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Half‐fourier BURST imaging on a clinical scanner
Author(s) -
Jakob Peter M.,
Griswold Mark A.,
Lovblad Karl O.,
Chen Qun,
Edelman Robert R.
Publication year - 1997
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.1910380405
Subject(s) - scanner , pulse sequence , image quality , fourier transform , signal (programming language) , noise (video) , noise reduction , pulse (music) , computer science , fourier analysis , signal to noise ratio (imaging) , optics , artificial intelligence , nuclear magnetic resonance , computer vision , physics , image (mathematics) , detector , quantum mechanics , programming language
A modified BURST imaging technique with a nearly twofold reduction in acquisition time, improved signal‐to‐noise ratio and clear improvement of the image quality is introduced. The method applies half‐Fourier reconstruction and can be implemented on a standard clinical scanner. This approach allows the collection of single‐shot magnetization prepared images of the human brain with a matrix size of 112 × 128 within 86‐250 ms. The signal‐to‐noise properties of the pulse sequence are analyzed and compared with a standard BURST experiment.