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Echo‐planar spectroscopic imaging (EPSI) of the water resonance structure in human breast using sensitivity encoding (SENSE)
Author(s) -
Medved Milica,
Ivancevic Marko K.,
Olopade Olufunmilayo I.,
Newstead Gillian M.,
Karczmar Gregory S.
Publication year - 2010
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22332
Subject(s) - sensitivity (control systems) , imaging phantom , image resolution , nuclear magnetic resonance , encoding (memory) , signal to noise ratio (imaging) , planar , magnetic resonance imaging , spectral resolution , breast imaging , resolution (logic) , signal (programming language) , physics , optics , computer science , artificial intelligence , spectral line , radiology , medicine , electronic engineering , computer graphics (images) , cancer , astronomy , breast cancer , mammography , engineering , programming language
High spectral and spatial resolution MRI, based on echo‐planar spectroscopic imaging, has been applied successfully in diagnostic breast imaging, but acquisition times are long. One way of increasing acquisition speed is to apply the sensitivity encoding algorithm for complex high spectral and spatial resolution data. We demonstrate application of a complex sensitivity encoding algorithm to high spectral and spatial resolution MRI data, in a phantom and human breast, with 7‐ and 16‐channel dedicated breast phased‐array coils. Very low g factors are obtained using the breast coils, and the signal‐to‐noise ratio (SNR) penalty for water resonance peak height and water resonance asymmetry images is small at acceleration factors of up to 6 and 4, respectively, as evidenced by high Pearson correlation factors between fully sampled and accelerated data. This is the first application of the sensitivity encoding algorithm to characterize the structure of the water resonance at high spatial resolution. Magn Reson Med 63:1557–1563, 2010. © 2010 Wiley‐Liss, Inc.