Archives and Documentation Center
Digital Archives

Rigid & elastic composite registration of 3D LEG T1-weighted MR images for strain analysis

Show simple item record

dc.contributor Graduate Program in Electrical and Electronic Engineering.
dc.contributor.advisor Ertüzün, Ayşın.
dc.contributor.advisor Acar, Burak.
dc.contributor.author Derman, Ekberjan.
dc.date.accessioned 2023-03-16T10:18:10Z
dc.date.available 2023-03-16T10:18:10Z
dc.date.issued 2013.
dc.identifier.other EE 2013 E47
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12834
dc.description.abstract Strain analysis of deformation eld is a crucial step for scienti c analysis of muscle structures in MRI data sets. They are commonly used for di erent types of data analysis such as force transmission among muscles which is one of the popular topics in recent years. Especially there is a popular trend of research concentrating on force transmission among lower leg. For successfully carrying out these types of tasks, a correct and e ective deformation eld of the MRI data must be obtained in order to get the expected corresponding strain assessments. These deformation elds are usually obtained by registration framework, in which two groups of data sets were registered to one another, one serving as moving data set, which is transformed to the other target, static data set. Formerly, in registration framework, the whole region of MRI, including bones, is elastically registered to each other. However, bone tissues are relatively hard comparing to those soft muscles, elastically registering these hard tissues, which yields non-zero deformation values among these regions, could negatively a ect the correctness of the obtained nal result. For that, we can think of keeping these bone regions as xed, and then elastically register the remaining parts to obtain a deformation eld in which there would be zero deformations in the bone regions. In this work, T1-weighted MR images of lower leg of human body in undeformed and deformed states are selected as test data. We rst segment the bone regions, keep them as xed, then perform elastic registration on the remaining parts on MR images of lower legs, and compare the obtained strain analysis of deformation eld results with those from unconstrained elastic registration method. We expect to see the nal result would be better than the one obtained by unconstrained elastic registration.
dc.format.extent 30 cm.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013.
dc.subject.lcsh Magnetic resonance imaging.
dc.title Rigid & elastic composite registration of 3D LEG T1-weighted MR images for strain analysis
dc.format.pages xi, 54 leaves ;


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Archive


Browse

My Account