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Quantitative myocardial perfusion imaging using different autocalibrated parallel acquisition techniques
Author(s) -
Weber Stefan,
Kronfeld Andrea,
Kunz R. Peter,
Muennemann Kerstin,
Horstick Georg,
Kreitner KarlFriedrich,
Schreiber Wolfgang G.
Publication year - 2008
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.21406
Subject(s) - image quality , myocardial perfusion imaging , perfusion , aliasing , nuclear medicine , perfusion scanning , contrast (vision) , blood flow , contrast to noise ratio , biomedical engineering , medicine , materials science , computer science , radiology , artificial intelligence , image (mathematics) , undersampling
Purpose To compare three different autocalibrated parallel acquisition techniques (PAT) for quantitative and semiquantitative myocardial perfusion imaging. Materials and Methods Seven healthy volunteers underwent myocardial first‐pass perfusion imaging at rest using an SR‐TrueFISP pulse sequence without PAT and while using GRAPPA, mSENSE, and TSENSE. signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), normalized upslopes (NUS), and myocardial blood flow (MBF) were calculated. Artifacts, image noise, and overall image quality were qualitatively assessed. Furthermore, the relation between signal intensity (SI) and contrast medium (CM) concentration was determined in phantoms. Results Using PAT the linear range of the SR‐TrueFISP sequence was increased about 40%. All three PAT methods introduced significant loss in SNR and CNR. GRAPPA yielded slightly better values then mSENSE and TSENSE. Both SENSE techniques introduced significantly residual aliasing artifacts. Image noise was increased with all three PAT methods. However, overall image quality was reduced only with mSENSE. Even though GRAPPA yielded smaller NUS values than non‐PAT, mSENSE, and TSENSE, no differences were found in MBF between all applied techniques. Conclusion Quantitative and semiquantitative myocardial perfusion imaging can benefit from PAT due to shorter acquisition times and increased linearity of the pulse sequence. GRAPPA and TSENSE turned out to be well suited for quantitative myocardial perfusion imaging. J. Magn. Reson. Imaging 2008;28:51–59. © 2008 Wiley‐Liss, Inc.