Difference between revisions of "Handling deformable transforms in Slicer meeting minutes"

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* Should it be handled on what level?
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=== Operations ===
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** MRML level (Transformable, VolumesLogic?)
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* Harden transform
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** '''Using modules (BRAINSResample, Resample Scalar/Vector/DWI Volume)''' - Subject Hierarchy would know what module can transform what objects using what transforms and use them
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*: Harden transform* is an existing capability that collapses linear transforms in a transform hierarchty.  Hardening is available as a context menu on a (data) node in the Data module. When hardened, the data object is moved in the Data module to be outside all transformations with the effect of the transform hierarchy applied. *Harden transform* is only available for transform hierarchies involving linear transforms.
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* Invertability / reversibility
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* Clone and harden
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** '''Should it create clones of the 'hardened' objects?''' - in Subject Hierarchy
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*: Clone and harden* differs from the current *Harden transform* capability in two ways:
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** Should we maintain a history in the hardened nodes?
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*# Instead of the data being moved outside of all transforms, a "copy" of the data will be moved outside of all transforms.
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** '''Harden option on drop (I can't display but can resample)''' - in Data and Transforms modules
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*# All transform types, linear and deformable, will be part of the hardening.
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* Plugin mechanism for registering non-linear transforms
+
 
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** Modules register themselves in the fashion "I can apply X type of transform to Y type objects"
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=== Proposed data type support ===
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*** The application could call these algorithms (instead of registering from outside)
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* Scalar volumes
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** GUI decision if hardened
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* Vector volumes
 +
** RGB
 +
** Vector
 +
** Displacement field
 +
* Tensor volumes
 +
* Models
 +
* Fiducials and annotations
 +
* Multivolume
 +
 
 +
=== Questions ===
 +
* Should we maintain a link between the original and hardened data?
 +
* Should only the hardened version be available for visualization?
 +
* Can you clone and harden part of the transform hierarchy?
 +
*: Harden just the non-linear portions
 +
* Which tools do we use for each type of data to harden/warp the data?
 +
* When hardening applied, the user would be presented with a list of modules that can harden each type of data?
 +
* What happens to
 +
** pixel lattice - stays the "same"
 +
*** create an axis-aligned bounding box in the world space, the number of pixels along each dimension will change
 +
** spacing - affected by the transform
 +
** orientation - affected by the transform
 +
 
 +
=== Design ===
 +
* Module can register itself as the capable of hardening certain types of data.
 +
** For now the modules containing the algorithms (BRAINSResample, Resample Scalar/Vector/DWI Volume) will be known by the class performing the hardening
 +
* Need to know the inverse of each transform
 +
** to transform the models and fiducials
 +
** to figure out how to define an appropriate lattice
 +
*** need to back transform all the edge/face voxels to find the bounding box in the world space
 +
* Three options presented to the user
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** Resample in source lattice
 +
** Resample into lattice that bounds the warping of the edge/face voxels
 +
** Resample into a target volume
 
* Where?
 
* Where?
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** Data module
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** Tie into the drag and drop of the Data module and prompt the user to harden the transform.
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** Transforms module (display tree, and add a 'Harden' button to the panels)
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** Transforms module: display tree, and add a 'Harden' button to the panels
 
** Subject Hierarchy right-click -> apply transform to branch
 
** Subject Hierarchy right-click -> apply transform to branch
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* Harden all the way up or until all the parents are linear or just one level a time?
 
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* Extend to contain bounding box
 
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** In case of non-linear transforms, go down the edges to specify the output bounding box
 
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** Options: resample in source lattice (still cloned), the one above, rsample in target volume
 
  
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Ideas
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=== Subject hierarchy ===
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* Look at the DICOM transform logic
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** Make frame of reference concept explicit in Slicer?
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* Transforms resulting from registration point back to the fixed and moving images.  This information is stored in the *attributes* of the hierarchy node.
 +
* Should we use the DICOM frame of reference concepts (frame of reference UID).
 +
* Transform map between two frames of references.
 +
* Currently, Slicer combines two concepts:
 +
** Frame of reference
 +
*** Everything "under" a transform is in the same frame of reference
 +
** Transform that maps between two frames of references
 +
*** The two frames of reference are implicitly defined by the transform hierarchy

Revision as of 15:25, 18 June 2013

Home < Handling deformable transforms in Slicer meeting minutes

Operations

  • Harden transform
    Harden transform* is an existing capability that collapses linear transforms in a transform hierarchty. Hardening is available as a context menu on a (data) node in the Data module. When hardened, the data object is moved in the Data module to be outside all transformations with the effect of the transform hierarchy applied. *Harden transform* is only available for transform hierarchies involving linear transforms.
  • Clone and harden
    Clone and harden* differs from the current *Harden transform* capability in two ways:
    1. Instead of the data being moved outside of all transforms, a "copy" of the data will be moved outside of all transforms.
    2. All transform types, linear and deformable, will be part of the hardening.

Proposed data type support

  • Scalar volumes
  • Vector volumes
    • RGB
    • Vector
    • Displacement field
  • Tensor volumes
  • Models
  • Fiducials and annotations
  • Multivolume

Questions

  • Should we maintain a link between the original and hardened data?
  • Should only the hardened version be available for visualization?
  • Can you clone and harden part of the transform hierarchy?
    Harden just the non-linear portions
  • Which tools do we use for each type of data to harden/warp the data?
  • When hardening applied, the user would be presented with a list of modules that can harden each type of data?
  • What happens to
    • pixel lattice - stays the "same"
      • create an axis-aligned bounding box in the world space, the number of pixels along each dimension will change
    • spacing - affected by the transform
    • orientation - affected by the transform

Design

  • Module can register itself as the capable of hardening certain types of data.
    • For now the modules containing the algorithms (BRAINSResample, Resample Scalar/Vector/DWI Volume) will be known by the class performing the hardening
  • Need to know the inverse of each transform
    • to transform the models and fiducials
    • to figure out how to define an appropriate lattice
      • need to back transform all the edge/face voxels to find the bounding box in the world space
  • Three options presented to the user
    • Resample in source lattice
    • Resample into lattice that bounds the warping of the edge/face voxels
    • Resample into a target volume
  • Where?
    • Tie into the drag and drop of the Data module and prompt the user to harden the transform.
    • Transforms module: display tree, and add a 'Harden' button to the panels
    • Subject Hierarchy right-click -> apply transform to branch

Subject hierarchy

  • Transforms resulting from registration point back to the fixed and moving images. This information is stored in the *attributes* of the hierarchy node.
  • Should we use the DICOM frame of reference concepts (frame of reference UID).
  • Transform map between two frames of references.
  • Currently, Slicer combines two concepts:
    • Frame of reference
      • Everything "under" a transform is in the same frame of reference
    • Transform that maps between two frames of references
      • The two frames of reference are implicitly defined by the transform hierarchy
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