Difference between revisions of "Documentation/Nightly/Announcements"

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<gallery caption="New and Improved Extensions" widths="250px" heights="150px" perrow="4">
 
<gallery caption="New and Improved Extensions" widths="250px" heights="150px" perrow="4">
  
−
Image:screenshot.php?group_id=297&screenshot_id=573|[[Documentation/{{documentation/version}}/Extensions/ABC|ABC]] Atlas Based Classification {{updated}}
+
Image:ABC.png|[[Documentation/{{documentation/version}}/Extensions/ABC|ABC]] Atlas Based Classification {{updated}}
  
−
Image:AnglePlanes.png|[[Documentation/{{documentation/version}}/Extensions/AnglePlanesExtension|AnglePlanesExtension]] This Module is used to calculate the angle between two planes by using the normals. The user gets the choice to use two planes which are already implemented on Slicer or they can define a plane by using landmarks (at least 3 landmarks). Plane can also be saved to be reused for other models. {{new}}
+
Image:AnglePlanes Logo.png|[[Documentation/{{documentation/version}}/Extensions/AnglePlanesExtension|AnglePlanesExtension]] This Module is used to calculate the angle between two planes by using the normals {{new}}
  
−
Image:SlicerCIPLogo.png|[[Documentation/{{documentation/version}}/Extensions/Chest_Imaging_Platform|Chest_Imaging_Platform]] Chest Imaging Platform is an extension for quantitative CT imaging biomarkers for lung diseases. This work is funded by the National Heart, Lung, And Blood Institute of the National  Institutes of Health under Award Number R01HL116931. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. {{new}}
+
Image:Chest Imaging Platform.png|[[Documentation/{{documentation/version}}/Extensions/Chest_Imaging_Platform|Chest_Imaging_Platform]] Chest Imaging Platform is an extension for quantitative CT imaging biomarkers for lung diseases {{new}}
  
 
Image:BaselineFollowupSCANRegisteredCMFreg2.png|[[Documentation/{{documentation/version}}/Extensions/CMFreg|CMFreg]] is a set of tools package for cranio-maxillofacial registration {{updated}}
 
Image:BaselineFollowupSCANRegisteredCMFreg2.png|[[Documentation/{{documentation/version}}/Extensions/CMFreg|CMFreg]] is a set of tools package for cranio-maxillofacial registration {{updated}}
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Image:CurveMakerIcon.png|[[Documentation/{{documentation/version}}/Extensions/CurveMaker|CurveMaker]] is a module to generate a curve based on a list of fiducial points. {{updated}}
 
Image:CurveMakerIcon.png|[[Documentation/{{documentation/version}}/Extensions/CurveMaker|CurveMaker]] is a module to generate a curve based on a list of fiducial points. {{updated}}
  
−
Image:DebuggingTools.png|[[Documentation/{{documentation/version}}/Extensions/DebuggingTools|DebuggingTools]] This extension contains various tools useful for developing and debugging modules. Includes a tool for connecting Slicer to remote visual debugger for Python scripts using PyDev (http://pydev.org/) and node update performance statistics {{new}}
+
Image:DebuggingTools.png|[[Documentation/{{documentation/version}}/Extensions/DebuggingTools|DebuggingTools]] This extension contains various tools useful for developing and debugging modules {{new}}
  
−
Image:DeveloperToolsForExtensions.png|[[Documentation/{{documentation/version}}/Extensions/DeveloperToolsForExtensions|DeveloperToolsForExtensions]] This extension offers different tools to help developers when they create Slicer extension. {{new}}
+
Image:SlicerExtension-DeveloperToolsForExtensions.png|[[Documentation/{{documentation/version}}/Extensions/DeveloperToolsForExtensions|DeveloperToolsForExtensions]] This extension offers different tools to help developers when they create Slicer extension {{new}}
  
 
Image:DTIProcess-mj.png|[[Documentation/{{documentation/version}}/Extensions/DTIProcess| DTI Process]]: DTI processing and analysis toolkit developed at UNC and University of Utah. Tools in this toolkit include (1) dtiestim, (2) dtiprocess, (3) dtiaverage, (4) fiberprocess and (5) fiberstats. {{updated}}
 
