Volume-volume matching

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/j098zf89h

Descriptions

Attribute Name	Values
Creator	Sandhu, Avneet
Abstract	Oftentimes in visualization, the goal of using volume datasets is not just to visualize them but also to analyze and compare them. In order to compare the two volumes, we cannot take all the voxels into consideration. The size of a typical volume data set is quite large (maybe a billion or more voxels), thus it is not feasible to compare all these voxels to all in the other volume set. This project uses optimization methods to find the best orientation for aligning a second volume data set with a first. Using these methods, we will be able to determine how well one medical data volume matches against a "normally-developed" volume of the same type.
License	All rights reserved
Resource Type	Masters Thesis
Date Available	2006-10-06T20:43:01+00:00
Date Issued	2006-09-21
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	2007
Advisor	Bailey, Mike
Committee Member	Yeh, Harry Metoyer, Ron Mortensen, Eric
Academic Affiliation	Electrical Engineering and Computer Science
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Three-dimensional imaging -- Data processing Image processing -- Digital techniques
权利声明	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
File Format	application/pdf
File Extent	3645722 bytes
Replaces	http://hdl.handle.net/1957/3128

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