PURPOSE: Recently, the Recon Challenge at the 2009 ISMRM workshop on Data Sampling and Image Reconstruction at Sedona, Arizona was held to evaluate feasibility of highly accelerated acquisition of time resolved contrast enhanced MR angiography. This paper provides the step-by-step description of the winning results of k-t FOCUSS in this competition. MATERIALS AND METHODS: In previous works, we proved that k-t FOCUSS algorithm successfully solves the compressed sensing problem even for less sparse cardiac cine applications. Therefore, using k-t FOCUSS, very accurate time resolved contrast enhanced MR angiography can be reconstructed. Accelerated radial trajectory data were synthetized from X-ray cerebral angiography images and provided by th...
Cardiac magnetic resonance imaging (CMR) has become an important imaging modality for diagnosing car...
Compressed sensing (CS) reconstructions of under-sampled measurements generate missing data based on...
The reconstruction of dynamic magnetic resonance data from an undersampled k-space has been shown to...
A compressed sensing dynamic MR technique called k-t FOCUSS (k-t FOCal Underdetermined System Solver...
Magnetic Resonance (MR) imaging is a multiparametric imaging technique allowing the diagnosis of a w...
Magnetic resonance imaging (MRI) is a powerful diagnostic medical imaging technique that provides ve...
The dynamic MR imaging of time-varying objects, such as beating hearts or brain hemodynamics, requir...
According to the recent theory of compressed sensing, accu-rate reconstruction is possible even from...
International audiencePURPOSE: To study temporal and spatial blurring artifacts from k-space view-sh...
A model-based dynamic MRI called k-t BLAST/SENSE has drawn significant attention from the MR imaging...
ACCELERATED MAGNETIC RESONANCE IMAGING (MRI) is among the most important topics in technological res...
Magnetic Resonance Imaging (MRI) is a great invention in the biomedical field, it is an instrument w...
Advanced MRI techniques often require sampling in additional (non-spatial) dimensions such as time o...
Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Electrical an...
Recent theoretical advances in the field of compressive sampling-also referred to as compressed sens...
Cardiac magnetic resonance imaging (CMR) has become an important imaging modality for diagnosing car...
Compressed sensing (CS) reconstructions of under-sampled measurements generate missing data based on...
The reconstruction of dynamic magnetic resonance data from an undersampled k-space has been shown to...
A compressed sensing dynamic MR technique called k-t FOCUSS (k-t FOCal Underdetermined System Solver...
Magnetic Resonance (MR) imaging is a multiparametric imaging technique allowing the diagnosis of a w...
Magnetic resonance imaging (MRI) is a powerful diagnostic medical imaging technique that provides ve...
The dynamic MR imaging of time-varying objects, such as beating hearts or brain hemodynamics, requir...
According to the recent theory of compressed sensing, accu-rate reconstruction is possible even from...
International audiencePURPOSE: To study temporal and spatial blurring artifacts from k-space view-sh...
A model-based dynamic MRI called k-t BLAST/SENSE has drawn significant attention from the MR imaging...
ACCELERATED MAGNETIC RESONANCE IMAGING (MRI) is among the most important topics in technological res...
Magnetic Resonance Imaging (MRI) is a great invention in the biomedical field, it is an instrument w...
Advanced MRI techniques often require sampling in additional (non-spatial) dimensions such as time o...
Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Electrical an...
Recent theoretical advances in the field of compressive sampling-also referred to as compressed sens...
Cardiac magnetic resonance imaging (CMR) has become an important imaging modality for diagnosing car...
Compressed sensing (CS) reconstructions of under-sampled measurements generate missing data based on...
The reconstruction of dynamic magnetic resonance data from an undersampled k-space has been shown to...