RSNA 2014

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 (www.slicer.org). 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.

• 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, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, 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, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.

Logistics

• Date: TBA
• Location: Room TBA , 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 ppt 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, 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: TBA
• Location: Room TBA McCormick Conference Center, Chicago, IL.

---