Image:DTIProcess-mj.png|[[Documentation/{{documentation/version}}/Extensions/DTIProcess| DTI Process]]: DTI processing and analysis toolkit developed at UNC and University of Utah. Tools in this toolkit include (1) dtiestim, (2) dtiprocess, (3) dtiaverage, (4) fiberprocess and (5) fiberstats. {{updated}}
  
−
Image:DTI-Reg-icon.png|[[Documentation/{{documentation/version}}/Extensions/DTI-Reg|DTI-Reg]] DTI-Reg is an extension that performs pair-wise DTI registration, using scalar FA map to drive the registration. {{new}}
+
Image:DTI-Reg.png|[[Documentation/{{documentation/version}}/Extensions/DTI-Reg|DTI-Reg]] DTI-Reg is an extension that performs pair-wise DTI registration, using scalar FA map to drive the registration {{new}}
  
−
Image:EasyClip.png|[[Documentation/{{documentation/version}}/Extensions/EasyClip|EasyClip]] This Module is used to clip one or different 3D Models according to a predetermined plane. Plane can be saved to be reused for other models. After clipping, the models are closed and can be saved as new 3D Models. {{new}}
+
Image:EasyClipLogo.png|[[Documentation/{{documentation/version}}/Extensions/EasyClip|EasyClip]] This Module is used to clip one or different 3D Models according to a predetermined plane {{new}}
  
 
Image:GelDosimetry_Logo_128x128.png|[[Documentation/{{documentation/version}}/Modules/GelDosimetry|GelDosimetryAnalysis]] is a [[Documentation/Nightly/Developers/Slicelets|Slicelet]] covering the gel dosimetry analysis workflow used in commissioning new radiation techniques. {{updated}}
 
Image:GelDosimetry_Logo_128x128.png|[[Documentation/{{documentation/version}}/Modules/GelDosimetry|GelDosimetryAnalysis]] is a [[Documentation/Nightly/Developers/Slicelets|Slicelet]] covering the gel dosimetry analysis workflow used in commissioning new radiation techniques. {{updated}}
  
−
Image:GraphCutSegment.png|[[Documentation/{{documentation/version}}/Extensions/GraphCutSegment|GraphCutSegment]] This is a segment extension using graph cut and star shape algorithm. This extension can be used for research purposes ONLY. It can NOT be used for commercial purposes. {{new}}
+
Image:GraphCutSegment.png|[[Documentation/{{documentation/version}}/Extensions/GraphCutSegment|GraphCutSegment]] This is a segment extension using graph cut and star shape algorithm {{new}}
  
 
Image:IntensitySegmenterIcon.png|[http://www.nitrc.org/projects/dentaltools/ IntensitySegmenter] is a simple tool that segments an image according to intensity value. It is mainly used to segment CT scans using the Hounsfield scale but the ranges of intensities and their corresponding labels can be specified in an input text file. {{updated}}
 
Image:IntensitySegmenterIcon.png|[http://www.nitrc.org/projects/dentaltools/ IntensitySegmenter] is a simple tool that segments an image according to intensity value. It is mainly used to segment CT scans using the Hounsfield scale but the ranges of intensities and their corresponding labels can be specified in an input text file. {{updated}}
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Image:LumpNav.png|[[Documentation/{{documentation/version}}/Extensions/LumpNav|LumpNav]] Breast tumor resection using tracked ultrasound and cautery {{new}}
 
Image:LumpNav.png|[[Documentation/{{documentation/version}}/Extensions/LumpNav|LumpNav]] Breast tumor resection using tracked ultrasound and cautery {{new}}
  
−
Image:MarginCalculator_Logo2_128.png|[[Documentation/{{documentation/version}}/Extensions/MarginCalculator|MarginCalculator]] The Matlab Bridge extension allows running Matlab scripts as command-line interface (CLI) modules directly from 3D Slicer. The only prerequisites for running Matlab scripts are having this extension and Matlab installed on the 3D Slicer computer (building of 3D Slicer, MEX files, etc. is not needed). Extension version: 0.13.0. {{new}}
+
Image:MarginCalculator Logo2 128.png|[[Documentation/{{documentation/version}}/Extensions/MarginCalculator|MarginCalculator]] The Matlab Bridge extension allows running Matlab scripts as command-line interface (CLI) modules directly from 3D Slicer {{new}}
  
