[GRASS-user] 3D Imaging from Medical JPEGs

[Soeren Gebbert]

Hi Carl,

2007/9/22, Carl Brown <cbsled at verizon.net>:
>
> Is it possible to construct 3D images using GRASS from jpeg sources?


Yes.

CT scans and MRI scans are examples. The images are lossless grayscale jpeg
> format. (There is a standard called DICOM which would probably be the
> target
> of any serious work) Each image represents a "slice" with a known
> position,
> resolution and orientation. A number of slices are spaced at a known
> incremental spacing in the third dimension. It looks like a perfectly good
> 3D
> data source to me!


Import the jpeg images into a XY- Projection.  Create a 3d region with
g.region.
Then use r.to.rast3 to create a volume map based on the jpeg slices.
To analyse your volume map, use the r3.out.vtk export module and ParaView
which is based on the VTK Tollkit. VTK is designed to visualize and
analyze large volume data (medical MRI scans).

Best regards
Soeren

In simple terms, all that needs to be done to get started is to stack the
> slices into a 3D raster map, so as to be able to render them using NVIZ,
> for
> example, or for any other uses that anyone might devise for any other
> existing GRASS functionality.
>
> Is anyone playing with this type of application?
>
> --
> Carl Brown
> Whitefield, NH USA
>
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