[Insight-users] Bone Segmentation from MR Volume

[Luis Ibanez]

Hi Taruna,

Thanks for the clarification.

You may want to consider a pre-processing stage
for correcting field inhomogeneity.    Such correction
will make a lot easier to run LevelSets or RegionGrowing
algorithms.


    Regards,

          Luis


-------------------------------------------
On Fri, Jul 24, 2009 at 7:39 AM, Taru S <swork24 at gmail.com> wrote:

> Hello Luis,
>
> I haven't been correcting my images for field inhomogenity before running
> the segmentations.
>
> I do need to extract all the anatomical structures inside the knee
> including the soft tissue, skin, bones etc so can't go with the CT volumes.
>
> Thanks,
> Taruna
>
>
>
> On Thu, Jul 23, 2009 at 10:11 PM, Luis Ibanez <luis.ibanez at kitware.com>wrote:
>
>>
>> Hi Taru,
>>
>> Are you correcting your images for field inhomogenity
>> before running the segmentations ?
>>
>>
>>  Please let us know,
>>
>>
>>       Luis
>>
>>
>> -----------------
>> Taru S wrote:
>>
>>> /Dear ITK developers,
>>>
>>> /
>>> I  am working on the segmentation of the anatomical structures from the
>>> knee MR 3D volume. I tried some of the region growing segmentation
>>> algorithms (confidence connected, connected threshold, neighborhood
>>> connected etc) and got some success with the segmentation of the Tibia bone
>>> but the results aren't good for the Femur.
>>>  The intensity based thresholds don't work well with the MR so it is hard
>>> to define the anatomical boundaries.
>>>  I tried  ITK-SNAP for the same. The Region Competition approach works
>>> well for Tibia but not for others because of the intensity issue.  The Edge
>>> Feature approach results in leaks ( I tried different advection and
>>> curvature velocities wrt propagation vel ).
>>>  I will really appreciate your advise on the approach I should follow for
>>> this segmentation.
>>>  Thank You,
>>> Taru
>>>
>>>
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