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Amplified magnetic resonance imaging (aMRI)[1][2] is anMRI method that is coupled with video magnification processing methods[3][4] to amplify the subtle spatial variations in MRI scans and to enable better visualization of tissue motion. aMRI can enable better visualization of tissue motion to aid thein vivo assessment of the biomechanical response inpathology. It is thought to have potential for helping with diagnosing and monitoring a range of clinical implications in the brain and other organs, including inChiari Malformation,brain injury,hydrocephalus, other conditions associated with abnormalintracranial pressure,cerebrovascular, andneurodegenerative disease.[citation needed]
The aMRI method takes high temporal-resolution MRI data as input, applies a spatial decomposition, followed by temporal filtering and frequency-selective amplification of the MRI frames before synthesizing a motion-amplified MRI data set. This approach can reveal deformations of thebrain parenchyma and displacements ofarteries due tocardiac pulsatility andCSF flow. aMRI has thus far been demonstrated to amplify motion in brain tissue to a more visible scale, however, can in theory be applied to visualize motion induced by otherendogenous orexogenous sources in other tissues.[citation needed]
aMRI uses video magnificent processing methods, which useEulerian Video Magnification[3] and phase-based motion processing,[4] with the latter thought to be less prone to noise and less sensitive to nonmotion-induced, voxel-intensity changes.[4] Both video-processing methods use a series of mathematical operations used in image processing known assteerable-pyramid wavelet transformation to amplify motion without the accompanying noise. The aMRI temporal data undergoes spatial decomposition, followed by temporal filtering and frequency-selective amplification – and can allow one to visualizein vivo tissue and vascular motion that is smaller than the image resolution.[citation needed]