 
Image:MatlabBridgeLogo.png|[[Documentation/{{documentation/version}}/Extensions/MatlabBridge| Matlab Bridge]] to allow running Matlab functions directly in 3D Slicer.{{updated}} {{updated}}
 
Image:MatlabBridgeLogo.png|[[Documentation/{{documentation/version}}/Extensions/MatlabBridge| Matlab Bridge]] to allow running Matlab functions directly in 3D Slicer.{{updated}} {{updated}}
  
−
Image:MeshStatistics.png|[[Documentation/{{documentation/version}}/Extensions/MeshStatisticsExtension|MeshStatisticsExtension]] Mesh Statistics allows users to compute descriptive statistics over specific and predefined regions {{new}}
+
Image:MeshStatisticsExtension.png|[[Documentation/{{documentation/version}}/Extensions/MeshStatisticsExtension|MeshStatisticsExtension]] Mesh Statistics allows users to compute descriptive statistics over specific and predefined regions {{new}}
  
−
Image:MeshToLabelMapIcon128x128.png|[[Documentation/{{documentation/version}}/Extensions/MeshToLabelMap|MeshToLabelMap]] This extension computes a label map from a 3D model. {{new}}
+
Image:Icon1.png|[[Documentation/{{documentation/version}}/Extensions/MeshToLabelMap|MeshToLabelMap]] This extension computes a label map from a 3D model {{new}}
  
 
Image:Slicer4ExtensionModelToModelDistance.png|[[Documentation/{{documentation/version}}/Extensions/ModelToModelDistance|ModelToModelDistance]] This extension computes the distance between two 3D models {{updated}}
 
Image:Slicer4ExtensionModelToModelDistance.png|[[Documentation/{{documentation/version}}/Extensions/ModelToModelDistance|ModelToModelDistance]] This extension computes the distance between two 3D models {{updated}}
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Image:PETDICOMExtension.png|[[Documentation/{{documentation/version}}/Extensions/PETDICOM|PETDICOM]]: The PET DICOM Extension provides tools to import PET Standardized Uptake Value images from DICOM into Slicer. {{updated}}
 
Image:PETDICOMExtension.png|[[Documentation/{{documentation/version}}/Extensions/PETDICOM|PETDICOM]]: The PET DICOM Extension provides tools to import PET Standardized Uptake Value images from DICOM into Slicer. {{updated}}
  
−
Image:PET-IndiC.png|[[Documentation/{{documentation/version}}/Extensions/PET-IndiC|PET-IndiC]] The PET-IndiC Extension allows for fast segmentation of regions of interest and calculation of quantitative indices. {{new}}
+
Image:PET-IndiC.png|[[Documentation/{{documentation/version}}/Extensions/PET-IndiC|PET-IndiC]] The PET-IndiC Extension allows for fast segmentation of regions of interest and calculation of quantitative indices {{new}}
  
 
Image:DPetBrainQuantification.png|[[Documentation/{{documentation/version}}/Extensions/PetSpectAnalysis|PetSpectAnalysis]] First Version of the Pet Spect Analysis Extension {{new}}
 
Image:DPetBrainQuantification.png|[[Documentation/{{documentation/version}}/Extensions/PetSpectAnalysis|PetSpectAnalysis]] First Version of the Pet Spect Analysis Extension {{new}}
  
−
Image:PETTumorSegmentation.png|[[Documentation/{{documentation/version}}/Extensions/PETTumorSegmentation|PETTumorSegmentation]] Tumor and lymph node segmentation in PET scans {{new}}
+
Image:PETTumorSegmentationExtensionIcon.png|[[Documentation/{{documentation/version}}/Extensions/PETTumorSegmentation|PETTumorSegmentation]] Tumor and lymph node segmentation in PET scans {{new}}
  
