DBP3:Utah:SlicerModuleIsolatedConnected - Revision history

Sbengali at 19:55, 29 July 2013

2013-07-29T19:55:19Z

Sbengali at 18:56, 29 July 2013

2013-07-29T18:56:38Z

Sbengali at 06:26, 11 January 2013

2013-01-11T06:26:50Z

Sbengali: /* Module Description */

2013-01-11T05:55:57Z

Module Description

Sbengali at 05:55, 11 January 2013

2013-01-11T05:55:32Z

Sbengali: /* Examples, Use Cases & Tutorials */

2013-01-11T05:51:53Z

Examples, Use Cases & Tutorials

Sbengali at 05:44, 11 January 2013

2013-01-11T05:44:40Z

Sbengali at 02:24, 11 January 2013

2013-01-11T02:24:08Z

Sbengali at 00:47, 11 January 2013

2013-01-11T00:47:18Z

Sbengali: Created page with 'NOTOC ===CARMA Isolated Connected Image Filter=== {| |[[Image:connectedThreshold.jpg|thumb|280px] |} ==Authors, Collaborators & Contact== * CARMA Center, University of Utah…'

2013-01-11T00:46:14Z

Created page with '__NOTOC__ ===CARMA Isolated Connected Image Filter=== {| |[[Image:connectedThreshold.jpg|thumb|280px] |} ==Authors, Collaborators & Contact== * CARMA Center, University of Utah…'

New page

__NOTOC__
===CARMA Isolated Connected Image Filter===

{|
|[[Image:connectedThreshold.jpg|thumb|280px]
|}

==Authors, Collaborators & Contact==
* CARMA Center, University of Utah: Alan Morris, Salma Bengali, Greg Gardner, Josh Cates, Rob MacLeod

<div style="margin: 20px;">
<div style="width: 27%; float: left; padding-right: 3%;">

==General Information==
===Module Type & Category===

Type: CLI

Category: CARMA

</div>

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==Module Description==

</div>

<div style="width: 40%; float: left;">

== Usage ==

===Examples, Use Cases & Tutorials===
*

===Quick Tour of Features and Use===

The following are the inputs and outputs

*

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</div>

<div style="margin: 20px;">
<div style="width: 27%; float: left; padding-right: 3%;">

== Development ==

===Source code & documentation===

The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ GitHub repository].

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== More Information ==

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@@ Line 24: / Line 24: @@
 ==Module Description==
-This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
+This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. Multiple seed points can be used as well. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
 </div>
@@ Line 40: / Line 40: @@
 * Output image
 * Lower threshold
-* Seed1: User placed fiducial inside the region to be segmented
+* Seed1: User placed fiducial/s inside the region to be segmented
-* Seed2: User placed fiducial outside the region to be segmented
+* Seed2: User placed fiducial/s outside the region to be segmented
 </div>

@@ Line 24: / Line 24: @@
 ==Module Description==
-This module uses two seed points to segment an image. One seed point is placed within the region to be segmented, and the other is placed outside that region. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
+This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
 </div>

@@ Line 32: / Line 32: @@
 ===Examples, Use Cases & Tutorials===
-* This module is meant to be used for segmenting the entire endocardium region from a cardiac MRI or MRA image.
+* This module is meant to be used for segmenting the entire endocardium region from a cardiac MRI or MRA image. It can also be used for segmentation of structures in other types of images.
 ===Quick Tour of Features and Use===

@@ Line 3: / Line 3: @@
 {|
-|[[Image:isolatedConnected.jpg|thumb|280px]]
+|[[Image:isolatedConnected.jpg|thumb|280px|Left:Segmented Image, Center: Original Gated MRA Image]]
 |}
 ==Authors, Collaborators & Contact==
-* CARMA Center, University of Utah: Alan Morris, Salma Bengali, Greg Gardner, Josh Cates, Rob MacLeod
+* CARMA Center, University of Utah: Salma Bengali, Alan Morris, Josh Cates, Rob MacLeod
 <div style="margin: 20px;">
@@ Line 24: / Line 24: @@
 ==Module Description==
+This module uses two seed points to segment an image. One seed point is placed within the region to be segmented, and the other is placed outside that region. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
 </div>
@@ Line 32: / Line 32: @@
 ===Examples, Use Cases & Tutorials===
+* This module is meant to be used for segmenting the entire endocardium region from a cardiac MRI or MRA image.
 ===Quick Tour of Features and Use===
 The following are the inputs and outputs
+* Input image
+* Output image
 </div>

@@ Line 3: / Line 3: @@
 {|
-|[[Image:isolatedConnected.jpg|thumb|280px]
+|[[Image:isolatedConnected.jpg|thumb|280px]]
 |}

@@ Line 1: / Line 1: @@
 __NOTOC__
-===CARMA Isolated Connected Image Filter===
+===CMR Toolkit Isolated Connected Image Filter===
 {|

@@ Line 17: / Line 17: @@
 Type: CLI
-Category: CARMA
+Category: Cardiac MRI Toolkit
 </div>

@@ Line 58: / Line 58: @@
 <div style="width: 27%; float: left; padding-right: 3%;">
 </div>
 </div>