Slicer3:Module:Level-Set Segmentation Framework-Documentation - Revision history

Csmendo: /* Module Description */

2008-08-11T21:08:39Z

Module Description

Csmendo: /* Module Description */

2008-08-11T18:44:13Z

Module Description

Csmendo: /* Module Description */

2008-08-11T18:43:51Z

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Csmendo: /* Module Description */

2008-08-11T18:43:22Z

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Csmendo: /* Module Description */

2008-08-11T18:41:32Z

Module Description

Csmendo at 18:41, 11 August 2008

2008-08-11T18:41:19Z

Csmendo at 18:37, 11 August 2008

2008-08-11T18:37:20Z

Csmendo at 18:36, 11 August 2008

2008-08-11T18:36:34Z

Csmendo at 18:33, 11 August 2008

2008-08-11T18:33:13Z

Csmendo at 18:32, 11 August 2008

2008-08-11T18:32:36Z

@@ Line 24: / Line 24: @@
 -For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|Bubble Maker]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
--For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called [[Slicer3:Modules:Target_Preprocessing-Documentation|Target Preprocessing]] was developed.
+-For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called [[Slicer3:Module:Target_Preprocessing-Documentation|Target Preprocessing]] was developed.
 -In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called [[Slicer3:Module:Region_Selector-Documentation|Region Selector]] was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
-Finally a module called [[Slicer3:Module:Level-set_label_map_evolver-Documentation|Level-set label map evolver]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
+Finally a module called [[Slicer3:Module:Level-Set_Label_Map_Evolver-Documentation|Level-set label map evolver]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
 The output is a label image that can be used to produce a model.

@@ Line 22: / Line 22: @@
 The modules in the framework support different tasks in the segmentation realization:
--For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|"Bubble Maker"]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
+-For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|Bubble Maker]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
--For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called [[Slicer3:Modules:Target_Preprocessing-Documentation|"Target Preprocessing"]] was developed.
+-For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called [[Slicer3:Modules:Target_Preprocessing-Documentation|Target Preprocessing]] was developed.
--In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called [[Slicer3:Module:Region_Selector-Documentation|"Region Selector"]] was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
+-In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called [[Slicer3:Module:Region_Selector-Documentation|Region Selector]] was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
-Finally a module called [[Slicer3:Module:Level-set_label_map_evolver-Documentation|"Level-set label map evolver"]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
+Finally a module called [[Slicer3:Module:Level-set_label_map_evolver-Documentation|Level-set label map evolver]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
 The output is a label image that can be used to produce a model.

@@ Line 28: / Line 28: @@
 -In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called [[Slicer3:Module:Region_Selector-Documentation|"Region Selector"]] was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
-Finally a module called [[Slcier3:Module:Level-set_label_map_evolver-Documentation|"Level-set label map evolver"]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
+Finally a module called [[Slicer3:Module:Level-set_label_map_evolver-Documentation|"Level-set label map evolver"]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
 The output is a label image that can be used to produce a model.

@@ Line 22: / Line 22: @@
 The modules in the framework support different tasks in the segmentation realization:
--For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|"Bubble Maker]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
+-For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|"Bubble Maker"]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
--For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called "Target Preprocessing" was developed.
+-For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called [[Slicer3:Modules:Target_Preprocessing-Documentation|"Target Preprocessing"]] was developed.
--In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called "Region Selector" was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
+-In order for the preprocessing to take place in pseudo-interactiva time frames a region of interest must be provided by the user, preventing from unuseful calculations. A module called [[Slicer3:Module:Region_Selector-Documentation|"Region Selector"]] was developed, that takes as input three rectangles, one in each coordinate plane to define a parallelepiped.
-Finally a module called "Level-set label map evolver" was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
+Finally a module called [[Slcier3:Module:Level-set_label_map_evolver-Documentation|"Level-set label map evolver"]] was developed, which takes an initial label image and a feature image as input and performs a Geodesic Active Contours evolution on the label image according to the feature image and to a different terms in the level-set equation. The evolution takes place for a customizable number of iterations.
 The output is a label image that can be used to produce a model.

@@ Line 22: / Line 22: @@
 The modules in the framework support different tasks in the segmentation realization:
--For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|"Bubble Maker] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
+-For a level-set segmentation to be performed a seed image must be provided. A module called [[Slicer3:Module:Bubble_Maker-Documentation|"Bubble Maker]] was developed, that takes fiducials and a vector a integers as input, and produces as output a label image composed of bubbles centered in the fiducials with radii such as the integers provided.
 -For a level-set segmentation to be performed a feature image has to be extracted from the target image. That image is a smoothed, diffrentiated and remapped version of the original image. A tunable module called "Target Preprocessing" was developed.

@@ Line 2: / Line 2: @@
 ===Level-Set Segmentation Framework===
- __TOC__ {|[[Image:capture1.png|thumb|280px|Bubble seeding]] |[[Image:capture2.png|thumb|280px|Resulting segmentation]]}
+{|
 == General Information ==