Matt Hayes @SIIM_Tweets #SIIM18
Cardiology What’s 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 • 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 @SIIM_Tweets #SIIM18
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? @SIIM_Tweets #SIIM18
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 @SIIM_Tweets #SIIM18
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 @SIIM_Tweets #SIIM18
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 @SIIM_Tweets #SIIM18
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 @SIIM_Tweets #SIIM18
Recommend
More recommend
