Purpose: Repeated brain MRI scans are performed in many clinical scenarios, such as
follow up of patients with tumors and therapy response assessment. In this paper, the …

Compressed sensing (CS) is a mathematical framework that reconstructs data from highly
undersampled measurements. To gain acceleration in acquisition time, CS has been …

Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires
multi-dimensional k-space data through 1-D free induction decay or echo signals. This often …

Compressed sensing (CS) has been applied to magnetic resonance imaging for the
acceleration of data collection. However, existing CS techniques usually produce images …

Recent theoretical advances in the field of compressive sampling—also referred to as
compressed sensing (CS)—hold considerable promise for practical applications in MRI, but …

Authorized licensed use limited to: Stanford University. Downloaded on June 4, 2009 at 17:
49 from IEEE Xplore. Restrictions apply. an intuitive understanding of CS by describing the …

MRI is one of the most dynamic and safe imaging techniques available in the clinic today.
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …

Compressed Sensing (CS) is a recently emerged technique for reconstructing signals from
data sampled under the Nyquist rate. It takes advantage of the signal sparsity in a …

In interventional MRI (I-MRI), a sequence of MR images is reconstructed in order to guide a
diagnostic or therapeutic procedure where an invasive device is inserted in the body. The …

Compressed sensing (CS)-based methods have been proposed for image reconstruction
from undersampled magnetic resonance data. Recently, CS-based schemes using …