Hi,<br><br>I think it depends on how accurate you want it to be. You should also try look at <a href="http://sliver07.isi.uu.nl/">http://sliver07.isi.uu.nl/</a> where you can see how much trouble people actually go to segment liver accurately in CT.<br>
<br>Pechin<br><br><div class="gmail_quote">On Mon, Mar 2, 2009 at 10:30 PM, Baoyun Li <span dir="ltr"><<a href="mailto:baoyun_li123@yahoo.com">baoyun_li123@yahoo.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;">
<div><div style="font-family: times new roman,new york,times,serif; font-size: 12pt;"><div>Dear All:</div>
<div> </div>
<div>I was told by somebody that CT liver segmenatin is very simple.</div>
<div> </div>
<div>Just threshold the image, the do some conditional dilation and errosion can get good result.</div>
<div> </div>
<div>Can you please tell me your experience?</div>
<div> </div>
<div>Baoyun</div></div><br>
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<br></blockquote></div><br><br clear="all"><br>-- <br>Pechin Lo Chien Pau<br>Ph.d. Student<br>Department of Computer Science (DIKU)<br>University of Copenhagen<br>Universitetsparken 1, Office S226<br>DK-2100 Copenhagen, Denmark<br>
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