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Inside the beating heart: an in vivo feasibility study on fusing pre- and intra-operative imaging for minimally invasive therapy
- Source :
- International journal of computer assisted radiology and surgery. 4(2)
- Publication Year :
- 2008
-
Abstract
- An interventional system for minimally invasive cardiac surgery was developed for therapy delivery inside the beating heart, in absence of direct vision. A system was developed to provide a virtual reality (VR) environment that integrates pre-operative imaging, real-time intra-operative guidance using 2D trans-esophageal ultrasound, and models of the surgical tools tracked using a magnetic tracking system. Detailed 3D dynamic cardiac models were synthesized from high-resolution pre-operative MR data and registered within the intra-operative imaging environment. The feature-based registration technique was employed to fuse pre- and intra-operative data during in vivo intracardiac procedures on porcine subjects. This method was found to be suitable for in vivo applications as it relies on easily identifiable landmarks, and hence, it ensures satisfactory alignment of pre- and intra-operative anatomy in the region of interest (4.8 mm RMS alignment accuracy) within the VR environment. Our initial experience in translating this work to guide intracardiac interventions, such as mitral valve implantation and atrial septal defect repair demonstrated feasibility of the methods. Surgical guidance in the absence of direct vision and with no exposure to ionizing radiation was achieved, so our virtual environment constitutes a feasible candidate for performing various off-pump intracardiac interventions.
- Subjects :
- medicine.medical_specialty
Swine
Biomedical Engineering
Health Informatics
Virtual reality
Intracardiac injection
User-Computer Interface
Imaging, Three-Dimensional
In vivo
Region of interest
Mitral valve
Monitoring, Intraoperative
medicine
Minimally invasive cardiac surgery
Animals
Minimally Invasive Surgical Procedures
Radiology, Nuclear Medicine and imaging
Cardiac Surgical Procedures
business.industry
Ultrasound
Reproducibility of Results
General Medicine
Computer Graphics and Computer-Aided Design
Computer Science Applications
Surgery
Disease Models, Animal
medicine.anatomical_structure
Feature (computer vision)
Preoperative Period
Feasibility Studies
Computer Vision and Pattern Recognition
business
Biomedical engineering
Subjects
Details
- ISSN :
- 18616429
- Volume :
- 4
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- International journal of computer assisted radiology and surgery
- Accession number :
- edsair.doi.dedup.....7ca80635fe8aea1bff6807911ed555bc