−
Image:PickAndPaint.png|[[Documentation/{{documentation/version}}/Extensions/PickAndPaintExtension|PickAndPaintExtension]] Pick 'n Paint tool allows users to select ROIs on a reference model and to propagate it over different time point models. {{new}}
+
Image:PickAndPaintExtension.png|[[Documentation/{{documentation/version}}/Extensions/PickAndPaintExtension|PickAndPaintExtension]] Pick 'n Paint tool allows users to select ROIs on a reference model and to propagate it over different time point models {{new}}
  
−
Image:Q3DC.png|[[Documentation/{{documentation/version}}/Extensions/Q3DC|Q3DC]] This extension contains one module of the same name. Using placed fiducials, it allows users to compute 2D angles: Yaw, Pitch and Roll {{new}}
+
Image:Q3DC.png|[[Documentation/{{documentation/version}}/Extensions/Q3DC|Q3DC]] This extension contains one module of the same name {{new}}
  
 
Image:ReportingLogo.png|[[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] to create image annotations/markup that are stored in a structured form.{{updated}} {{updated}}
 
Image:ReportingLogo.png|[[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] to create image annotations/markup that are stored in a structured form.{{updated}} {{updated}}
  
−
Image:ResampleDTIlogEuclidean.png |[[Documentation/{{documentation/version}}/Extensions/ResampleDTIlogEuclidean|ResampleDTIlogEuclidean]] This resamples Diffusion Tensor Images (DTI) in the log-euclidean framework {{new}}
+
Image:ResampleDTIlogEuclidean.png|[[Documentation/{{documentation/version}}/Extensions/ResampleDTIlogEuclidean|ResampleDTIlogEuclidean]] This resamples Diffusion Tensor Images (DTI) in the log-euclidean framework {{new}}
  
−
Image:SlicerHeart_Logo_128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerHeart|SlicerHeart]] Modules for cardiac analysis and intervention planning and guidance {{new}}
+
Image:SlicerHeart Logo 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerHeart|SlicerHeart]] Modules for cardiac analysis and intervention planning and guidance {{new}}
  
 
Image:SlicerIGTLogo.png|[[Documentation/{{documentation/version}}/Extensions/SlicerIGT|SlicerIGT]] to use all the advanced features of 3D Slicer for real-time navigation.{{updated}} {{updated}}
 
Image:SlicerIGTLogo.png|[[Documentation/{{documentation/version}}/Extensions/SlicerIGT|SlicerIGT]] to use all the advanced features of 3D Slicer for real-time navigation.{{updated}} {{updated}}
  
−
Image:SlicerProstate_Logo_1.0_128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerProstate|SlicerProstate]] SlicerProstate extension hosts various modules to facilitate processing and management of prostate image data, utilizing prostate images in image-guided interventions and development of the imaging biomarkers of the prostate cancer. {{new}}
+
Image:SlicerProstate Logo 1.0 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerProstate|SlicerProstate]] SlicerProstate extension hosts various modules to facilitate processing and management of prostate image data, utilizing prostate images in image-guided interventions and development of the imaging biomarkers of the prostate cancer {{new}}
  
 
Image:SlicerRT Logo 2.0 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] is a tool for powerful radiotherapy research. {{updated}}
 
Image:SlicerRT Logo 2.0 128x128.png|[[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] is a tool for powerful radiotherapy research. {{updated}}
  
−
Image:Slicer-Wasp.png|[[Documentation/{{documentation/version}}/Extensions/Slicer-Wasp|Slicer-Wasp]] A module to perform a series of ITK watershed segmentation (without seeds) and then let the user create a label map out of selected components. {{new}}
+
Image:Slicer-Wasp.png|[[Documentation/{{documentation/version}}/Extensions/Slicer-Wasp|Slicer-Wasp]] A module to perform a series of ITK watershed segmentation (without seeds) and then let the user create a label map out of selected components {{new}}
  
