RSNA 2012

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: Sunday November 25; 11:00 am-12:30 pm
• 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: Tuesday November 27; 12:30-2:00pm
• Location: McCormick Conference Center, Chicago, Illinois

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: McCormick Conference Center, Chicago, Illinois