[Insight-developers] SPIE workshop
Nicholas Tustison
ntustison at gmail.com
Wed Aug 31 09:21:41 EDT 2011
Hello developers,
The folly of the gods has landed me with workshop responsibilities for the
upcoming SPIE 2012 Medical Imaging conference. My initial thoughts were
to have a hands-on experience for attendees where we actually use ITK and
ITK-based software to process various images focusing on the lung as and
application area. Luis gave some very good suggestions and one of them
included emailing the developers' list. I want to make sure I'm not "stepping
on anybody's toes" if they were thinking along the same lines for another
SPIE workshop and also if anybody had any additional suggestions. For
those interested, the tentative title and abstract are given below.
Thanks,
Nick
Open source software tools for lung image analysis
Accompanying recent advances in lung imaging research is the availability of open source software for corresponding quantitative analysis. Although very interesting analysis techniques are frequently described in the research literature, it is oftentimes difficult to access the software instantiations of these techniques. For the researcher who is more interested in obtaining results from their data (as opposed to methodological development), or the researcher who wishes to build upon a solid code foundation, open source packages such as the Insight Toolkit have very attractive qualities. In this workshop, participants will be given hands-on exposure to recently developed computational methods specifically applicable to lung image analysis which have been built on the Insight Toolkit. These include basic methods for segmentation and registration as well as other useful applications such as unbiased template building. Lung imaging data will be made available to participants to analyze in real time during the course of the workshop. Finally, a panel discussion from leaders in the field will engage the attendees in providing further insights regarding this important component in the research process.
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