RSNA 2012

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3D Interactive Visualization of DICOM images

The 3D Interactive Visualization of DICOM Images for Radiology Applications 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 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.

• 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
• Time: TBA
• Location: McCormick Conference Center, Chicago, Illinois

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 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.

• 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, M.D.
• 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: TBA
• Time:TBA
• Location: TBA McCormick Conference Center, Chicago, Illinois