Slicer3:VisualBlog
From SlicerWiki
Home < Slicer3:VisualBlogA set of slicer command line modules are now shipped as part of the Gimias tool from UPF in Barcelona! |
Northern Digital, makers of tracking systems widely used in image guided therapy, used Slicer and OpenIGTLink in their booth installation at MICCAI2010 in Beijing. |
In this screenshot CompareView layout of 3D Slicer is used to facilitate visualization of multiparametric MRI of the prostate |
Vervet Probabilistic Atlas constructed using 3D Slicer tools is available for download from NITRC. |
A Voronoi diagram used for centerline computation of a vascular tree. |
Level-set segmentation was used to segment this right coronary artery. |
Rulers and angle widgets are available for measuring distances and angles in the 3D scene |
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The 4D Image module allows handling a time-series of 3D volume images (4D image), e.g. fMRI, cardiac images, dynamic contrast-enhanced (DCE) images in 3D Slicer. |
Screenshot of 4D Analysis Module for lung perfusion data. The module provides functionality to analyze time-intensity curves in specified regions. |
Three-dimensional appearance of the lip muscles with three-dimensional isotropic MRI: An in vivo study. R. Olszewski, Y. Liu, T. Duprez, T.M. Xu, H. Reychler: Int J Comput Assist Radiol Surg. 2009 Jun;4(4):349-52. See here for the pdf |
Usability of registration algorithms: A joint effort between NA-MIC and NAC is aimed at making advanced registration technology easier to use through better documentation, a solution library and a slicer based solution service. |
A scalar bar is available from the colors module |
White matter lesion segmentation is now available as an extension to Slicer |
RSS a new interactive segmentation algorithm |
With VTK version 5.6 blazing fast new hardware accelerated volume rendering is available in slicer nightly builds (require nVidia drivers, available on Windows and Linux only). This renderer will be available in Slicer 3.6. |
FastMarching segmentation module in Slicer 3.6: Segmentation of a meningioma |
Result from the ARCTIC module in Slicer 3.6: cortical thickness map from pediatric MRI |
SynchroGrab4D reconstructs 4D (3D+time) ultrasound datasets in real-time, using a tracked 2D transducer. It is particularly useful for intraoperative imaging of moving organs, including the heart and those influenced by respiratory motion, such as the liver. |
CropVolume is a new interactive GUI module in Slicer 3.6 that allows to extract and resample an arbitrary parallelepiped shaped region from a larger scalar image volume. |
ProstateNav is an interactive GUI module in Slicer 3.6 for MRI guided robot assisted biopsy of the prostate. It supports multiple needle positioning devices: transrectal and transperineal robot and transperineal template. |
B-Spline Registration in Slicer 3.6 allows for non-rigid registration between pre-procedure MRI and intra-procedure CT images during CT guided tumor ablation in the liver. It provides increased tumor visualization during the planning, targeting and monitoring phases of the ablation procedure. |
Intra-operative querying of white matter tracts is now possible by interfacing Slicer 3.6 to the commercial BrainLab system and Yale's BioImageSuite software. |
Intra-operative navigation of a positron probe can help detect regions of high [18F]-FDG uptake, potentially improving tumor removal at resection borders. The first two image shows a PET/CT scan of the phantom showing where radiation is located, and the third image shows results as indicated by the positron probe. |
Frame from a movie showing Qt Command Line Modules. See whole movie on youtube. |
Frame from a movie showing Qt Transforms module. See whole movie on youtube or download File:QSlicerTransformsModule.ogg. |
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Early results of the Qt_in_Slicer3 effort showing new QMRMLWidgets as a plug-in for the QtDesigner application. |
Attila Nagy and his colleagues created a very nice set of presentations and animations with slicer to illustrate 3D reconstruction as applied to otorhinolaryngology. (See Notes). |
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Example experiment in craniofacial surgery planning by mirroring one side of the skull to the other. This example was done in collaboration with Will van Kampen of Xoran Technologies and was a follow up to the August 25 Slicer IGT Workshop in Boston. |
