RSNA 2013 - Revision history

Grundlett: Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

2017-07-10T17:03:04Z

Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

Spujol: /* Quantitative Medical Imaging for Clinical Research and Practice */

2014-03-02T18:04:35Z

Quantitative Medical Imaging for Clinical Research and Practice

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2014-03-02T17:52:33Z

3D Interactive Visualization of DICOM images for Radiology Applications

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2014-03-02T17:48:48Z

3D Interactive Visualization of DICOM images for Radiology Applications

Spujol: /* Quantitative Medical Imaging for Clinical Research and Practice */

2013-12-10T18:28:08Z

Quantitative Medical Imaging for Clinical Research and Practice

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2013-12-10T18:27:34Z

3D Interactive Visualization of DICOM images for Radiology Applications

Spujol at 18:26, 10 December 2013

2013-12-10T18:26:43Z

Kikinis at 00:49, 5 December 2013

2013-12-05T00:49:47Z

Kikinis at 00:49, 5 December 2013

2013-12-05T00:49:27Z

Kikinis at 00:48, 5 December 2013

2013-12-05T00:48:02Z

@@ Line 66: / Line 66: @@
 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER ([http://www.SLICER.org www.slicer.org]). The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here]. A hands-on [[media:QuantitativeImaging_SoniaPujol_ RSNA2013.pdf | Quantitative Imaging tutorial]] [[media:QuantitativeImaging_SoniaPujol_RSNA2013.pptx‎ | ppt]] with pre-computed [[media:QuantitativeImaging.zip | datasets]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The  course is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.3/Training 3D Slicer Compendium].
 *CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
 *AMA PRA Category 1 Credits™: 1.5
@@ Line 82: / Line 82: @@
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
 This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2013.rsna.org  99th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2013)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pdf| 3D Visualization course]] [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pptx | ppt]] along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here].
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.3/Training 3D Slicer Compendium].
 *CME Content Code: Informatics
 *CME Credits Categories:

@@ Line 64: / Line 64: @@
 =Quantitative Medical Imaging for Clinical Research and Practice =
 [[image:Screen_Shot_2012-11-20_at_12.10.39_AM.png |right|300px]]
-Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER ([http://www.SLICER.org www.slicer.org]). The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here]. A hands-on [[media:QuantitativeImaging_SoniaPujol_ RSNA2013.pdf | Quantitative Imaging tutorial]] with pre-computed [[media:QuantitativeImaging.zip | datasets]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
+Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER ([http://www.SLICER.org www.slicer.org]). The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here]. A hands-on [[media:QuantitativeImaging_SoniaPujol_ RSNA2013.pdf | Quantitative Imaging tutorial]] [[media:QuantitativeImaging_SoniaPujol_RSNA2013.pptx‎ | ppt]] with pre-computed [[media:QuantitativeImaging.zip | datasets]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The  course is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].

@@ Line 81: / Line 81: @@
 =3D Interactive Visualization of DICOM images for Radiology Applications=
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
-This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2013.rsna.org  99th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2013)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pdf| 3D Visualization course]] [[media:3DVisualizationDICOM SoniaPujol RSNA2013.pptx | ppt]] along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here].
+This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2013.rsna.org  99th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2013)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pdf| 3D Visualization course]] [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pptx | ppt]] along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here].
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].
 *CME Content Code: Informatics

@@ Line 81: / Line 81: @@
 =3D Interactive Visualization of DICOM images for Radiology Applications=
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
-This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2013.rsna.org  99th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2013)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pdf| 3D Visualization course]] along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here].
+This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2013.rsna.org  99th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2013)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[media:3DVisualizationDICOM_SoniaPujol_RSNA2013.pdf| 3D Visualization course]] [[media:3DVisualizationDICOM SoniaPujol RSNA2013.pptx | ppt]] along with the [[Media:3DVisualization DICOM images part1.zip|3D Visualization-part1]] and [[Media:3DVisualization DICOM images part2.zip|3D Visualization-part2]]  datasets aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software. The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here].
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].
 *CME Content Code: Informatics

@@ Line 64: / Line 64: @@
 =Quantitative Medical Imaging for Clinical Research and Practice =
 [[image:Screen_Shot_2012-11-20_at_12.10.39_AM.png |right|300px]]
-Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER ([http://www.SLICER.org www.slicer.org]). The version of the software that will be used during this course can be downloaded [http://slicer.kitware.com/midas3/folder/274 here]. A hands-on [[media:QuantitativeImaging_SoniaPujol_ RSNA2013.pdf | Quantitative Imaging tutorial]] with pre-computed [[media:QuantitativeImaging.zip | datasets]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
+Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This course begins with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER ([http://www.SLICER.org www.slicer.org]). The version of the software that will be used during this course is Slicer4.3.1-1 and it can be downloaded [http://slicer.kitware.com/midas3/folder/274 here]. A hands-on [[media:QuantitativeImaging_SoniaPujol_ RSNA2013.pdf | Quantitative Imaging tutorial]] with pre-computed [[media:QuantitativeImaging.zip | datasets]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The  course is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
 For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium].

@@ Line 9: / Line 9: @@
-<gallery widths="1000px" heights="500px" perrow="1" caption="The Slicer hands-on courses were sold out">
+<gallery widths="1000px" heights="300px" perrow="1" caption="The Slicer hands-on courses were sold out">
 image:RSNA-2013-Sunday-Dec-1.JPG|Quantitative Medical Imaging for Clinical Research and Practice
 image:RSNA-2013-Tuesday-Dec-3.JPG|3D Interactive Visualization of DICOM Images for Radiology Applications