I was playing around yesterday with the slice I posted to this thread.<br><br>When placing one single seed, you can find the bone rather well, but there is a big risk that the region spills over into the tissue surrounding the bone.<br>
I haven't experimented yet with placing multiple seeds.<br><br>If you look at the picture, you can see that the area surrounding the cartilage is delimiting the bone very well, but the side of the bone does not produce<br>
sharp edges in the edge detect filter bit of this segmentation algorithm. <br><br>Also, I only tried one slice, and actually, I'd like to segment a complete 3D volume of the bone. That means I have to place multiple seeds along the<br>
bone and figure out some set of parameters that produces good results for every slice.<br><br>I'm a bit weary about this type of segmentation but I'll continue experimenting with it. Please let me know if you have hints/tips/suggestions/experiences<br>
regarding this.<br><br>Michael<br><br><br><br><div class="gmail_quote">On Wed, Jan 13, 2010 at 4:30 PM, marco giordano <span dir="ltr"><<a href="mailto:marco.giord@gmail.com">marco.giord@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Hi michiel,<br><br>I am also involved in solving a similar problem so I am interested in any possible solution.<br>
<br>I did not look at the values but it seems that the bones are well delimited and also quite homogeneous. <br>
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. <br><br>Also watersheds should work but It will give you a complete segmentation, then you should select the region by yourself. <br>
<br>Level sets may also be an option but it might be too much for this case.<br><br>I would be curious to see the results, please share any experience.<br><br>Regards <br><br><br><div class="gmail_quote">2010/1/12 michiel mentink <span dir="ltr"><<a href="mailto:michael.mentink@st-hughs.ox.ac.uk" target="_blank">michael.mentink@st-hughs.ox.ac.uk</a>></span><div>
<div></div><div class="h5"><br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><div class="gmail_quote"><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<div><div><div class="gmail_quote"><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<div><div><div class="gmail_quote"><br>The images are made with MRI.<br>
You can see the two bones in the middle.<br><br>Michael<div><div></div><div><br><br><br><div class="gmail_quote">On Tue, Jan 12, 2010 at 3:10 PM, siqi chen <span dir="ltr"><<a href="mailto:siqichensc@gmail.com" target="_blank">siqichensc@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><br>If you can post one sample image, that would be helpful to determine which filter is the appropriate one.<br>
<br>Siqi<br><br><div class="gmail_quote"><div><div><div></div><div>On Tue, Jan 12, 2010 at 10:08 AM, michiel mentink <span dir="ltr"><<a href="mailto:michael.mentink@st-hughs.ox.ac.uk" target="_blank">michael.mentink@st-hughs.ox.ac.uk</a>></span> wrote:<br>
</div></div></div><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><div><div></div><div><div><div></div><div><br>Does anyone have experience with or know which segmentation algorithm can be used<br>
best for segmenting bones in a knee?<br>
<br>There are about 100 pages of segmentation algorithms in the ITK software guide..<br><br>I have a DICOM volume I want to segment into a binary (labeled) volume and ultimately<br>
convert to a surface mesh of the individual bones.<br><br>thanks, Michael<br>
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