[Insight-users] leaky segmentation

Toon Huysmans denhuys@hotmail.com
Thu May 20 10:54:13 EDT 2004


This is a multi-part message in MIME format.

------=_NextPart_000_000D_01C43E61.2B78E6B0
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_000E_01C43E61.2B78E6B0"


------=_NextPart_001_000E_01C43E61.2B78E6B0
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi,

 

    I am confronted with a not so trivial segmentation task, for me at
least.  I have attached a slice from the 3D dataset.

    The structures I have to segment are tubular, and the section shows
a cross-section.  The upper tube is marked with a

    green dot, the lower tube is marked with two red dots (but it is one
tube, just for clarity).

 

    Now, I am able to get a nice initial segmentation using Curvature
Anisotropic Diffusion and Connected Thresholding.

    Then I experiment with the level-set algorithms using SNAP, starting
with the initial segmentation. It doesnt matter

    if I use a region or edge based speed-image, the two tubes always
leak into each other at the points where the edge

    between them is not so clear.

 

    Does anyone have an idea to get the edges more expressive (I already
tried gradient+sigmoid) or stop the leaking?

    Could it be possible to use a sort of competitive snakes, where I
use a seperate snake for each of the two tubes and

    the let both snakes evolve simultaneously and prohibit them from
intersecting?

 

Thanks In Advance,

 

Toon.

    


------=_NextPart_001_000E_01C43E61.2B78E6B0
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>

<head>
<META HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii">


<meta name=3DGenerator content=3D"Microsoft Word 10 (filtered)">

<style>
<!--
 /* Style Definitions */
 p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman";}
a:link, span.MsoHyperlink
	{color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{color:#606420;
	text-decoration:underline;}
p.MsoPlainText, li.MsoPlainText, div.MsoPlainText
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:10.0pt;
	font-family:"Courier New";}
p.MsoAutoSig, li.MsoAutoSig, div.MsoAutoSig
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman";}
span.EmailStijl17
	{font-family:Arial;
	color:navy;}
@page Section1
	{size:612.0pt 792.0pt;
	margin:72.0pt 90.0pt 72.0pt 90.0pt;}
div.Section1
	{page:Section1;}
-->
</style>

</head>

<body bgcolor=3Dwhite lang=3DEN-US link=3Dblue vlink=3D"#606420">

<div class=3DSection1>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Hi,</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; I am confronted with a not so =
trivial
segmentation task,&nbsp;for me at least.&nbsp; I have attached a slice =
from the
3D dataset.</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; The structures I have to segment =
are tubular,
and the section shows a cross-section.&nbsp; The upper tube is marked =
with a</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; green dot, the lower tube is =
marked with
two&nbsp;red dots (but it is one tube, just for =
clarity).</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; Now, I am able to get a nice =
initial
segmentation using Curvature Anisotropic Diffusion and Connected =
Thresholding.</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; Then I experiment with the =
level-set
algorithms using SNAP, starting with the initial segmentation. It doesnt =
matter</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; if I use a region or edge based
speed-image, the&nbsp;two tubes&nbsp;always leak into each other at the =
points
where the edge</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; between them&nbsp;is not so =
clear.</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; Does anyone have an idea to get =
the edges
more expressive (I already tried gradient+sigmoid) or stop the =
leaking?</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; Could it be possible to use a sort =
of
competitive snakes, where I use a seperate snake for each of the two =
tubes and</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; the let both snakes evolve =
simultaneously
and prohibit them from intersecting?</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Thanks In Advance,</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Toon.</span></font></p>

</div>

<div>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>&nbsp;&nbsp;&nbsp; </span></font></p>

</div>

</div>

</body>

</html>

------=_NextPart_001_000E_01C43E61.2B78E6B0--

------=_NextPart_000_000D_01C43E61.2B78E6B0
Content-Type: image/jpeg;
	name="slice2.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="slice2.jpg"
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------=_NextPart_000_000D_01C43E61.2B78E6B0--



More information about the Insight-users mailing list