financed by the Andalusia Department of Health. In this paper the image analysis, segmentation and modeling performed in VirSSPA are explained. Also, a system for surgical knowledge Management was developed. Furthermore, a review of the use of VirSSPA and its applicability in 9 different surgical specialties is shown. VirSSPA has been successfully used in more than 580 real cases. A clinical study of the results obtained in using VirSSPA shows that the complication rate was reduced by 45 % and by two hours in the operating room time in breast microvascular reconstruction by DIEAP free flap.
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Suárez-Mejías, C., Gómez-Ciriza, G., Gacto-Sánchez, P., Gómez-Cía, T., Parra-Calderón, C. (2013). Personalized Surgical Planning to Support Interventions and Training of Surgeons. In: Drechsler, K., et al. Clinical Image-Based Procedures. From Planning to Intervention. CLIP 2012. Lecture Notes in Computer Science, vol 7761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38079-2_11
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DOI: https://doi.org/10.1007/978-3-642-38079-2_11
Publisher Name: Springer, Berlin, Heidelberg
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