Abstract #3519
Using Dimensionality Reduction to Explore Virtual Reality Lobectomies
Allen Q. Ye 1 , Olusola Ajilore 2 , Alessandro Febretti 3 , Andrew Johnson 3 , Johnson GadElkarim 2 , Shaolin Yang 2 , Richard Magin 1 , Anand Kumar 2 , and Alex D. Leow 2
1
Dept. of Bioengineering, University of
Illinois at Chicago, Chicago, IL, United States,
2
Dept.
of Psychiatry, University of Illinois at Chicago,
Chicago, IL, United States,
3
Dept.
of Computer Science, University of Illinois at Chicago,
Chicago, IL, United States
This abstract presents the utility of using
dimensionality reduction to visualize lobectomies in a
virtual reality environment. Exploration of a Monte
Carlo simulation of lobectomies, along with targeted
rich club removal was performed and displayed using
the Omegalib framework. Results show a significant
increase in overall distance for the dimensionality
reduced embedding for the targeted versus random
removal. Qualitative results also show a stark change
between random removals and targeted removal.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
