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Comparison of three accelerated pulse sequences for semiquantitative myocardial perfusion imaging using sensitivity encoding incorporating temporal filtering (TSENSE)
Author(s) -
Weber Stefan,
Kronfeld Andrea,
Kunz R. Peter,
Fiebich Martin,
Horstick Georg,
Kreitner KarlFriedrich,
Schreiber Wolfgang G.
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21047
Subject(s) - image quality , linearity , pulse (music) , imaging phantom , nuclear medicine , signal to noise ratio (imaging) , contrast to noise ratio , perfusion scanning , materials science , nuclear magnetic resonance , physics , perfusion , optics , medicine , computer science , radiology , detector , image (mathematics) , artificial intelligence , quantum mechanics
Purpose To investigate the parallel acquisition technique sensitivity encoding incorporating temporal filtering (TSENSE) with three saturation‐recovery (SR) prepared pulse sequences (SR turbo fast low‐angle shot [SR‐TurboFLASH], SR true fast imaging with steady precession [SR‐TrueFISP], and SR‐prepared segmented echo‐planar‐imaging [SR‐segEPI]) for semiquantitative first‐pass myocardial perfusion imaging. Materials and Methods In blood‐ and tissue‐equivalent phantoms the relationship between signal intensity (SI) and contrast‐medium concentration was evaluated for the three pulse sequences. In volunteers, signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and normalized upslopes (NUS) were calculated from signal–time curves (STC). Moreover, artifacts, image noise, and overall image quality were qualitatively evaluated. Results Phantom data showed a 40% increased linear range of the relation between SI and contrast‐medium concentration with TSENSE. In volunteers, TSENSE introduced significantly residual artifacts and loss in SNR and CNR. No differences were found for NUS values with TSENSE. SR‐TrueFISP yielded highest SNR, CNR, and quality scores. However, in SR‐True‐FISP images, dark‐banding artifacts were most pronounced. NUS values obtained with SR‐TrueFISP were significantly higher and with SR‐segEPI significantly lower than with SR‐TurboFLASH. Conclusion Semiquantitative myocardial perfusion imaging can significantly benefit from TSENSE due to shorter acquisition times and increased linearity of the pulse sequences. Among the three pulse sequences tested, SR‐TrueFISP yielded best image quality. SR‐segEPI proved to be an interesting alternative due to shorter acquisition times, higher linearity and fewer dark‐banding artifacts. J. Magn. Reson. Imaging 2007. © 2007 Wiley‐Liss, Inc.