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Correction for non-uniform k-space data weighting effects in first-pass cardiac perfusion imaging with TurboFLASH readout

Authors
Journal
Journal of Cardiovascular Magnetic Resonance
1097-6647
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
14
Identifiers
DOI: 10.1186/1532-429x-14-s1-p278
Keywords
  • Poster Presentation
Disciplines
  • Mathematics

Abstract

Correction for non-uniform k-space data weighting effects in first-pass cardiac perfusion imaging with TurboFLASH readout POSTER PRESENTATION Open Access Correction for non-uniform k-space data weighting effects in first-pass cardiac perfusion imaging with TurboFLASH readout Sohae Chung*, Leon Axel From 15th Annual SCMR Scientific Sessions Orlando, FL, USA. 2-5 February 2012 Summary To correct for non-uniform k-space data weighing on image intensity in T1-weighted first-pass cardiac perfu- sion MR imaging with TurboFLASH readout by using numerical simulations. Background To obtain first-pass cardiac perfusion images, a satura- tion-recovery (SR) preparation can be used with Turbo- FLASH readout. However, non-uniform k-space weighting during the SR recovery may lead to distortion of the image point spread function; this may lead to sys- tematic overestimation or underestimation of the image- derived arterial input function (AIF) and myocardium signals, with resulting bias in the perfusion calculations. In this work, we used numerical simulations to correct for non-uniform k-space data weighting effects on the AIF and myocardial wall signals. Methods First-pass perfusion MRI was performed in six healthy volunteers (29±12 y.o.; 3T MR scanner, Tim Trio, Sie- mens). Images were obtained at 2 slice locations (the aortic root for the AIF and the basal level of the left ventricle for the wall; Fig.1a) using a SR TurboFLASH readout with centric k-space reordering in order to minimize the sensitivity to inflow effects [1]. Imaging parameters included [2]: FOV=350mm×315mm, slice thickness=8mm, image matrix=160×144, in-plane reso- lution=2.2mm×2.2mm, TE/TR=1.2/2.4ms, TD(AIF/wall) =50/164ms, flip angle=10°, and receiver band- width=1008Hz/pixel. A proton density-weighted image was acquired for normalization [3]. For signal correction, a numerical model of each representative object geometry was generated and the corresponding T1-weighted signals in k-space were calculated, using the Blo

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