Glandular tissue pattern analysis through multimodal mri-mammography registration
Year: 2018
Type: dissertation
Abstract: Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging (MRI), leads to a more accurate diagnosis. The aim of this thesis is double, on the one hand, to evaluate the similarity between the information obtained from x-ray mammography and from MRI images and, on the other hand, to propose new registration algorithms to perform the correlation between the two image modalities. The problem includes from the biomechanical model construction, obtained from the MRI volume, the mechanical deformation, which is performed during the mammographic acquisition, the x-ray beam simulation traversing the breast in order to obtain the image (pseudo-mammogram) and the registration process to improve the similarity between the real and the synthetic images
Author: Eloy García Marcos
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2807825798