Python for S60 SmartPhones PostPC Workshop Fall 2006 Amnon Dekel.
VISITS Visual Surgical Instrument Tracking System PostPC Course Project Yishai Beeri Dudi Einey.
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Transcript of VISITS Visual Surgical Instrument Tracking System PostPC Course Project Yishai Beeri Dudi Einey.
VISITSVisual Surgical Instrument
Tracking System
PostPC Course PostPC Course ProjectProject
Yishai Beeri Yishai Beeri
Dudi EineyDudi Einey
Problem: Retained Instruments
Instruments forgotten Instruments forgotten inside patientsinside patients
Happens in average Happens in average more than once a more than once a year for a large year for a large hospitalhospital
Problem: Retained Instruments
Estimated 1500 cases / year in the USEstimated 1500 cases / year in the USAccount for over 50% of malpractice claimsAccount for over 50% of malpractice claimsAverage of $60,000 compensation feesAverage of $60,000 compensation fees• Total hospital loss – about doubleTotal hospital loss – about double Several past cases of deathSeveral past cases of deathHospital reputationHospital reputationimplicationimplication
It’s a Real Problem
2/3 of incidents occurred even though 2/3 of incidents occurred even though equipment was counted before and after equipment was counted before and after procedureprocedure
Most were sponges and needles, but also Most were sponges and needles, but also metal clamps, electrodes and retractorsmetal clamps, electrodes and retractors
Most (70%) patients needed additional Most (70%) patients needed additional surgery to remove objectsurgery to remove object
Incidents are rare – but have a huge impactIncidents are rare – but have a huge impactIncidents are rare – but have a huge impactIncidents are rare – but have a huge impact
Risk Factors and Implications
Problem worse for fat patientsProblem worse for fat patients
Promoted by fatigue, emergencies or Promoted by fatigue, emergencies or complicationscomplications
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
Current Approaches
Ignore the problemIgnore the problemDoes not make the problem go awayDoes not make the problem go away
Increase liability (no best effort)Increase liability (no best effort)
Count instruments before and after surgeryCount instruments before and after surgeryError prone, fails to deliver desired resultsError prone, fails to deliver desired results
88% of incidents had a “good” count!88% of incidents had a “good” count!
Doctors do not rely on nurse countsDoctors do not rely on nurse counts
Current Approaches – cont.
[Semi]automatic instrument tracking[Semi]automatic instrument trackingRequires changed or specially made instrumentsRequires changed or specially made instruments
Time consuming – manually scan each instrumentTime consuming – manually scan each instrument
Post Operational Imaging
Recommended only as complementary measureRecommended 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
Post Operational Radiography
Sponges etc. have Sponges etc. have radiological markers radiological markers to help find them in to help find them in post-operation imagespost-operation images
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
VISITS – how is it used?
Take snapshot image of instruments on trays prior to surgery
VISITS – how is it used?
Scan additional trays during surgery, as required
VISITS – how is it used?
Compare subsequent snapshots (e.g. before stitching) to base. Also cover disposal and other locations
System identifies missing instruments
VISITS – how is it used?
Operator can manually reconcile discrepancy (e.g. implant, etc.), rescan or bypass
Minimal intrusion to operation procedure
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
VISITS in the Operating Room
Mount cameras on ceiling or wall above tray tables and above operation bed
Install UI screen
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
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
Vision Challenges: Shape Changes
Some instruments change shape
HMM and other technologies allow detection of varying shapes
Instruments may lie overlapping one another
Since original shapes are known, identification is possible:
Vision Challenges: Objects Overlap
Many objects to detect in one frame
Current vision technology can handle this - even in motion:
Vision Challenges: Multiple Objects
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
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