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Flip angle optimization for quantitative phase contrast MR imaging

Journal of Cardiovascular Magnetic Resonance
Springer (Biomed Central Ltd.)
Publication Date
DOI: 10.1186/1532-429x-13-s1-p67
  • Poster Presentation
  • Mathematics
  • Medicine


Flip angle optimization for quantitative phase contrast MR imaging POSTER PRESENTATION Open Access Flip angle optimization for quantitative phase contrast MR imaging Daniel B Ennis*, Matthew J Middione From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Objective The overall objective of the work proposed herein is to optimize the flip angle in gradient-echo based PC-MRI methods for decreased measurement variability in quan- titative blood velocity measurements of the common femoral arteries. Background PC-MRI is a noninvasive imaging technique used to measure the velocity of flowing blood in a particular blood vessel with flexible spatial and temporal resolution [1,2]. It is considered the clinical “gold standard” for quantification of blood flow. PC-MRI boasts a variety of established applications in quantifying cardiovascular function and hemodynamics. In particular, this techni- que offers clinicians with a means of measuring peak velocity, mean velocity, flow rate, and total flow throughout the vasculature of the human body. One of the challenges in PC-MRI is the wide range of variables that make up a given protocol requiring careful optimi- zation of each imaging parameter in an effort to accom- plish the goals of a given scan. Surprisingly, the current PC-MRI utilizes a default flip angle, which has not been optimized. A theoretical description of the signal acquired from flowing spins in spoiled gradient-echo pulse sequences has been previously developed [3]. These efforts indicate that there exists a flip angle that provides an optimized SNR for a given tissue, echo time, repetition time, slice thickness and velocity, which leads to increased reproducibility of quantitative PC-MRI measurements. This optimization cannot be performed empirically because of the number of para- meters involved, hence mathematical and computation work is required. Methods All measurements were performed on a 1.5 Tesla system (Avanto; Siemens Medical Solutions

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