[Insight-users] help:About Image types can be segmented

[Luis Ibanez]

Hi Dujj,

The file format that you use to store your images is *irrelevant*
for the segmentation and registration methods in ITK.

What really matters is

    0) The image modality contained in those file { CT, MRI, PET }

    1) The pixel type used in those fileformats (char, short, float)

    2) Having correct information about pixel
       spacing and image origin

    3) How much of the pixel type dynamic range is really used.
       (eg. you can have an image of 16bits/pixel but only
        containing intensities in the range from [40:1057] ).



If you are having problems with specific images, please post to the
list the characteristics of those images:

    - size in pixels
    - pixel type
    - origin & spacing


the anatomical structures that they contain

    - brain,
    - lungs
    - kidney....


The image modality

    - CT
    - Ultra sound
    - MRI
    - PET
    - SPECT
    - fMRI
    - Microscopy....


the segmentation method that you are attempting to use

    - Watershed
    - Level sets
    - Region Growing
    - Deformable models
    - Statistical classification....



and the parameters that you set for those segmentation methods.

Without that information it is not possible to give you any
useful advice.




ITK can read many file formats. { PNG, JPEG, TIFF, BMP, Analyze,
MetaImage, GIPL, NRRD, DICOM...}

The only reason why we used .PNG for the examples in the Software Guide
is that they are stored with lossless compression and hava a good
compression ratio. Since we store all the images in CVS, that helped us
to control disk space.


  Regards,


     Luis



------------------------------------------------------------------------
杜 建军 wrote:

> all friends:
>     As we knows, all images in ItkSoftwareGuide.pdf are .png type. I 
> practice those examples , everything go well. But when I segment the 
> .bmp , .jpg and .tif , the errors happen. Now I want to know how to 
> segment images by these types, especially how to segment DICOM images.
>    thanks.
>                                                                   D.J.J 
> 
> 
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