Closed amymmorton closed 2 months ago
On this topic- chosen automated cameras need to be the same for a series set ( right now they are evaluated seperately)
A quick point of clarification:
What you want to do is for a set of static 3DCT images, optimize the camera positions across all of the images to generate a set of VRGS where each "frame" corresponds to a different image?
I think so - perhaps with some intelligent feedback if a pose in the series substantially differs in DID for a given camera view from the other volumes in the series? Suggesting that volume be assessed in a separate cfg autoscoper file (with new camera views)?
On Wed, Sep 27, 2023 at 12:32 PM Anthony Lombardi @.***> wrote:
A quick point of clarification:
What you want to do is for a set of static 3DCT images, optimize the camera positions across all of the images to generate a set of VRGS where each "frame" corresponds to a different image?
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Amy Morton, MSc
Sr. Research Engineer, Bioengineering Lab, Department of Orthopaedic Research The Warren Alpert Medical School of Brown University and Rhode Island Hospital 1 Hoppin Street, CORO West, Ste. 404, Providence, RI 02903
I think I will include this as a part of #58 (4DCT) since doing multiple volumes and 4DCT are pretty much identical. The only extra thing I will add is some way to flag frames with a DID value that is an outlier.
In regards to #53
In autoscoper we want to treat multiple 3d ct series as frames. As shown with the BN00106 cfg
4 camera views were created across 11 poses (frames)![3dct_eval](https://github.com/BrownBiomechanics/SlicerAutoscoperM/assets/65619862/0f7eeabf-0f4c-4e4d-826b-2d71786170ac)
I can load multiple dicom volumes into the scene- but ideally we'd generate all in batch