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Common SENSE (Sensitivity encoding using hardware common to all MR scanners): A new method for single-shot segmented echo planar imaging

Carmichael, DW; Priest, AN; De Vita, E; Ordidge, RJ; (2005) Common SENSE (Sensitivity encoding using hardware common to all MR scanners): A new method for single-shot segmented echo planar imaging. MAGN RESON MED , 54 (2) 402 - 410. 10.1002/mrm.20581.

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Abstract

A new method is presented that enables image acquisition to be segmented into two readouts. This is achieved using a new pulse sequence that creates two components of magnetization with different spatial profiles. Each component of the magnetization is measured in one of the readouts. This produces two images with complimentary "sensitivity profiles" and near identical contrast. The images can be acquired with a reduced data matrix that corresponds to shorter periods of data acquisition. The reduced matrix images are then combined to produce a full matrix image using reconstruction methods previously applied to images from multiple RF coils in the sensitivity encoding (SENSE) technique.The most promising application for this technique is in improving the performance of echo planar imaging (EPI) at high field. In this application, common SENSE obtains two segments of data in a single excitation of the magnetization (i.e., two readouts are performed per shot). The combination of these segments in image space avoids the difficulties normally associated with segmented EPI methods, namely, increased ghosting from discontinuities in the k-space data. The main advantages are a reduction in distortion and blurring. Common SENSE is compatible with parallel imaging and partial Fourier methods.

Type:Article
Title:Common SENSE (Sensitivity encoding using hardware common to all MR scanners): A new method for single-shot segmented echo planar imaging
DOI:10.1002/mrm.20581
Keywords:EPI, SENSE, common SENSE, TRAIL, segmented EPI, ARTIFACTS, IMAGES, EPI
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering

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