Difference between revisions of "RSNA 2016"
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==The 3D Slicer Open-source Platform for Segmentation, Registration, Quantitative Imaging and 3D Visualization of Multi-modal Image Data== | ==The 3D Slicer Open-source Platform for Segmentation, Registration, Quantitative Imaging and 3D Visualization of Multi-modal Image Data== | ||
+ | 3D Slicer is an open-source software platform for medical image analysis used in clinical research worldwide. The software is freely available and the source code is distributed under a BSD-style open source license with no restriction on use. 3D Slicer is cross-platform and provides clinical researchers easy access to advanced image analysis tools that can be run on their Windows, Mac or Linux laptop computer with their own data. The application provides functionalities for segmentation, registration, automated measurements, quantitative imaging, image display, DICOM interoperability and structured reporting as well as other utilities such as tool tracking and real-time data fusion for image-guided therapy. 3D Slicer integrates quantitative image analysis in the imaging workflow and facilitates the translation of innovative algorithms into clinical research tools. The application is not FDA approved or CE marked, and is for research use only. 3D Slicer is supported by a multi- institution effort of NIH-funded consortia, which include the Neuroimage Analysis Center, the National Center for Image Guided Therapy, and the Quantitative Image Informatics for Cancer Research. In addition, funding from an international community of scientists contributes to some aspect of the software. Over the past 12 years, more than 3,500 clinical researchers have attended 3D Slicer training workshops worldwide. Since its release at RSNA 2011, the latest version of the software 3D Slicer version 4 has been downloaded 189,500 times. The QIRR 3D Slicer exhibit at RSNA 2016 will demonstrate new functionalities of the new 3D Slicer version 4.6. | ||
− | + | === Teaching Faculty === | |
+ | * Sonia Pujol, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA. | ||
+ | * Steve Pieper, Ph.D., Isomics Inc. | ||
+ | * Andrey Fedorov, 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 27 -Friday December 2; 8:00am-5:00pm | ||
+ | *Meet-the-expert session: Sunday Nov.27 from 12:30 pm to 1:30 pm; Monday, Nov.28 to Thursday, Dec.1 12:15-1:15 pm. | ||
+ | *Location: Exhibit LL-QRR002, Lakeside Learning Center, McCormick Conference Center, Chicago, IL. | ||
==Interoperable Communication of Quantitative Image Analysis Results Using the DICOM Standard== | ==Interoperable Communication of Quantitative Image Analysis Results Using the DICOM Standard== |
Revision as of 11:22, 12 October 2016
Home < RSNA 2016
[Page under construction] The events attended by SPL/NA-MIC representatives are listed in the calendar below. Note that due to a current known limitation of our infrastructure, you will need to manually navigate to the week of November 27 to see the relevant events.
Public Google calendar link: https://calendar.google.com/calendar/embed?src=5s4ugnk036tk9nitmj960m83rk%40group.calendar.google.com
Contents
- 1 Program events
- 1.1 The 3D Slicer Open-source Platform for Segmentation, Registration, Quantitative Imaging and 3D Visualization of Multi-modal Image Data
- 1.2 Interoperable Communication of Quantitative Image Analysis Results Using the DICOM Standard
- 1.3 Knowledge Representation of Prostatic Sector Anatomy from PI-RADS in Standard Lexicons
Program events
The 3D Slicer Open-source Platform for Segmentation, Registration, Quantitative Imaging and 3D Visualization of Multi-modal Image Data
3D Slicer is an open-source software platform for medical image analysis used in clinical research worldwide. The software is freely available and the source code is distributed under a BSD-style open source license with no restriction on use. 3D Slicer is cross-platform and provides clinical researchers easy access to advanced image analysis tools that can be run on their Windows, Mac or Linux laptop computer with their own data. The application provides functionalities for segmentation, registration, automated measurements, quantitative imaging, image display, DICOM interoperability and structured reporting as well as other utilities such as tool tracking and real-time data fusion for image-guided therapy. 3D Slicer integrates quantitative image analysis in the imaging workflow and facilitates the translation of innovative algorithms into clinical research tools. The application is not FDA approved or CE marked, and is for research use only. 3D Slicer is supported by a multi- institution effort of NIH-funded consortia, which include the Neuroimage Analysis Center, the National Center for Image Guided Therapy, and the Quantitative Image Informatics for Cancer Research. In addition, funding from an international community of scientists contributes to some aspect of the software. Over the past 12 years, more than 3,500 clinical researchers have attended 3D Slicer training workshops worldwide. Since its release at RSNA 2011, the latest version of the software 3D Slicer version 4 has been downloaded 189,500 times. The QIRR 3D Slicer exhibit at RSNA 2016 will demonstrate new functionalities of the new 3D Slicer version 4.6.
Teaching Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women’s Hospital, Boston MA.
- Steve Pieper, Ph.D., Isomics Inc.
- Andrey Fedorov, 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 27 -Friday December 2; 8:00am-5:00pm
- Meet-the-expert session: Sunday Nov.27 from 12:30 pm to 1:30 pm; Monday, Nov.28 to Thursday, Dec.1 12:15-1:15 pm.
- Location: Exhibit LL-QRR002, Lakeside Learning Center, McCormick Conference Center, Chicago, IL.
Interoperable Communication of Quantitative Image Analysis Results Using the DICOM Standard
All Day | QRR003 | Room: NA
Andriy Fedorov, PhD | Daniel L. Rubin, MD, MS | David A. Clunie, MBBS | David Flade, DIPLENG | Marco Nolden | Chris Hafey | Nicolas Rannou, MSc | Matthias Baumhauer, PhD | Hans Meine | Pattanasak Mongkolwat, PhD | Jayashree Kalpathy-Cramer, MS, PhD | Justin Kirby | Michael Onken | Joerg Riesmeier | Rudolph Pienaar, PhD | Daniel S. Marcus, PhD | Gordon J. Harris, PhD | Steve D. Pieper, PhD | Ron Kikinis, MD | Michael Baumann
Knowledge Representation of Prostatic Sector Anatomy from PI-RADS in Standard Lexicons
Tuesday 10:30-12:00 PM | SSG07 | Room: NA
David A. Clunie, MBBS | Andriy Fedorov, PhD