Difference between revisions of "RSNA 2012"
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=Quantitative Medical Imaging for Clinical Research and Practice = | =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 workshop will begin 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 (www.SLICER.org). Specific hands-on demonstrations with [[https://www.dropbox.com/s/xgfqtr2rzoddht6/3DSlicerData_QuantitativeImaging_Sunday_Nov25_2012_updated.zip quantitative Imaging data]] 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 workshop will begin 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 (www.SLICER.org). Specific hands-on demonstrations with [[https://www.dropbox.com/s/xgfqtr2rzoddht6/3DSlicerData_QuantitativeImaging_Sunday_Nov25_2012_updated.zip quantitative Imaging data]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma. | ||
The [[Media:QuantitativeImaging_RSNA2012_SoniaPujol.pdf | course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research. | The [[Media:QuantitativeImaging_RSNA2012_SoniaPujol.pdf | 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 [https://www.slicer.org/wiki/Documentation/4.2/Training 3D Slicer Compendium]. | ||
*CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics | *CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics | ||
*AMA PRA Category 1 Credits™: 1.5 | *AMA PRA Category 1 Credits™: 1.5 | ||
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=3D Interactive Visualization of DICOM images for Radiology Applications= | =3D Interactive Visualization of DICOM images for Radiology Applications= | ||
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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://rsna2012.rsna.org 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012)]. 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_RadiologyApplications_SoniaPujol_RSNA2012.pdf | 3D Visualization course]] along with the tutorial [https://www.dropbox.com/s/7rexukba5iogjm6/3DSlicerData_3DVisualization_RSNA2012.zip 3D Visualization 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. | 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://rsna2012.rsna.org 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012)]. 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_RadiologyApplications_SoniaPujol_RSNA2012.pdf | 3D Visualization course]] along with the tutorial [https://www.dropbox.com/s/7rexukba5iogjm6/3DSlicerData_3DVisualization_RSNA2012.zip 3D Visualization 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. | ||
| + | For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.2/Training 3D Slicer Compendium]. | ||
*CME Content Code: Informatics | *CME Content Code: Informatics | ||
*CME Credits Categories: | *CME Credits Categories: | ||
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=Quantitative Imaging Reading Room = | =Quantitative Imaging Reading Room = | ||
| + | [[image:RSNA_QIRR2012.png|right|300px]] | ||
3DSlicer: An open-source platform for segmentation, registration, quantitative imaging and 3D visualization of multi-modal image data. The 3DSlicer exhibit will consist in a series of thematic demonstrations using multi-modal image datasets, which include MRI, CT, PET and DCE. A team of 3DSlicer experts will be running the demonstrations with sample datasets or, where appropriate, data provided by attendees, and will deliver a series of daily 60-minute Meet-the-Experts sessions. The hands-on sessions will demonstrate 3D visualization functionalities (e.g. volume rendered head, thoracic and abdominal CT scans, surface rendered atlases of brain, knee, and abdomen), segmentation tools (e.g. semi-automated segmentation of a glioma case, MRI-based automated parcellation of the human brain), quantitative imaging features (e.g. longitudinal analysis of meningioma growth, PET/CT quantitative assessment of tumor response, traumatic brain injury cases follow-up) as well as image-guided therapy applications (e.g. exploration of peritumoral white matter for neurosurgical planning, registration of prostate imaging data). In addition, the exhibit will present new workflows for full brain tractography and multi-volume exploration of prostate DCE MRI data. | 3DSlicer: An open-source platform for segmentation, registration, quantitative imaging and 3D visualization of multi-modal image data. The 3DSlicer exhibit will consist in a series of thematic demonstrations using multi-modal image datasets, which include MRI, CT, PET and DCE. A team of 3DSlicer experts will be running the demonstrations with sample datasets or, where appropriate, data provided by attendees, and will deliver a series of daily 60-minute Meet-the-Experts sessions. The hands-on sessions will demonstrate 3D visualization functionalities (e.g. volume rendered head, thoracic and abdominal CT scans, surface rendered atlases of brain, knee, and abdomen), segmentation tools (e.g. semi-automated segmentation of a glioma case, MRI-based automated parcellation of the human brain), quantitative imaging features (e.g. longitudinal analysis of meningioma growth, PET/CT quantitative assessment of tumor response, traumatic brain injury cases follow-up) as well as image-guided therapy applications (e.g. exploration of peritumoral white matter for neurosurgical planning, registration of prostate imaging data). In addition, the exhibit will present new workflows for full brain tractography and multi-volume exploration of prostate DCE MRI data. | ||
