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RISA Novel Scheme for Segmentation of T1-Weighted Brain Magnetic Resonance Images
Introduction:
Automatic brain segmentation is widely used for brain volume analysis and disease progress/remission assessment (Bandyopadhyay, 2011; Ahirwar, 2013). Some researchers attempted to employ medical brain ...
A New Automated Method for Segmentation of Brain Magnetic Resonance Images
Introduction:
Region classification is an essential process in the visualization of Brain tissues of MRI. Brain image is basically classified into three main regions which includes gray matter (GM), white matter ...
Iterative blind estimation of nonlinear channels
Tibiofemoral and patellofemoral mechanics are altered at small knee flexion angles in people with patellofemoral pain
Radiological abnormalities and low back pain in gymnasts
Tibiofemoral and patellofemoral mechanics are altered at small knee flexion angles in people with patellofemoral pain
Magnetic resonance imaging of the normal bovine digit
Abstract The purpose of this study was defining the normal structures of the digits and
hoof in Holstein dairy cattle using Magnetic Resonance Image (MRI). Transverse, Sagital
and Dorsoplantar MRI images of three isolated cattle...
Two New 1D Under-Sampling Schemes for Compressed Sensing of Brain Magnetic Resonance Images
Background and Aim:
Nowadays,MRI plays an important role in the diagnosis of neurodegenerative diseases. Unfortunately,this brilliant technology is suffered by the so much time, which has to be spent for extracting the
A New Compressed Sensing Algorithm based on Wavelet Denoising for Brain Magnetic Resonance Imaging
Background and Aim:
Although MRI is widely used to diagnose neurodegenerative diseases, it usually requires a lot of time to collect all k-space data. To tackle this problem,