Matt Hayes @SIIM_Tweets #SIIM18 Cardiology Whats in your Data? - - PowerPoint PPT Presentation

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Matt Hayes @SIIM_Tweets #SIIM18 Cardiology Whats in your Data? - - PowerPoint PPT Presentation

Matt Hayes @SIIM_Tweets #SIIM18 Cardiology Whats in your Data? @SIIM_Tweets #SIIM18 Disclosures None Mom says I'm awesome. @SIIM_Tweets #SIIM18 Not just CT & MR @SIIM_Tweets #SIIM18 Cardiology: Standardly Non- Standard


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SLIDE 1

#SIIM18

@SIIM_Tweets

Matt Hayes

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SLIDE 2

#SIIM18

@SIIM_Tweets

Cardiology

What’s in your Data?

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SLIDE 3

#SIIM18

@SIIM_Tweets

Disclosures

  • None
  • Mom says I'm awesome.
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SLIDE 4

#SIIM18

@SIIM_Tweets

Not just CT & MR

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SLIDE 5

#SIIM18

@SIIM_Tweets

Cardiology: Standardly Non- Standard

  • Still have many examples of classic DICOM
  • XA (multi-frame 2D angiography, i.e. plain film movies)
  • Echo/Vascular (multi-frame ultrasound)
  • SR measurements
  • Storage Space manageable.
  • Known protocol
  • Little variance
  • Easy to transport
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SLIDE 6

#SIIM18

@SIIM_Tweets

Cardiology: Standardly Non- Standard

  • Many examples of non-standards everywhere:
  • Waveforms (non-DICOM)
  • Hemodynamics/ full disclosures
  • EP
  • EKG
  • Implants
  • Advanced Visualizations
  • Reformatted Volumes
  • Echo 3D, 4D and strain data sets
  • Nuclear Medicine
  • Secondary caps vs. raw data
  • Measurements? What did you buy? What does your viz support?
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SLIDE 7

#SIIM18

@SIIM_Tweets

Cardiology: Standardly Non- Standard

  • DICOM SR
  • Structure
  • XML?
  • Varies by vendor – Uniformity of subspecialty nomenclature
  • Varies by software version. Did you upgrade? Did you validate
  • Does proper processing exist on both sides.
  • Databasing? What’s your app doing with the data?
  • Private tags
  • Still an issue
  • Where do the nuggets hide to get mined?
  • Do you know what to do with them?
  • Data explosion
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SLIDE 8

#SIIM18

@SIIM_Tweets

Ultimate Problem

  • One Data Set. Multiple tools.
  • Viewer
  • Measurement/post processing
  • Reporting – EI vs. EMR
  • Most of the time, viewers or tools aren’t cacheless. Need local

storage

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SLIDE 9

#SIIM18

@SIIM_Tweets

Turf wars

  • TAVR
  • Rad have the toys (MR/CT), who gets the info?
  • Where does report come from?
  • Vendor inputs, offline cloud processing.
  • STRESS
  • Cards get treadmill, who gets images?
  • Vascular Imaging
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SLIDE 10

#SIIM18

@SIIM_Tweets

What’s next?

  • New modalities
  • OCT?
  • Fusion intra-procedure guidance (Cath/MR/CT/US)
  • PET/MR
  • FFR
  • Machine learning
  • What are we looking at
  • Study quality
  • Data consistency i.e. Echo machine measurements
  • AR/VR
  • 3D printing