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Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, August 3-4, 2009, Albuquerque, New Mexico, USA; 01/2009
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ABSTRACT: We describe a new collection of publicly available software tools for performing quantitative neuroimage analysis. The tools perform semi-automatic brain extraction, tissue classification, Talairach alignment, and atlas-based measurements within a user-friendly graphical environment. They are implemented as plug-ins for MIPAV, a freely available medical image processing software package from the National Institutes of Health. Because the plug-ins and MIPAV are implemented in Java, both can be utilized on nearly any operating system platform. In addition to the software plug-ins, we have also released a digital version of the Talairach atlas that can be used to perform regional volumetric analyses. Several studies are conducted applying the new tools to simulated and real neuroimaging data sets.
Journal of Neuroscience Methods 10/2007; 165(1):111-21. · 1.98 Impact Factor
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Bradford J Wood,
Julia K Locklin,
Anand Viswanathan,
Jochen Kruecker,
Dieter Haemmerich,
Juan Cebral,
Ariela Sofer,
Ruida Cheng,
Evan McCreedy,
Kevin Cleary, Matthew J McAuliffe,
Neil Glossop,
Jeff Yanof
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ABSTRACT: Several new image-guidance tools and devices are being prototyped, investigated, and compared. These tools are introduced and include prototype software for image registration and fusion, thermal modeling, electromagnetic tracking, semiautomated robotic needle guidance, and multimodality imaging. The integration of treatment planning with computed tomography robot systems or electromagnetic needle-tip tracking allows for seamless, iterative, "see-and-treat," patient-specific tumor ablation. Such automation, navigation, and visualization tools could eventually optimize radiofrequency ablation and other needle-based ablation procedures and decrease variability among operators, thus facilitating the translation of novel image-guided therapies. Much of this new technology is in use or will be available to the interventional radiologist in the near future, and this brief introduction will hopefully encourage research in this emerging area.
Journal of Vascular and Interventional Radiology 02/2007; 18(1 Pt 1):9-24. · 2.08 Impact Factor
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ABSTRACT: The radio frequency ablation segmentation tool (RFAST) is a software application developed using the National Institutes of Health's medical image processing analysis and visualization (MIPAV) API for the specific purpose of assisting physicians in the planning of radio frequency ablation (RFA) procedures. The RFAST application sequentially leads the physician through the steps necessary to register, fuse, segment, visualize, and plan the RFA treatment. Three-dimensional volume visualization of the CT dataset with segmented three dimensional (3-D) surface models enables the physician to interactively position the ablation probe to simulate burns and to semimanually simulate sphere packing in an attempt to optimize probe placement. This paper describes software systems contained in RFAST to address the needs of clinicians in planning, evaluating, and simulating RFA treatments of malignant hepatic tissue.
IEEE Transactions on Information Technology in Biomedicine 08/2006; 10(3):490-6. · 1.68 Impact Factor
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IEEE Transactions on Information Technology in Biomedicine. 01/2006; 10:490-496.
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18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 23-24 June 2005, Dublin, Ireland; 01/2005
