[Insight-developers] PhysicalObject & SpatialFunction

[Will Schroeder]

I am a bit uncomfortable with the name PhysicalObject, it doesn't seem to fit. How about:

- itk::Shape
- itk::Structure

Will

At 09:34 AM 11/27/2001 -0500, Luis Ibanez wrote:

>Hi,
>
>The overlap is apparent. In fact PhysicalObject  is
>internally using the SpatialFunction classes created
>by Damion. It is a similar case to what happened with the 
>vnl_optimizers and the itkOptimizers. 
>
>The SpatialFunction classes provide the core functionality
>for the PhysicalObject when it comes to test if a point
>is inside or outside the object.
>
>PhysicalObjects are intended to provide extended
>functionality like for example create and maintain an
>itkMesh around its border. PhysicalObjects are the base 
>for ModelShape segmentation and registration.
>
>PhysicalObjects are oriented to support processes like:
>
>- creating a "generic" kidney 3D model shape that can 
>  be registered with an image and then deformed 
>  in order to better fit the image content
>
>- defining anatomical context for image analysis: 
>  e.g. when looking for a Liver in a CT we can start by 
>  identifying the spine, place a 3D model there, then move 
>  on to identifying the ribs and place rib 3D models there,
>  .... and so on. It is well known that radiolgist identify 
>  structures by their context.  e.g something it may look like 
>  a liver... but it if not in the right place it should not
>  be a liver.
>
>
>SpatialFunction are more low level classes providing a very
>efficient implementation for testing in/out regions.
>
>PhysicalObject is intended to provide a framework for a high
>level representation of objects that have anatomical meaning.
>We anticipate to create an itkLiverShape class.... for example.
>
>
>
>Luis
>
>
>========================================
>
>George Stetten wrote:
>> 
>> Hi Stephen,
>> 
>> I think there may be overlap with what Damion has been developing.  We
>> create basic shapes already which we use to calibrate shape recognition and
>> measurement algorithms.
>> 
>> George
>>
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