Guided filter‐based images fusion algorithm for CT and MRI medical images

Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.

Magnetic resonance imaging (MRI)-guided attenuation correction (AC) of positron emission tomography (PET) data and/or radiation therapy (RT) treatment planning is challenged by the lack of a direct link between MRI voxel intensities and electron density. Therefore, even if this is not a trivial task, a pseudo-computed tomography (CT) image must be predicted from MRI alone. In this work, we prop...

Model Guided Rendering for Medical Images

Registration of CT and MRI brain images

The purpose of a registration process is to find a geometric transformation, that relates corresponding voxels in two different 3D images of the same object. We present an algorithm based on maximization of mutual information and its medical applications.

Image Fusion On MR And CT Images

Medical imaging has emerged as one of the most important tools to identify as well as diagnose various disorders. The main objective of medical imaging is to obtain high resolution image details as with as much details as possible for correct diagnosis. There are several medical imaging techniques such as MRI and CT imaging techniques. Both give special sophisticated characteristics of the orga...

CT and MRI Brain Images Registration for Clinical Applications

Image registration is a vital problem in medical imaging. Image registration is the process of geometrically aligning two or more images acquired from different viewpoints that is multiview registration, at different times that is multi temporal registration, by different sensors that is multimodal registration. In multi view analysis the images may differ in translation, rotation, scaling or m...