أعرض تسجيلة المادة بشكل مبسط

dc.contributor Bailey, Mike
dc.contributor Metoyer, Ron
dc.contributor Mortensen, Eric
dc.contributor Yeh, Harry
dc.date 2006-10-06T20:43:01Z
dc.date 2006-10-06T20:43:01Z
dc.date 2006-09-21
dc.date 2006-10-06T20:43:01Z
dc.date.accessioned 2013-10-16T07:40:48Z
dc.date.available 2013-10-16T07:40:48Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/1957/3128
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1957/3128
dc.description Graduation date: 2007
dc.description 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.
dc.language en_US
dc.title Volume-volume matching
dc.type Thesis


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أعرض تسجيلة المادة بشكل مبسط