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Automatic Anatomy Recognition and Registration   ulas bagc?

Automatic Anatomy Recognition and Registration

168 страниц. 2010 год.
LAP Lambert Academic Publishing
This thesis tackles two major challenges in medical image analysis: image segmentation and registration. Specifically, we present a novel anatomy recognition algorithm for assisting the image segmentation task, and a novel image registration framework for accurately aligning images. Whilst the anatomy recognition study considers different clinical applications using MR (magnetic resonance) and CT (computed tomography) images, the image registration study uses MR and histological images. We have also developed a novel and effective method for registering histological images of a mouse brain in order to reconstruct the 3D volume. Experiments show that the choice of the reference slice has a significant impact on the quality of 3D reconstruction. Finally, since image intensity variations are inherent in MR images, and since the lack of a standard image intensity scale in MRI leads to many difficulties in tissue characterisability, image display, and analysis, including image...
 
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