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Event Understanding in
Endoscopic Surgery Videos
Mario Guggenberger*, Michael Riegler°, Mathias Lux*, Pål Halvorsen°
Workshop on Human Centered Event Understanding from Multimedia (HuEvent14)
*Institute of Information Technology
Alpen-Adria-Universität Klagenfurt
Austria
°Media Performance Group
Simula Research Laboratory AS
Norway
The problem: Analysis of endoscopic
surgeries
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
2
What we did
• Development of an annotation tool for endoscopic surgery videos
• Evaluation with a renowned surgeon
• Thinking aloud test & interview
• Evaluation of the evaluation
• Conceptual findings (event model)
• Technical findings (annotation tool requirements)
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
3
Take home message
• Surgeries can be seen as events
• Which contain subevents
• Hierarchical model of endoscopic
surgery events
• Granularity of the events is
connected to the type of annotation
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
4
Annotation tool
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
5
Thinking aloud test
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
6
Conceptual findings 1/2
• Surgery can be segmented into events and subevents.
• Granularity of event is directly connected to annotation type.
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
7
The event model
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
8
Technical findings 1/3
• Prepopulate timeline
• With automatically detected intervals (preprocessing step).
• With bookmarks marked as key events
during the surgery (planned).
• No interest in classical image processing methods
• E.g. image sharpness, dominant colors, movement intensity.
• Except for out-of-patient detection!
• Drawn annotations on moving video are pointless
• Except maybe with object tracking  study with Rikshospital.
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
9
Technical findings 2/3
• Tablet size (7‘‘ too small, min 10‘‘)
• Full screen video, control overlay
• Pen!
• Frame-exact seeking
• Surgeon noticed even single-frame misplacements
• Non computer savvy surgeons do not know UI paradigms
• Action feedback needs greater visual or tactile impact
• Zoomed timeline
• Separation of voice and drawn annotations anticipated
• But brings up many problems
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
10
Technical findings 3/3
• Identified stroke usage types:
• Marking borders with solid stroke
• Marking areas with dots or hatched lines (optional solid stroke border)
• Arrows to indicate directional actions
• thin pen, thick felt pen, semitransparent marker
• Zoom-in
• Export annotated stills
• FF unimportant segments, SlowMo important segments
• Render standalone video
• Multimedia integration (e.g. linking x-ray images)
• Measurements (size, area, structure, color)
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
11
A little bit of advertisement…
• ITEC MediaPlayer Library for Android
• GPL licensed, sources on GitHub
• http://git.io/SoH2ig
• API-compatible
• Frame-exact seeking
• Playback speed adjustment
• GLES support
• Shader effects, Gesture Zoom & Pan
• Frame extraction
• Supports local and network sources
• incl. MPEG-DASH
• Demo-App on the Play Store
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
12
Conclusion
• Deduced a general event model of a surgery
• direct mapping between event granularity and annotation type
• Evaluation of an annotation tool for endoscopic surgery videos
• Evaluated with a renowned surgeon
• On his own recordings
• Provided many insights, ideas and a better understanding for
developing appropriate tools and techniques to understand surgeries
better
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
13
Thank You!
Questions?
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
14

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Event Understanding in Endoscopic Surgery Videos

  • 1. Event Understanding in Endoscopic Surgery Videos Mario Guggenberger*, Michael Riegler°, Mathias Lux*, Pål Halvorsen° Workshop on Human Centered Event Understanding from Multimedia (HuEvent14) *Institute of Information Technology Alpen-Adria-Universität Klagenfurt Austria °Media Performance Group Simula Research Laboratory AS Norway
  • 2. The problem: Analysis of endoscopic surgeries Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 2
  • 3. What we did • Development of an annotation tool for endoscopic surgery videos • Evaluation with a renowned surgeon • Thinking aloud test & interview • Evaluation of the evaluation • Conceptual findings (event model) • Technical findings (annotation tool requirements) Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 3
  • 4. Take home message • Surgeries can be seen as events • Which contain subevents • Hierarchical model of endoscopic surgery events • Granularity of the events is connected to the type of annotation Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 4
  • 5. Annotation tool Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 5
  • 6. Thinking aloud test Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 6
  • 7. Conceptual findings 1/2 • Surgery can be segmented into events and subevents. • Granularity of event is directly connected to annotation type. Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 7
  • 8. The event model Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 8
  • 9. Technical findings 1/3 • Prepopulate timeline • With automatically detected intervals (preprocessing step). • With bookmarks marked as key events during the surgery (planned). • No interest in classical image processing methods • E.g. image sharpness, dominant colors, movement intensity. • Except for out-of-patient detection! • Drawn annotations on moving video are pointless • Except maybe with object tracking  study with Rikshospital. Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 9
  • 10. Technical findings 2/3 • Tablet size (7‘‘ too small, min 10‘‘) • Full screen video, control overlay • Pen! • Frame-exact seeking • Surgeon noticed even single-frame misplacements • Non computer savvy surgeons do not know UI paradigms • Action feedback needs greater visual or tactile impact • Zoomed timeline • Separation of voice and drawn annotations anticipated • But brings up many problems Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 10
  • 11. Technical findings 3/3 • Identified stroke usage types: • Marking borders with solid stroke • Marking areas with dots or hatched lines (optional solid stroke border) • Arrows to indicate directional actions • thin pen, thick felt pen, semitransparent marker • Zoom-in • Export annotated stills • FF unimportant segments, SlowMo important segments • Render standalone video • Multimedia integration (e.g. linking x-ray images) • Measurements (size, area, structure, color) Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 11
  • 12. A little bit of advertisement… • ITEC MediaPlayer Library for Android • GPL licensed, sources on GitHub • http://git.io/SoH2ig • API-compatible • Frame-exact seeking • Playback speed adjustment • GLES support • Shader effects, Gesture Zoom & Pan • Frame extraction • Supports local and network sources • incl. MPEG-DASH • Demo-App on the Play Store Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 12
  • 13. Conclusion • Deduced a general event model of a surgery • direct mapping between event granularity and annotation type • Evaluation of an annotation tool for endoscopic surgery videos • Evaluated with a renowned surgeon • On his own recordings • Provided many insights, ideas and a better understanding for developing appropriate tools and techniques to understand surgeries better Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 13
  • 14. Thank You! Questions? Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula) / HuEvent14 14

Notes de l'éditeur

  1. Documentation, training, explanations to patients Tool needs to be very simple and make it easy to capture important information fast
  2. Applies to surgical event annotation in general We had one kind of annotation that could be universally applied in every situation … but it seemed very cognitively demanding to decide which type of annotation to make out of it … so we propose to switch to an event based paradigm: 3 kinds of annotations, to cover three levels of detail Blue: low-detail, marking of intervals Red: medium-detail, speech annotations to running video Green: high-detail, speech + hand drawn annotations to still frames  type of action can be deduced from annotation type
  3. No interest in image processing because recordings are similar to movies: the interesting shots are usually deliberately archestrated and have good lighting, a stable camera, and no instruments blocking sight
  4. Pen -> no attractive technical spolution yet (S-Pen takes multitouch)
  5. We had only one type of pen/stroke, with multiple colors to choose from Zoom: interesting action often in limited area, video assistant often fails to zoom in ITEC MediaPlayer: direct replacement for native android API video player, frame exact seek, dynamic playback speed adjustment (FF, slomo), image enhancement through opengl shaders, zooming and panning, DASH network streaming support, still frame export Structure of tissue, color of liquids