Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14914
Title: Segmentation of magnetic resonance images of the spine
Authors: YUAN YI
Keywords: iterative, double-front, level set, weighted, leaking, initialized
Issue Date: 20-Sep-2005
Source: YUAN YI (2005-09-20). Segmentation of magnetic resonance images of the spine. ScholarBank@NUS Repository.
Abstract: It is much easier to get precise segmentation of CT images than of MR images. Both CT and MR scans need to be obtained of a patient for the spinal surgery. Therefore the CT segmentation results can be good initialization for the MRI segmentation. Then the MRI segmentation results would be registered to the segmented CT, which is used as reference. Resampling the MR images after translation and rotation can make the initial CT surface match the MR surface better. This iterative process is carried on until the CT surface matches the target MR surface accurately. At this stage, the CT and the MR scans have been precisely registered as we desire. The segmentation with an initialization process is much faster than a non-initialized one in that the search area is significantly reduced. The feedback process helps to prevent the registration from being stuck in a local minimum.
URI: http://scholarbank.nus.edu.sg/handle/10635/14914
Appears in Collections:Master's Theses (Open)

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