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CODE:
LL-IN3045
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A New Computerized System Making 3D Segmentations from DICOM Images to Help Online on Laparoscopic Interventions: Application to Gastroplasty and Cholecystectomy
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DISCLOSURES |
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A.O.
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- Nothing to disclose.
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J.B.
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- Nothing to disclose.
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R.B.
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- Nothing to disclose.
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J.N.
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- Nothing to disclose.
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M.B.
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- Nothing to disclose.
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P.D.
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- Nothing to disclose.
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.e.
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LEARNING OBJECTIVES |
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To describe a new PC based software used for 3D segmentations from CT scan or MR images. To present a new use for an Augmented Reality system helping in preoperative and operative surgery for gastroplasty and cholecystectomy under laparoscopy. To use segmented 3D volumes to decide what kind of surgery should be employed.
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ABSTRACT |
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Nowadays surgical acts are directed towards the use of laparoscopy. However, its planning requires an exhaustive analysis of pre-operative images. The new system we present includes specific tools for 3D segmentation; it allows an operator to reconstruct clinically interesting organs and lesions from CT-scan and MR images, calculate their volumes, and compute anatomical landmarks. Reconstructions of liver, gallbladder and stomach help to decide what kind of surgery is needed. Landmarks are used for the precise projection in real time of the reconstructed organs over the patient’s skin, making them appear in transparency. This technique has been successfully used on line for gastroplasties and cholecystectomies, respectively saving an overall time of 21% and 14%. In both cases the gain mostly comes from the surgeon's ability to see "through" the skin, thus allowing more precise and faster surgical acts under laparoscopy. The process is very useful for the trocarts placement. (An author of this exhibit will be available each day, Sunday-Thursday, 10:00 am – 2:00 pm, and Friday, 10:00 am – 12:45 pm.)
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QUESTIONS ABOUT THIS EVENT EMAIL: |
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osorio@limsi.fr |
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