SENSE: Sensitivity encoding for fast MRI

  title={SENSE: Sensitivity encoding for fast MRI},
  author={Klaas Paul Pruessmann and Markus Weiger and Markus B. Scheidegger and Peter Boesiger},
  journal={Magnetic Resonance in Medicine},
New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction… 

Principles and applications of sensitivity encoded magnetic resonance imaging

New theoretical and practical concepts are presented for considerably enhancing the performance of MRI by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact

Sensitivity‐encoded spectroscopic imaging

The in vivo feasibility of SENSE‐SI is verified by metabolic imaging of N‐acetylaspartate, creatine, and choline in the human brain, and results are compared to conventional SI, with special attention to the spatial response and the SNR.

Specific coil design for SENSE: A six‐element cardiac array

The implications of SENSE imaging for coil layout by means of simulations and imaging experiments in a phantom and in vivo are studied and new, specific design principles are identified.

Advanced image reconstruction in parallel magnetic resonance imaging : constraints and solutions.

This thesis formulates the spatial encoding and decoding of parallel MRI as a generalized linear inverse problem, and theoretical and empirical limits on the performance of parallel MR image reconstructions are characterized, and solutions are proposed to facilitate routine clinical and research applications.

Parallel magnetic resonance imaging.

There are a large number of parallel reconstruction algorithms; this article reviews a cross-section, SENSE, SMASH, g-SMASH and GRAPPA, selected to demonstrate the different approaches and discusses what makes a good application for parallel imaging.

Recent advances in parallel imaging for MRI.

Single echo acquisition MRI using RF encoding

The one‐dimensional limit of parallel imaging is described, in which all spatial localization in one dimension is performed through encoding by the radiofrequency (RF) coil, and should be of interest as an approach to extending the limits of detection in MR imaging.

Highly accelerated projection imaging with coil sensitivity encoding for rapid MRI.

A new MRI data acquisition and reconstruction technique that is capable of reconstructing a two-dimensional image using highly undersampled k-space data without any special hardware is developed and can be implemented on a conventional scanner with an eight-channel coil.

Parallel imaging strategies for high-speed magnetic resonance diffusion imaging

Preliminary results in neuroimaging promise that PI can become a helpful tool for rapid imaging in the CNS, although further improvement of coil sensitivity is required for sufficient SNR in parallel DWI.

Recent advances in image reconstruction, coil sensitivity calibration, and coil array design for SMASH and generalized parallel MRI

A generalized formalism is described which may be used to understand the relations between SMASH and SENSE, to derive typical implementations of each as special cases, and to form hybrid techniques combining some of the advantages of both.



Coil Sensitivity Encoding for Fast MRI

INTRODUCTION As suggested earlier by various authors [1-5] the sensitivity of a receiver coil may be regarded as a modification of the harmonic encoding functions in Fourier imaging. According to

Spiral SENSE : Sensitivity Encoding with arbitrary K-space Trajectories

Concepts for image reconstruction from sensitivity encoded data obtained along arbitrary sampling paths in k-space, including spiral read-out trajectories, are presented.

A decoupled coil detector array for fast image acquisition in magnetic resonance imaging.

An improved method of multicoil recording is suggested, whereby it is combined with the conventional zeugmatographic method with read and phase gradients, to result in a novel method of magnetic resonance imaging.

Fast imaging using subencoding data sets from multiple detectors

  • J. RaC. Rim
  • Physics, Geology
    Magnetic resonance in medicine
  • 1993
A new fast imaging method using a subencoding data acquisition scheme and a multiple coil receiver system is proposed and demonstrated, which can be easily adapted to conventional imaging methods including fast imaging to further reduce the scan time.

Correction for intensity falloff in surface coil magnetic resonance imaging.

A method has been developed to compensate for sensitivity variation in surface coil images by acquiring a crude body coil image of the region under study using a homogeneous phantom.

Fast MRI data acquisition using multiple detectors

A novel imaging procedure using multiple receiver coils that circumvents the sequential acquisition of signals required by conventional imaging strategies and ensures contrast can be maintained and there is no magnetic field gradient switching involved.

Intensity correction of phased‐array surface coil images

A postprocessing algorithm for correcting coil‐related intensity variations of the component surface coils results in images with very high signal near the phased‐array and decreased signal far from the array.

Image Formation by Induced Local Interactions: Examples Employing Nuclear Magnetic Resonance

An image of an object may be defined as a graphical representation of the spatial distribution of one or more of its properties as a result of interaction with a matter or radiation field characterized by a wavelength comparable to or smaller than the smallest features to be distinguished.

Approximate pseudoinverse solutions to ill-conditioned linear systems

A new method for the numerical solution to ill-conditioned systems of linear equations based on the matrix pseudoinverse is presented. Some illustrative numerical results are provided.