−
Image:T1_Mapping_Logo_Resized.png|[[Documentation/{{documentation/version}}/Extensions/T1Mapping|T1Mapping]] T1 mapping estimates effective tissue parameter maps (T1) from multi-spectral FLASH MRI scans with different flip angles. {{new}}
+
Image:T1 Mapping Logo Resized.png|[[Documentation/{{documentation/version}}/Extensions/T1Mapping|T1Mapping]] T1 mapping estimates effective tissue parameter maps (T1) from multi-spectral FLASH MRI scans with different flip angles {{new}}
  
 
Image:VolumeClipLogo.png|[[Documentation/{{documentation/version}}/Extensions/VolumeClip|VolumeClip]]: Clip volumes with surface models and ROI boxes {{updated}}
 
Image:VolumeClipLogo.png|[[Documentation/{{documentation/version}}/Extensions/VolumeClip|VolumeClip]]: Clip volumes with surface models and ROI boxes {{updated}}

Revision as of 06:27, 2 November 2015

Home < Documentation < Nightly < Announcements


For the latest Slicer documentation, visit the read-the-docs.




Nightly


Summary What is 3D Slicer Slicer Nightly Highlights Slicer Training Slicer Extensions Other Improvements, Additions & Documentation

Summary

The community of Slicer developers is proud to announce the release of Slicer Nightly.

  • Slicer Nightly introduces
    • An improved App Store, known as the Extension Manager, for adding plug-ins to Slicer. More than 80 plug-ins and packages of plug-ins are currently available.
    • Close to 150 feature improvements and bug fixes have resulted in improved performance and stability.
    • Improvements to many modules.
  • Click here to download Slicer Nightly for different platforms and find pointers to the source code, mailing lists and the bug tracker.
  • Please note that Slicer continues to be a research package and is not intended for clinical use. Testing of functionality is an ongoing activity with high priority, however, some features of Slicer are not fully tested.
  • The Slicer Training page provides a series of tutorials and data sets for training in the use of Slicer.

slicer.org is the portal to the application, training materials, and the development community.

What is 3D Slicer

3D Slicer is:

  • A software platform for the analysis (including registration and interactive segmentation) and visualization (including volume rendering) of medical images and for research in image guided therapy.
  • A free, open source software available on multiple operating systems: Linux, MacOSX and Windows
  • Extensible, with powerful plug-in capabilities for adding algorithms and applications.

Features include:

  • Multi organ: from head to toe.
  • Support for multi-modality imaging including, MRI, CT, US, nuclear medicine, and microscopy.
  • Bidirectional interface for devices.

There is no restriction on use, but Slicer is not approved for clinical use and intended for research. Permissions and compliance with applicable rules are the responsibility of the user. For details on the license see here

Slicer Nightly Highlights

Slicer Training

The Slicer Training page provides a series of updated tutorials and data sets for training in the use of Slicer Nightly.


  • New Tutorials

  • This is an example of description   NEW

Slicer Extensions

  • New and Improved Extensions

  • ABC Atlas Based Classification   UPDATED

  • AnglePlanesExtension This Module is used to calculate the angle between two planes by using the normals   NEW

  • Chest_Imaging_Platform Chest Imaging Platform is an extension for quantitative CT imaging biomarkers for lung diseases   NEW

  • CMFreg is a set of tools package for cranio-maxillofacial registration   UPDATED

  • CurveMaker is a module to generate a curve based on a list of fiducial points.   UPDATED

  • DebuggingTools This extension contains various tools useful for developing and debugging modules   NEW

  • DeveloperToolsForExtensions This extension offers different tools to help developers when they create Slicer extension   NEW

  • DTI Process: DTI processing and analysis toolkit developed at UNC and University of Utah. Tools in this toolkit include (1) dtiestim, (2) dtiprocess, (3) dtiaverage, (4) fiberprocess and (5) fiberstats.   UPDATED

  • DTI-Reg DTI-Reg is an extension that performs pair-wise DTI registration, using scalar FA map to drive the registration   NEW

  • EasyClip This Module is used to clip one or different 3D Models according to a predetermined plane   NEW

  • GelDosimetryAnalysis is a Slicelet covering the gel dosimetry analysis workflow used in commissioning new radiation techniques.   UPDATED

  • GraphCutSegment This is a segment extension using graph cut and star shape algorithm   NEW

