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|Title:||A 3-D image registration technique based on fuzzy logic||Authors:||Klaymeh, Cosette||Advisors:||Abche, Antoine||Keywords:||Image registration, multimodal, medical images, transformation parameters, fuzzy logic, spatial coincidence||Issue Date:||2022||Abstract:||
A 3-D multimodal registration approach to bring 3-D medical images acquired by the same or different imaging modalities into spatial correspondence using external markers is proposed and presented. The registration technique estimates the unknown transformation parameters using a fuzzy logic technique. The transformation consists of nine parameters: three magnification parameters (one parameter along each axis), three translation parameters (one parameter along each axis) and three rotation parameters represented by the three Euler angles. Having aligned the two sets of images in the same coordinate system, the developed method is studied quantitatively using Monte Carlo simulation techniques. Consequently, its performance is evaluated by assessing the residuals of the external 3-D points that are used in estimating the registration transformation, the residuals of the registration parameters as well as the residuals of regions in the generated simulated head. The results show that the developed approach is successful in estimating the parameters and the precision is acceptable.
Includes bibliographical references (p. 94-98)
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/5938||Rights:||This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder||Type:||Thesis|
|Appears in Collections:||UOB Theses and Projects|
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