BioImageSuite module being discovered. |
BioImageSuite modules in menu. |
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Autogenerated BioImageSuite module GUI. |
Slicer command line module recognized and loaded in BioImageSuite. |
Xenios Papademetris enabled the tools in BioImageSuite to work as command line modules in slicer. |
See here for download statistics (page might take a while to load). The Piechart demonstrates the download proportions between the different OS. |
New Stochastic Tractography tools for analysis of diffusion volumes implemented as Python modules by Julien de Siebenthal. |
Four Dimensional Image (Time Series) Analysis Junichi Tokuda has implemented a slicer module for dynamic MR analysis and a general framework for working with time series volume groups. |
Intraoperative navigation experiments integrate slicer3 with the commercial BrainLab system and Yale's BioImageSuite software. |
New skull stripping extension module implemented by Xiaodong Tao. |
CompareView for Longitudinal Visualization of MS implemented by Jim Miller and demonstrated using a set of 5 scans of a patient with multiple sclerosis. Data provided by Dominik Meier of the Center for Neurological Imaging |
Constrained Level Tracing Algorithm implemented by Andrew Li and his team at Synarc built on the Slicer3 Editor module has been deployed for bone density measurements in support of clinical trials. Synarc employees participated in the 2008 Slicer Training event at Stanford University. |
Start frame from time lapse movie showing "Chameleon Tumor" progression. Video courtesy by Ervin Berenyi and Andras Jakab, Department of Medical Laboratory and Diagnostic Imaging, University of Debrecen Medical School and Health Science Center. |
Image showing the IA-FEMesh module in Slicer3. |
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Distance Transform from a label map calculated by Steve Pieper using the NumpyScript module created by Luca Antiga. See Slicer3:Python for more info. |
Exploring DTI visualization using the Neurosurgical Tutorial. A virtual probe (fiducial) was positioned in the motor cortex and used as a seed for tractography. The region adjacent to the tumor was used as a seeding area for a separate tractography, which is represented as thin lines with ellipsoid glyphs. |
Color Image Reslice Demonstrates the ability to read a sequence of jpg files as a color volume and apply 3D interactive reslice tools. Image data is Visible Human 2 courtesy of the NAC Clinical Computational Anatomy Core |
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Planning for CT Radiosurgery augmented with diffusion tractography (fibers: internal capsule, corpus callosum and the environment of the tumor, which is a metastatic tumor in the parietal lobe) Image Courtesy of University of Debrecen, Medical School and Health Science Center more information... |
Cardiac segmentation and CT Volume Rendering, February 2008 |
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Partial image update using OpenIGTLink, February 2008 |
The First MRML node rendering using CUDA February 2008 |
The First Implementation of OpenIGTLink, January 2008 |
Image from Haiying Liu, Patrick Cheng, Noby Hata, Junichi Tokuda, Luis Ibanez, and Steve Pieper, January 2008. |
Image from Steve Pieper, Luis Ibanez, Haiying Liu December 2007 |
Image from Steve Pieper, December 2007 |
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Image from Tri Ngo and Steve Pieper, November 2007 |
Image from Andy Freudling on October 2007 |
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Image from Dirk, Matthew, Jim, and Steve on Monday, August 13, 2007 |
Image from Brad and Kilian on Wednesday, June, 21, 2007 |
Image from pieper on Friday, June, 9, 2007 |
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Image from wjp on Friday, December 29, 2006 at 3:23PM |
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Image from pieper on Tuesday, August 08, 2006 at 4:26PM |
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Image from pieper on Thursday, July 27, 2006 at 5:21PM |
Image from pieper on Thursday, July 13, 2006 at 4:49PM |
Image from pieper on Monday, July 03, 2006 at 3:35PM |
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About the VisualBlog
The VisualBlog is meant to be an easy place to upload screenshot so that both developers and outside observes can track the progress of the project.
Many thanks to developers and users for contributing their images here.
