RSNA 2014
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Contents
| Sunday, November 30 | Monday, December 1 | Tuesday, December 2 | Wednesday, December 3 | Thursday, December 4 | Friday, December 5 |
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| 8:00am-12:30pm: 3D Slicer Exhibit:Quantitative Imaging Reading Room. Lakeside Learning Center Hall E, Exhibit LL-QRR3007. 12:30pm-1:30pm: Meet-The-Experts Session, 3D Slicer Exhibit: Quantitative Imaging Reading Room. 1:30pm-6:00pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. |
8:00am-11:00am: 3D Slicer Exhibit: Quantitative Imaging Reading Room. Lakeside Learning Center Hall E, Exhibit LL-QRR3007. 12:15pm-1:15pm: Meet-The-Experts Session, 3D Slicer Exhibit: Quantitative Imaging Reading Room. 12:30pm-2:00pm: RSNA Refresher Course: "3D Interactive Visualization of DICOM Images for Radiology Applications: Hands-on Workshop." 1:15pm-6:00pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. |
8:00am-12:15pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. 8:30am-10:00am: RSNA Refresher Course: "Quantitative Medical Imaging for Clinical Research and Practice: Hands-on Workshop." 12:15pm-1:15pm: Meet-The-Experts Session, 3D Slicer Exhibit: Quantitative Imaging Reading Room. |
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8:00am-12:15pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. 12:15pm-1:15pm: Meet-The-Experts Session, 3D Slicer Exhibit: Quantitative Imaging Reading Room. 1:15pm-6:00pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. |
8:00am-12:15pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. Lakeside Learning Center Hall E, Exhibit LL-QRR3007. 12:15pm-1:15pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. 1:15pm-6:00pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. |
8:00am-12:45pm: 3D Slicer Exhibit: Quantitative Imaging Reading Room. Lakeside Learning Center Hall E, Exhibit LL-QRR3007. |
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 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. A hands-on Quantitative Imaging tutorial with pre-computed 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 3D Slicer Compendium.
The RSNA quantitative Imaging Course was featured in RSNA News.
- CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
- AMA PRA Category 1 Credits™: 1.5
- ARRT Category A+ Credit: 1.5
Teaching Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Katarzyna J. Macura MD, PhD., Department of Radiology and Radiological Sciences, The Johns Hopkins Medical Institutions, Baltimore, MD.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
Logistics
- Date: Tuesday December 2, 8:30-10 am
- Location: Room S401AB, 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 100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014). 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 (PDF or PowerPoint) along with the 3D Visualization-part1 and 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 here. 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, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA.
Logistics
- Date: Monday December 1, 12:30-2:00 pm
- Location: Room S401AB, McCormick Conference Center, Chicago, IL.
- Registration: Sold-out
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, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Steve Pieper, Ph.D., Isomics Inc.
