Compressed sensing MRI
This article reviews the requirements for successful compressed sensing (CS), describes
their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The …
their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The …
Physics of MRI: a primer
This article is based on an introductory lecture given for the past many years during the “MR
Physics and Techniques for Clinicians” course at the Annual Meeting of the ISMRM. This …
Physics and Techniques for Clinicians” course at the Annual Meeting of the ISMRM. This …
Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: database‐free deep learning for fast imaging
Purpose To develop an improved k‐space reconstruction method using scan‐specific deep
learning that is trained on autocalibration signal (ACS) data. Theory Robust artificial‐neural …
learning that is trained on autocalibration signal (ACS) data. Theory Robust artificial‐neural …
Sparse MRI: The application of compressed sensing for rapid MR imaging
The sparsity which is implicit in MR images is exploited to significantly undersample k‐
space. Some MR images such as angiograms are already sparse in the pixel …
space. Some MR images such as angiograms are already sparse in the pixel …
Morphology enabled dipole inversion for quantitative susceptibility map** using structural consistency between the magnitude image and the susceptibility map
The magnetic susceptibility of tissue can be determined in gradient echo MRI by
deconvolving the local magnetic field with the magnetic field generated by a unit dipole. This …
deconvolving the local magnetic field with the magnetic field generated by a unit dipole. This …
Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint
The reconstruction of artifact‐free images from radially encoded MRI acquisitions poses a
difficult task for undersampled data sets, that is for a much lower number of spokes in k …
difficult task for undersampled data sets, that is for a much lower number of spokes in k …
Real‐time MRI at a resolution of 20 ms
The desire to visualize noninvasively physiological processes at high temporal resolution
has been a driving force for the development of MRI since its inception in 1973. In this …
has been a driving force for the development of MRI since its inception in 1973. In this …
Three-dimensional real-time in vivo magnetic particle imaging
J Weizenecker, B Gleich, J Rahmer… - Physics in Medicine …, 2009 - iopscience.iop.org
Magnetic particle imaging (MPI) is a new tomographic imaging method potentially capable
of rapid 3D dynamic imaging of magnetic tracer materials. Until now, only dynamic 2D …
of rapid 3D dynamic imaging of magnetic tracer materials. Until now, only dynamic 2D …
Making the invisible visible—ultrashort echo time magnetic resonance imaging: technical developments and applications
Magnetic resonance imaging (MRI) uses a large magnetic field and radio waves to generate
images of tissues in the body. Conventional MRI techniques have been developed to image …
images of tissues in the body. Conventional MRI techniques have been developed to image …
[HTML][HTML] Radiation dose reduction in computed tomography: techniques and future perspective
Despite universal consensus that computed tomography (CT) overwhelmingly benefits
patients when used for appropriate indications, concerns have been raised regarding the …
patients when used for appropriate indications, concerns have been raised regarding the …