2024.09.17 Weekly Meeting

Community Weekly meetings
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Today, we will be having our next weekly hangout at 10:00 AM ET until 11:00 AM ET

Anyone is welcome to join at this link: https://bit.ly/slicer-googlemeet-hosted-by-kitware

Agenda:

Please post to this thread to put a topic on the agenda! We will try to prioritize agenda items during the meeting.

Thanks
Sam and J-Christophe

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Hello,
I can’t make the meeting today, but wanted to let you know new versions of segment editor icons are checked in. Screenshots are in readme file at following link – please send any comments/suggestions! – cheers!

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@wenples @lassoan just a reminder that there are bunch of effects in the SegmentEditorExtraEffects extension that might be useful to include in the icon redesign (to make sure that they are visually consistent with core effects).

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Thank you for this. It would be very helpful, if possible, to have a brief description of each of the extra effects in the extension that will help inform the design work.

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There is a short description of all the effects in the github repo:

Is that sufficient?

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I’ll start there. Thank you!

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Meeting Notes

Slicer 5.8 Release

  • The Slicer 5.8 Milestone has been updated, with issues assigned and prioritized.
  • Issues related to icon design and ARM support have been postponed to a future release.
  • A tentative release date has been set for October 29th.

Dental Applications

  • Discussion on #7179: Add built-in support for Curved Planar Reformation (CPR).

GPU Volume Rendering Talk (Sept 17th)

  • Event Recap: The talk by Markus Hadwiger, PhD, on scalable GPU-based visualization for large volume data took place on 2024-09-17T15:00:00Z over Zoom. For those who missed it, the presentation highlighted key research from KAUST’s High-Performance Visualization group, focusing on scalable approaches for GPU-based volume visualization of large datasets, such as medical imaging, neurobiology, and fluid dynamics.

  • Speaker: Markus Hadwiger, PhD, Professor of Computer Science at King Abdullah University of Science and Technology (KAUST), leads the High-Performance Visualization research group. His work centers on extreme-scale visual computing and scientific visualization, including GPU algorithms and biological data visualization.

  • Talk Summary: Dr. Hadwiger discussed the challenges of interactive visualization for large-scale scientific data, presenting a novel web-based volume visualization method using a Residency Octree for biological datasets. His expertise also spans medical and biological visualization, which he covered in the session.