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Thursday 13:30-15:30 Computer 95<br />

13:30 4626. Self-Referenced Flip Angle Mapping for Hyperpolarized Gas MRI<br />

Eric Frederick 1,2 , Mirko Hrovat 3 , Samuel Patz 2<br />

1 Applied Physics, University of Massachusetts in Lowell, Lowell, MA, United States; 2 Radiology, Brigham and<br />

Women's Hospital, Boston, MA, United States; 3 Mirtech Inc, Brockton, MA, United States<br />

Hyperpolarized noble gas imaging is a non-equilibrium imaging method where gas magnetization is depleted by RF excitations. Due<br />

to B_1 field inhomogeneities, this depolarization may not be uniform and therefore a B_1 flip angle map is required to correct the<br />

images. This process is typically performed by acquiring an additional set of images. We propose an alternative method where the flip<br />

angle map is obtained from one set of images. To do this, we break up a fully sampled image into two undersampled images that are<br />

then used for B_1 flip angle mapping. We demonstrate these methods with simulations.<br />

14:00 4627. Towards a Better Understanding of Helium-3 MRI Manual Segmentation Error<br />

Using Fuzzy C-Mean Methods<br />

Mohammadreza Heydarian 1 , Andrew Wheatley 1 , Grace Parraga 1,2<br />

1 Robarts research Institute, London, Ontario, Canada; 2 Medical Biophysics, University of Western Ontario,<br />

London, On, Canada<br />

Hyperpolarized helium-3 MRI provides a way to visualize and quantify lung function based on segmentation of helium-3 ventilation<br />

images. Manual segmentation of 3He ventilation volumes is time consuming and prone to observer error. To address this limitation,<br />

we developed and applied a fully automated fuzzy c-mean (FCM) method for segmenting ventilated regions and observed significant<br />

associations between the automated and manual segmentation methods. FCM provides a fully automated, robust and efficient method<br />

for segmenting ventilated regions of hyperpolarized helium-3 images.<br />

14:30 4628. Optimisation of Velocity Encoding Gradients for Phase Contrast Gas Velocity<br />

Taking Diffusion Into Account.<br />

Lionel Martin 1 , Xavier Maître 1 , Mathieu Sarracanie 1 , Marlies Friese 2 , Ludovic de<br />

Rochefort 1 , Rose-Marie Dubuisson 1 , Emeline Boriasse 1 , Emmanuel Durand 1<br />

1 Imagerie par Résonance Magnétique Médicale et MultiModalités (UMR8081), Univ Paris-Sud, CNRS, Orsay,<br />

France; 2 Center for Magnetic Resonance, The University of Queensland, Brisbane, Queensland, Australia<br />

MR flow measurement techniques have mostly been used in liquids. For coherent motion (flow), bipolar gradients induce a phase shift<br />

and a signal drop for incoherent motion (diffusion). This effect, negligible for liquids, cannot be neglected for gases. Competition<br />

between these two phenomena results in the existence of an optimal FOS that could be theoretically determined. 2D velocity maps of<br />

parabolic flows were acquired with different FOS and gases. Results show that velocity error is a function of the FOS and a different<br />

optimal FOS is reached for each gas. Thus, they validate our theoretical simulations.<br />

15:00 4629. Hyperpolarized 83Kr MR Relaxation Measurements in Excised Rat Lungs.<br />

Karl F. Stupic 1 , Nancy D. Elkins 2 , Galina E. Pavlovskaya 3 , John E. Repine 2 , Thomas<br />

Meersmann, 1,3<br />

1 Department of Chemistry, Colorado State University, Fort Collins, CO, United States; 2 Health Science Center,<br />

Webb-Waring Institute, University of Colorado, Denver, CO, United States; 3 School of Medicine, University of<br />

Nottingham, Nottingham, United Kingdom<br />

Hyperpolarized (hp) 83Kr has been previously shown to provide T1 relaxation weighted MRI contrast that is highly sensitive to the<br />

surface chemistry in low surface-to-volume model surface systems In the present work 83Kr T1 relaxation in excised rat lungs is<br />

investigated as a function of lung inflation. Surprisingly, the relaxation in ex vivo lungs does not change with increased lung inflation<br />

(when the effects of airways are eliminated) despite the presumably changing surface to volume ratios in the alveoli. The measured<br />

relaxation times are long enough to permit future in vivo studies.<br />

Metabolism Liver & Other I<br />

Hall B Monday 14:00-16:00 Computer 96<br />

14:00 4630. Reproducibility of MRI-Determined Proton Density Fat Fraction (PDFF) Across<br />

MR Scanner Platforms and Field Strength<br />

Geraldine Hye Won Kang 1 , Michael Schroeder 1 , Masoud Shiehmorteza 1 , Benjamin<br />

Johnson 1 , Tanya Wolfson 1 , Anthony Gamst 1 , Gavin Hamilton 1 , Mark Bydder 1 , Takeshi<br />

Yokoo 1 , Claude Sirlin 1<br />

1 Radiology, University of California, San Diego, San Diego, CA, United States<br />

As a result of the growing epidemic of obesity, fatty liver disease has become the most common liver condition in the United States.<br />

Thus, there is an increasing need for a noninvasive fat quantification technique. We have developed a T1-independent, T2*-corrected,<br />

spectral modeled chemical shift based fat quantification technique, which permits estimation of the proton density fat fraction (PDFF).<br />

Here we show that PDFF measured by this technique is reproducible across field strength and vendor and has high accurt5acy using<br />

spectroscopy as the reference.

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