[Insight-users] automatic segmentation of bone in legs: which filter most suitable?
marco giordano
marco.giord at gmail.com
Wed Jan 13 11:30:37 EST 2010
Hi michiel,
I am also involved in solving a similar problem so I am interested in any
possible solution.
I did not look at the values but it seems that the bones are well delimited
and also quite homogeneous.
If you can specify a seed easily (e.g by looking at the histogram) I would
try with region growing first. The problem might be that the segmented
region overgrows if the borders are not sharp.
Also watersheds should work but It will give you a complete segmentation,
then you should select the region by yourself.
Level sets may also be an option but it might be too much for this case.
I would be curious to see the results, please share any experience.
Regards
2010/1/12 michiel mentink <michael.mentink at st-hughs.ox.ac.uk>
>
>>> The images are made with MRI.
>>> You can see the two bones in the middle.
>>>
>>> Michael
>>>
>>>
>>>
>>> On Tue, Jan 12, 2010 at 3:10 PM, siqi chen <siqichensc at gmail.com> wrote:
>>>
>>>>
>>>> If you can post one sample image, that would be helpful to determine
>>>> which filter is the appropriate one.
>>>>
>>>> Siqi
>>>>
>>>> On Tue, Jan 12, 2010 at 10:08 AM, michiel mentink <
>>>> michael.mentink at st-hughs.ox.ac.uk> wrote:
>>>>
>>>>>
>>>>> Does anyone have experience with or know which segmentation algorithm
>>>>> can be used
>>>>> best for segmenting bones in a knee?
>>>>>
>>>>> There are about 100 pages of segmentation algorithms in the ITK
>>>>> software guide..
>>>>>
>>>>> I have a DICOM volume I want to segment into a binary (labeled) volume
>>>>> and ultimately
>>>>> convert to a surface mesh of the individual bones.
>>>>>
>>>>> thanks, Michael
>>>>>
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>>>>
>>>
>>>
>>
>
> _____________________________________
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>
> Visit other Kitware open-source projects at
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>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.html
>
> Please keep messages on-topic and check the ITK FAQ at:
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--
Marco G.
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