Whole brain susceptibility mapping using compressed sensing
نویسندگان
چکیده
منابع مشابه
Accelerated whole-brain multi-parameter mapping using blind compressed sensing.
PURPOSE To introduce a blind compressed sensing (BCS) framework to accelerate multi-parameter MR mapping, and demonstrate its feasibility in high-resolution, whole-brain T1ρ and T2 mapping. METHODS BCS models the evolution of magnetization at every pixel as a sparse linear combination of bases in a dictionary. Unlike compressed sensing, the dictionary and the sparse coefficients are jointly e...
متن کاملFrames for compressed sensing using coherence
We give some new results on sparse signal recovery in the presence of noise, for weighted spaces. Traditionally, were used dictionaries that have the norm equal to 1, but, for random dictionaries this condition is rarely satised. Moreover, we give better estimations then the ones given recently by Cai, Wang and Xu.
متن کاملHigh-resolution whole-brain dynamic contrast-enhanced MRI using compressed sensing
Dynamic contrast-enhanced (DCE) MRI is a powerful tool that maps the spatial distribution of vascular parameters in the brain, including blood-brain-barrier (BBB) permeability, interstitial transit times, and interstitial volume. DCE-MRI is widely used to assess BBB leakage in brain tumors and multiple sclerosis lesions, and it has potential applications in Alzheimer’s dementia, vascular cognit...
متن کاملQuantitative mapping of chemical compositions with MRI using compressed sensing.
In this work, a magnetic resonance (MR) imaging method for accelerating the acquisition time of two dimensional concentration maps of different chemical species in mixtures by the use of compressed sensing (CS) is presented. Whilst 2D-concentration maps with a high spatial resolution are prohibitively time-consuming to acquire using full k-space sampling techniques, CS enables the reconstructio...
متن کاملCompressed Sensing for brain MRIs
Compressed sensing and magnetic resonance imaging are hot topics in the field of signal processing. In this study we introduced in Lustig’s variable density sampling method, integrated it to compressed sensing, and applied it to brain MRI acquisition. The realistic experiment shows the variable density sampling recovery better than traditional random sampling method on a 256x256 brain magnetic ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 2011
ISSN: 0740-3194
DOI: 10.1002/mrm.23000