This research investigates the technique of image subtraction to find the discrepancy between healthy and illness MRI images. The technique developed in this research moves the healthy MRI image to overlap with the illness MRI image. Then, the two MRI images are aligned to the same orientation. After the healthy MRI image is overlapped with the illness MRI image, the illness MRI image is subtra...

Background: To date, several imaging techniques to track stem cells are used such as positron emission tomography (PET), single photon emission computed tomography (SPECT), Bioluminescence imaging (BLI), fluorescence imaging, CT scan and magnetic resonance imaging (MRI). Although, overall sensitivity of MRI compared to SPECT and Bioluminescence techniques are lower, but due to high spatial reso...

Abstract Magnetic Resonance Imaging (MRI) is widely adopted in medical diagnosis. Due to the spatial coding scheme, MRI image degraded by various noise. Recently, massive methods have been applied denoising. However, they lack consideration of artifacts images. In this paper, we propose an unsupervised denoising method called UEGAN based on decoupled expression. We decouple content and noise a ...