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Magnetic resonance imaging (MRI) optimized to reduce image artifacts and distorsions by metallic implants is important for diagnosis of ARMD (Haddad et al. 2011).
Different approaches to reduce image artefacts in intraoperative ultrasound imaging of brain tumors are described, including the development of a novel acoustic coupling fluid.
Whilst artefacts inherent to CL data reduce image quality compared with computed tomography (CT), imaging regions of interest in large planar samples greatly increases the engineering applicability.
Simple methods are demonstrated in this paper to reduce image distortions that are inherent with resonant fiber scanner imaging modalities.
The proposed algorithm can significantly reduce image noise present in basis material density images from dual-energy CT imaging, with minimized cross-contaminations compared to the ACNR algorithm.
In-plane parallel acceleration is applied to reduce image distortions.
Mac OS X users have an option in the iPhoto program to reduce image sizes for e-mail.
These new methods improve image contrast and image resolution and reduce image noise.
This new algorithm can reduce image noise effectively and maintain the details of the image boundary.
These new methods improve image contrast, image resolution, and reduce image noise.
Even breathing movements reduce image quality but on the other hand excessive restraint of animals increases morbidity and mortality.
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