Improvement of spatial resolution of keyhole effect images
| Autor: | Claudia Oesterle, Jürgen Hennig |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Phantoms
Imaging business.industry Computer science Cognitive Neuroscience Resolution (electron density) Motor Cortex ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Sampling (statistics) Reconstruction algorithm Magnetic Resonance Imaging Signal Nuclear magnetic resonance Sampling (signal processing) Neurology Image Processing Computer-Assisted Humans A priori and a posteriori Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence business Image resolution Keyhole Algorithms |
| Zdroj: | NeuroImage. 3:S35 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/s1053-8119(96)80037-1 |
| Popis: | An algorithm is proposed which improves the spatial resolution of difference or effect images acquired with a keyhole sampling strategy. This new reconstruction algorithm uses a priori information about sharp structures in the observed signal changes from a high resolution reference scan. The potential of this algorithm even being able to deal with noisy effect images is illustrated by application to functional MRI data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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