TRADITIONAL POSTER - ismrm

Poster Sessions
1696. In the Pursuit of Intra-Voxel Fiber Orientations: Comparison of Compressed Sensing DTI and Q-Ball
MRI
Bennett Allan Landman 1,2 , Hanlin Wan 2,3 , John A. Bogovic 3 , Peter C. M. van Zijl, 2,4 , Pierre-Louis Bazin 5 ,
Jerry L. Prince, 2,3
1 Electrical Engineering, Vanderbilt University, Nashville, TN, United States; 2 Biomedical Engineering, Johns Hopkins University,
Baltimore, MD, United States; 3 Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States; 4 F.M.
Kirby Center, Kennedy Krieger Institute, Baltimore, MD, United States; 5 Radiology, Johns Hopkins University, Baltimore, MD,
United States
Q-ball imaging offers the potential to resolve the DTI crossing-fiber problem by acquiring additional diffusion sensitized scans. Yet, practical constraints
limit its widespread adaptation in clinical research. Recently, compressed sensing has characterized regions of crossing fibers using traditional DTI data (i.e.,
low b-value, 30 directions). Here, we compare q-ball and compressed sensing in simulated and in vivo crossing-fibers. Compressed sensing estimates intravoxel
structure with greater reliability than traditional q-ball while using only 13% of the scan time. Hence, compressed sensing has the potential to enable
clinical study of intra-voxel structure for studies that have hitherto been limited to tensor analysis.
1697. Compressed Sensing Based Diffusion Spectrum Imaging
Namgyun Lee 1 , Manbir Singh 2,3
1 Biomedical Engieering, University of Southern California, Los angeles, CA, United States; 2 Biomedical Engineering; 3 Radiology,
University of Southern California
Reconstruction of the PDF and ODF by Compressed Sensing based diffusion Spectrum Imaging method
1698. Accelerated Diffusion Spectrum Imaging in the Human Brain Using Compressed Sensing
Marion Irene Menzel 1 , Kedar Khare 2 , Kevin F. King 3 , Xiaodong Tao 2 , Christopher J. Hardy 2 , Luca
Marinelli 2
1 GE Global Research, Munich, Germany; 2 GE Global Research, Niskayuna, NY, United States; 3 GE Healthcare, Waukesha, WI,
United States
We developed a new method to accelerate diffusion spectrum imaging (DSI) in the human brain using compressed sensing (CS) to an extent that can be
tolerated in volunteers and patients. We performed simulations and real experiments in brains of healthy volunteers, where we undersampled q-space with
different sampling patterns and reconstructed it using CS. We could demonstrate that even with acceleration up to factors of R = 4 essential information on
diffusion, such as orientation distribution function (ODF) and diffusion coefficients are retained. Shortening DSI acquisitions significantly by means of CS
would open up the door to new contrasts, which are truly based on underlying tissue properties.
1699. Diffusion Histogram as a Marker of Fiber Crossing Within a Voxel
Bryce Wilkins 1 , Manbir Singh 2
1 Biomedical Engineering, University of Southern California, Los Angeles, CA, United States; 2 Radiology and Biomedical
Engineering, University of Southern California, Los Angeles, CA, United States
A simulation and experimental study of the histogram generated from the normalized diffusion signal measured along multiple gradient directions is
presented. Voxels exhibiting an FA of at least 0.8 are identified as representative of single fiber voxels, and used to derive diffusion signals for multiple
fiber crossings, in the range 0-90deg. The results illustrate how the histogram changes systematically with crossing fibers within a voxel, and suggests that
the histogram can be used as a marker of the number of fibers within a voxel, and their relative orientation.
Diffusion in Animal Models
Hall B Monday 14:00-16:00
1700. High Resolution in Vivo DTI of the Mouse Brain: Comparison of a Cryogenic Coil with a Room
Temperature Coil
Andreas Lemke 1 , Patrick Heiler 1 , Bram Stieltjes 2 , Andreas Neumann 3 , Lothar Rudi Schad 1
1 Deparmtent of Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany; 2 Deparmtent of Radiology,
German Cancer Research Center, Heidelberg, Germany; 3 Department of Molecular Neurobiology, German Cancer Research Center,
Heidelberg, Germany
A comparison of the SNR in DTI images acquired with a cryogenic coil and a room temperature (RT) surface coil and a comparison performed by
qualitative assessment of the calculated fractional anisotropy (FA)-maps at different spatial resolutions were performed on mice brain at a 9.4 T animal
scanner. The SNR of the cryogenic coil was about threefold higher compared to the SNR of the RT surface coil and the quality of the FA-maps acquired
with a high in plane resolution and the cryogenic coil were significantly improved compared to the RT-coil.
1701. Characterization of White Matter Maturation in Cats: Diffusion Spectrum Imaging Tractography
Qin Chen 1,2 , Emi Takahashi 3 , Guangping Dai 1 , Ellen Grant, 1,3
1 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Martinos Center for Biomedical Imaging,
Charlestown, MA, United States; 2 Department of Neurology, West China Hospital of Sichuan Univeristy, Chengdu, Sichuan, China;
3 Divison of Newborn Medicine, Department of Medicine and Department of Radiology, Children¡¯s Hospital Boston, Harvard
Medical School, Boston, MA, United States
We have shown that at postnatal day (P) 35 kittens, the degrees of myelination varied in white matters in different brain areas (Takahashi et al., 2009). Our
purpose of current study was to quantify the FA and ADC values on different fiber tracts in this specific developmental phase of juvenile kitten to