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Amplified magnetic resonance imaging

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Amplified magnetic resonance imaging (aMRI)[1][2] is an MRI 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 the in vivo assessment of the biomechanical response in pathology. It is thought to have potential for helping with diagnosing and monitoring a range of clinical implications in the brain and other organs, including in Chiari Malformation, brain injury, hydrocephalus, other conditions associated with abnormal intracranial pressure, cerebrovascular, and neurodegenerative 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 the brain parenchyma and displacements of arteries due to cardiac pulsatility and CSF 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 other endogenous or exogenous sources in other tissues.[citation needed]

aMRI uses video magnificent processing methods, which use Eulerian 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 as steerable-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 visualize in vivo tissue and vascular motion that is smaller than the image resolution.[citation needed]

References

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  1. ^ Holdsworth, Samantha J.; Rahimi, Mahdi Salmani; Ni, Wendy W.; Zaharchuk, Greg; Moseley, Michael E. (2016-02-17). "Amplified magnetic resonance imaging (aMRI)". Magnetic Resonance in Medicine. 75 (6): 2245–2254. doi:10.1002/mrm.26142. ISSN 0740-3194. PMID 26888418. S2CID 24072766.
  2. ^ Terem, Itamar; Ni, Wendy W.; Goubran, Maged; Rahimi, Mahdi Salmani; Zaharchuk, Greg; Yeom, Kristen W.; Moseley, Michael E.; Kurt, Mehmet; Holdsworth, Samantha J. (2018-05-30). "Revealing sub-voxel motions of brain tissue using phase-based amplified MRI (aMRI)". Magnetic Resonance in Medicine. 80 (6): 2549–2559. doi:10.1002/mrm.27236. ISSN 0740-3194. PMC 6269230. PMID 29845645.
  3. ^ a b Wu, Hao-Yu; Rubinstein, Michael; Shih, Eugene; Guttag, John; Durand, Frédo; Freeman, William (2012-08-05). "Eulerian video magnification for revealing subtle changes in the world". ACM Transactions on Graphics. 31 (4): 1–8. doi:10.1145/2185520.2185561. hdl:1721.1/86955. ISSN 0730-0301. S2CID 7385450.
  4. ^ a b c Wadhwa, Neal; Rubinstein, Michael; Durand, Frédo; Freeman, William T. (2013-07-01). "Phase-based video motion processing". ACM Transactions on Graphics. 32 (4): 1–10. doi:10.1145/2461912.2461966. hdl:1721.1/86135. ISSN 0730-0301.