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VISITS Visual Surgical Instrument Tracking System PostPC Course Project Yishai Beeri Dudi Einey.

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Presentation on theme: "VISITS Visual Surgical Instrument Tracking System PostPC Course Project Yishai Beeri Dudi Einey."— Presentation transcript:

1 VISITS Visual Surgical Instrument Tracking System PostPC Course Project Yishai Beeri Dudi Einey

2 Problem: Retained Instruments Instruments forgotten inside patients Happens in average more than once a year for a large hospital

3 Problem: Retained Instruments Estimated 1500 cases / year in the US Account for over 50% of malpractice claims Average of $60,000 compensation fees Total hospital loss – about double Total hospital loss – about double Several past cases of death Hospital reputation implication

4 It’s a Real Problem 2/3 of incidents occurred even though equipment was counted before and after procedure Most were sponges and needles, but also metal clamps, electrodes and retractors Most (70%) patients needed additional surgery to remove object Incidents are rare – but have a huge impact

5 Risk Factors and Implications Problem worse for fat patients Promoted by fatigue, emergencies or complications

6 Risk Factors and Implications Emergency cases 9 times more likely Complications requiring change in procedure 4 times more likely More than one surgical team 3.5 times more likely

7 Current Approaches Ignore the problem Does not make the problem go away Increase liability (no best effort) Count instruments before and after surgery Error prone, fails to deliver desired results 88% of incidents had a “good” count! Doctors do not rely on nurse counts

8 Current Approaches – cont. [Semi]automatic instrument tracking Requires changed or specially made instruments Time consuming – manually scan each instrument

9 Post Operational Imaging Recommended only as complementary measure Not all instruments easily detected May require multiple images or image manipulation Costly (from $100 / film), might be harmful Not systematic What instrument are we looking for? Time consuming, occurs after stitching

10 Post Operational Radiography Sponges etc. have radiological markers to help find them in post-operation images

11 Solution: Use Vision Technology Automatically detect missing instruments No change to current instruments Simply mount a non-obtrusive camera in OR ceiling or wall Same handling for all instrument materials Identify instruments on trays and disposal surfaces before, during and after surgery

12 VISITS – how is it used? Take snapshot image of instruments on trays prior to surgery

13 VISITS – how is it used? Scan additional trays during surgery, as required

14 VISITS – how is it used? Compare subsequent snapshots (e.g. before stitching) to base. Also cover disposal and other locations System identifies missing instruments

15 VISITS – how is it used? Operator can manually reconcile discrepancy (e.g. implant, etc.), rescan or bypass Minimal intrusion to operation procedure

16 System Components Wall or ceiling mounted digital cameras Several cameras for several instrument “areas” Central computer for processing images Interface via a simple mounted 15”x10” screen with 2-5 buttons / touch-screen All important information at a glance

17 VISITS in the Operating Room Mount cameras on ceiling or wall above tray tables and above operation bed Install UI screen

18 VISITS - Technology Vision technology used to match images of instruments in snapshot to pre-existing database Database may contain 2D, 3D and other models for instruments Connection with hospital networks allows system to anticipate specific instrument sets

19 Vision Technology Wide variety of currently available techniques: Appearance-based/similarity matching Recognition using 2D silhouettes Invariant feature matching Regular mesh tessellation Neural networks algorithms A popular and rapidly developing field Better/faster future techniques are imminent

20 Vision Challenges: Shape Changes Some instruments change shape HMM and other technologies allow detection of varying shapes

21 Instruments may lie overlapping one another Since original shapes are known, identification is possible: Vision Challenges: Objects Overlap

22 Many objects to detect in one frame Current vision technology can handle this - even in motion: Vision Challenges: Multiple Objects

23 VISITS – Cost and Deployment Less than $300 per camera Less than $10K for entire system Hassle-free installation Virtually no training required Fits in existing administrative OR procedures Reduces time of manual counts Reduces instrument loss

24 Harness advanced vision technology to solve a real problem – retained instruments Low TCO, minimal maintenance No interference with surgeon’s work Dramatically reduce liability and avoid image-tarnishing incidents VISITS - Summary

25 References and Links Don’t show this slide! http://www.sccs.swarthmore.edu/users/01/xianglan/e27/objRecognition.html - 2D object recognition http://www.sccs.swarthmore.edu/users/01/xianglan/e27/objRecognition.html - 2D object recognitionTraceability: http://www.permanentmarking.com/etch-surgical.php http://www.permanentmarking.com/etch-surgical.php http://www.newco.co.uk/traceability.htm http://www.newco.co.uk/traceability.htm http://www.scantracksa.com/its.html http://www.scantracksa.com/its.html http://www.scantrack.net/ITS%20Overview.pdf http://www.scantrack.net/ITS%20Overview.pdf http://www.steribar.com/traceability_why.html http://www.steribar.com/traceability_why.html http://www.hospitalmanagement.net/contractors/surgical/newco/ http://www.hospitalmanagement.net/contractors/surgical/newco/ http://ordesignandconstruction.com/index.html http://ordesignandconstruction.com/index.html

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