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Improving digital signal interpolation: L2-optimal kernels with kernel-invariant interpolation speed
Interpolation is responsible for digital signal resampling and can signi...
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Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the mos...
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MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis
Medical images have been indispensable and useful tools for supporting m...
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A GMM based algorithm to generate point-cloud and its application to neuroimaging
Recent years have witnessed the emergence of 3D medical imaging techniqu...
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Distributed Object Medical Imaging Model
Digital medical informatics and images are commonly used in hospitals to...
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Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
Background and Objective. B-spline interpolation (BSI) is a popular tech...
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A Community-Driven Validation Service for Standard Medical Imaging Objects
Digital medical imaging laboratories contain many distinct types of equi...
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L2-optimal image interpolation and its applications to medical imaging
Digital medical images are always displayed scaled to fit particular view. Interpolation is responsible for this scaling, and if not done properly, can significantly degrade diagnostic image quality. However, theoretically-optimal interpolation algorithms may also be the most time-consuming and impractical. We propose a new approach, adapted to the needs of digital medical imaging, to combine high interpolation speed and superior L2-optimal image quality.
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