  • IntensitySegmenter is a simple tool that segments an image according to intensity value. It is mainly used to segment CT scans using the Hounsfield scale but the ranges of intensities and their corresponding labels can be specified in an input text file.   UPDATED

  • LumpNav Breast tumor resection using tracked ultrasound and cautery   NEW

  • MarginCalculator The Matlab Bridge extension allows running Matlab scripts as command-line interface (CLI) modules directly from 3D Slicer   NEW

  • Matlab Bridge to allow running Matlab functions directly in 3D Slicer.  UPDATED   UPDATED

  • MeshStatisticsExtension Mesh Statistics allows users to compute descriptive statistics over specific and predefined regions   NEW

  • MeshToLabelMap This extension computes a label map from a 3D model   NEW

  • ModelToModelDistance This extension computes the distance between two 3D models   UPDATED

  • NeedleFinder: NeedleFinder: fast interactive needle detection. It provides interactive tools to segment needles in MR/CT images. It has been mostly tested on MRI from gynelogical brachytherapy cases.   UPDATED

  • PercutaneousApproachAnalysis: The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach.   UPDATED

  • PETDICOM: The PET DICOM Extension provides tools to import PET Standardized Uptake Value images from DICOM into Slicer.   UPDATED

  • PET-IndiC The PET-IndiC Extension allows for fast segmentation of regions of interest and calculation of quantitative indices   NEW

  • PetSpectAnalysis First Version of the Pet Spect Analysis Extension   NEW

  • PETTumorSegmentation Tumor and lymph node segmentation in PET scans   NEW

  • PickAndPaintExtension Pick 'n Paint tool allows users to select ROIs on a reference model and to propagate it over different time point models   NEW

  • Q3DC This extension contains one module of the same name   NEW

  • Reporting to create image annotations/markup that are stored in a structured form.  UPDATED   UPDATED

  • ResampleDTIlogEuclidean.png

    ResampleDTIlogEuclidean This resamples Diffusion Tensor Images (DTI) in the log-euclidean framework   NEW

  • SlicerHeart Modules for cardiac analysis and intervention planning and guidance   NEW

  • SlicerIGT to use all the advanced features of 3D Slicer for real-time navigation.  UPDATED   UPDATED

  • SlicerProstate SlicerProstate extension hosts various modules to facilitate processing and management of prostate image data, utilizing prostate images in image-guided interventions and development of the imaging biomarkers of the prostate cancer   NEW

  • SlicerRT is a tool for powerful radiotherapy research.   UPDATED

  • Slicer-Wasp A module to perform a series of ITK watershed segmentation (without seeds) and then let the user create a label map out of selected components   NEW

  • T1Mapping T1 mapping estimates effective tissue parameter maps (T1) from multi-spectral FLASH MRI scans with different flip angles   NEW

  • VolumeClip: Clip volumes with surface models and ROI boxes   UPDATED

Extensions updated in both Slicer 4.4 and 4.5

Extensions removed from Slicer 4.5

  • houghTransformCLI: Removed because by the original author because it was not needed anymore.

Extensions renamed

Other Improvements, Additions & Documentation

To be done

For Developers

Under the hood

To be done

  • Build-system
    • Improved support for Visual Studio 2013


  • Improved Toolkits

  • Moved from CTK f64b68a to 1c97e54 (499 commits)

  • Moved from CTKAppLauncher v0.1.11 to v0.1.14 (43 commits)

  • Moved from ITK v4.4.1 to v4.6.0 (1089 commits)

  • Moved from OpenIGTLink 66e272d to 849b434 (53 commits)

  • Moved from Qt 4.7.4 to Qt 4.8.6

  • Moved from VTK v5.10.1 to VTK v6.2.0 (5490 commits)

Looking at the Code Changes

From a git checkout you can easily see the all the commits since the time of the 4.4.0 release: 

git log v4.3.0..HEAD

To see a summary of your own commits, you could use something like: 

git log v4.3.0..HEAD  --oneline --author=pieper

see the git log man page for more options.

Commit stats and full changelog

Related Projects

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