=== Teaching Faculty === | === Teaching Faculty === | ||
Latest revision as of 18:07, 10 July 2017
Home < RSNA 2012
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Contents
Agenda
| Sunday, November 25 | Monday, November 26 | Tuesday, November 27 | Wednesday, November 28 | Thursday, November 29 | Friday, November 30 |
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| 8:00am-11:00am. 3D Slicer Exhibit, Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E, LL-QRR3007
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8:00am-11:00am. 3D Slicer Exhibit,, Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E
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8:00am-11:00am. 3D Slicer Exhibit, Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E
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8:00am-12:15pm. 3D Slicer Exhibit Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E
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8:00am-12:15pm. 3D Slicer Exhibit, Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E
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8:00am-12:45pm. 3D Slicer Exhibit,, Quantitative Imaging Reading Room, Lakeside Learning Center, Hall E |
Quantitative Medical Imaging for Clinical Research and Practice
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 workshop will begin 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 (www.SLICER.org). Specific hands-on demonstrations with [quantitative Imaging data] 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 3D Slicer Compendium.
- CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
- AMA PRA Category 1 Credits™: 1.5
- ARRT Category A+ Credit: 1.5
Teaching Faculty
- Katarzyna J. Macura MD, PhD., Department of Radiology and Radiological Sciences, The Johns Hopkins Medical Institutions, Baltimore, MD.
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
Logistics
- Date: Sunday November 25; 11:00 am-12:30 pm
- Location: Room S401CD , McCormick Conference Center, Chicago, IL.
3D Interactive Visualization of DICOM images for Radiology Applications
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 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012). 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 3D Visualization course along with the tutorial 3D Visualization 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. For additional training materials on the software, please visit the 3D Slicer Compendium.
- CME Content Code: Informatics
- CME Credits Categories:
- AMA PRA Category 1 Credits™: 1.5
- ARRT Category A+ Credit: 1.5
Teaching Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA.
Logistics
- Date: Tuesday November 27; 12:30-2:00pm
- Location: Room S401CD, McCormick Conference Center, Chicago, IL.
Quantitative Imaging Reading Room
3DSlicer: An open-source platform for segmentation, registration, quantitative imaging and 3D visualization of multi-modal image data. The 3DSlicer exhibit will consist in a series of thematic demonstrations using multi-modal image datasets, which include MRI, CT, PET and DCE. A team of 3DSlicer experts will be running the demonstrations with sample datasets or, where appropriate, data provided by attendees, and will deliver a series of daily 60-minute Meet-the-Experts sessions. The hands-on sessions will demonstrate 3D visualization functionalities (e.g. volume rendered head, thoracic and abdominal CT scans, surface rendered atlases of brain, knee, and abdomen), segmentation tools (e.g. semi-automated segmentation of a glioma case, MRI-based automated parcellation of the human brain), quantitative imaging features (e.g. longitudinal analysis of meningioma growth, PET/CT quantitative assessment of tumor response, traumatic brain injury cases follow-up) as well as image-guided therapy applications (e.g. exploration of peritumoral white matter for neurosurgical planning, registration of prostate imaging data). In addition, the exhibit will present new workflows for full brain tractography and multi-volume exploration of prostate DCE MRI data.
Teaching Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Andriy Fedorov, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Steve Pieper, Ph.D., Isomics Inc.
Logistics
- Date: Sunday November 25-Friday November 30; 8:00am-5:00pm
- Location: Exhibit LL-QRR3007, Lakeside Learning Center, McCormick Conference Center, Chicago, IL.
Meet the Experts Sessions
Daily one-hour Meet-The-Experts sessions will be held as part of the Quantitative Imaging Room exhibit. The sessions will give participants an opportunity to interact with the on-site faculty through software demonstrations and general question and answer sessions, which will include a series of hands-on demonstrations of the 3DSlicer modules for quantitative imaging.
