TRADITIONAL POSTER - ismrm

Poster Sessions
2084. Correlation of Clinical Parameters and DTI Imaging Features in Multiple Sclerosis
Carli Jessica Lehr 1 , Mustafa Okan Irfanoglu 1 , Firdaus Janoos, Steffen Sammet 1 , Michael V. Knopp 2
1 Department of Radiology, The Ohio State University, Columbus, OH, United States; 2 Department of Radiology, OSU, Columbus,
OH, United States
Diffusion Tensor Imaging plays an important role in the quantitative analysis of Multiple Sclerosis lesions. This study investigates the correlation between
clinical parameters and DTI imaging features such as FA, ADC, lesion volumes, and tract connectivity. DTI derived features provide better correlations to
clinical scores than conventional MRI-based characteristics. The strongest correlations were found when all DTI imaging features were analyzed together
against clinical data values. This illustrates the usefulness of comprehensive DTI imaging features in analyzing clinical deficits in Multiple Sclerosis.
2085. Effect of Gradient Resolution in Diffusion Tensor Imaging on the Appearance of Multiple Sclerosis
Lesions at 3T
Mustafa Okan Irfanoglu 1 , Raghu Machiraju 1 , Michael V. Knopp 1 , Steffen Sammet 1
1 Department of Radiology, The Ohio State University, Columbus, OH, United States
Diffusion Tensor Imaging proved to be a useful modality for the diagnosis of Multiple Sclerosis. However, the quality of the DTI-derived scalar maps and
tractography is directly dependent on experimental design. In clinical settings, scan time is a major constraint and not many diffusion weighted volumes can
be acquired. In this work, we analyze the effects of gradient resolution on the appearance of multiple sclerosis regions. Results indicate that with increasing
number of gradients, statistics based on lesion scalar map distributions becomes more stable and spending extra minutes might be beneficial if DTI is to be
assessed for diagnosis.
2086. Radial Diffusivity in Remote Optic Neuritis Discriminates Visual Outcomes
Junqian Xu 1 , Robert T. Naismith 1 , Nhial Tutlam 1 , Kathryn M. Trinkaus 2 , Sheng-Kwei Song 3 , Anne Cross 1
1 Neurology, Washington University in St. Louis, St. Louis, MO, United States; 2 Biostatistics, Washington University in St. Louis, St.
Louis, MO, United States; 3 Radiology, Washington University in St. Louis, St. Louis, MO, United States
We studied 70 remote optic neuritis (ON) patients using the previously described high-resolution reduced field-of-view optic nerve diffusion tensor imaging
protocol at 3 T. Radial diffusivity (RD) strongly correlated with visual functional assessments, retinal nerve fiber layer thickness, and visual evoked
potential. RD also discriminated nerves with normal recovery from those with mild visual impairment, and those with mild impairment from profound
visual loss. In addition, RD differentiated healthy controls from both the clinically affected nerves and unaffected fellow nerves after ON. RD differentiated
all categories of 5% contrast sensitivity (CS) outcomes, and all categories of Pelli-Robson CS with the exception of normal recovery from mildly affected.
2087. Low Contrast Visual Stimuli Yield Differential Volumes of Functional MRI Activation in Affected and
Unaffected Eyes Following Recovery from Optic Neuritis
Robert A. Bermel 1 , Jeffrey A. Cohen 1 , Lael A. Stone 1 , Blessy Mathew 2 , Mark J. Lowe 2 , Michael D. Phillips 2
1 Neurological Institute, Cleveland Clinic, Cleveland, OH, United States; 2 Imaging Institute, Cleveland Clinic, Cleveland, OH, United
States
Optic neuritis (ON) is caused by inflammatory demyelination in the optic nerve, commonly as an early component of multiple sclerosis (MS). Recovery
from ON is variable, facilitated by mechanisms which may include remyelination and cortical reorganization. We used visual fMRI with stimuli at three
different contrast levels to investigate cortical activation following ON in 6 patients with MS and remote unilateral ON. Differences in cortical activation
between affected and unaffected eyes were most apparent when utilizing the lower contrast visual stimulus. We conclude that low-contrast visual fMRI may
be sensitive to detect cortical changes following ON.
2088. Quantitative Fast T1 Mapping at 7 Tesla: Initial Results in Multiple Sclerosis Patients and Healthy
Controls
Wolter L. de Graaf 1 , J. M. Hoogduin 2 , F. Visser 2,3 , P. Pouwels 4 , H. Vrenken 4 , C. H. Polman 5 , F. Barkhof 1 ,
P. R. Luijten 2 , J. A. Castelijns 1
1 Radiology, VU University Medical Center, Amsterdam, Netherlands; 2 Image Science Institute, University Medical Center Utrecht,
Utrecht, Netherlands; 3 PHILIPS Healthcare; 4 Physics and Medical Technology, VU University Medical Center, Amsterdam,
Netherlands; 5 Neurology, VU University Medical Center, Amsterdam, Netherlands
In Multiple Sclerosis, T1 mapping has shown to be able to differentiate normal from normal appearing grey and white matter. At high field, T1 relaxation
times increase and therefore it is expected that changes in brain tissue due to multiple sclerosis become more pronounced. A fast T1 mapping sequence of
4.5 minutes with an in-plane resolution of 1x1 mm2 and slice thickness of 1.5 mm is applied at 7 Tesla to assess the sensitivity of the method at high field.
Patients as well as healthy controls are examined and whole brain histograms and analysis of specific brain regions are made.
2089. In Vivo Quantitative Evaluation of Multiple Sclerosis Progression Using Gradient Echo Plural
Contrast Imaging Technique
Jie Luo 1 , Pascal Sati 2 , Anne H. Cross 3 , Dmitriy A. Yablonskiy 2
1 Chemistriy, Washington University in St.Louis, St. Louis, MO, United States; 2 Radiology, Washington University in St. Louis, St.
Louis, MO, United States; 3 Neurology, Washington University in St. Louis, St. Louis, MO, United States
One reason for the weak correlation between conventional MRI (based on T1/T2 weighted images) and clinical findings is the inability of conventional MRI
to quantify the extent of tissue damage. In this study, we demonstrated that an efficient method based on GEPCI technique not only depicts MS lesions
similar to conventional T1w and FLAIR images, but also allows quantitative evaluation of disease progression. Combining characteristics of main peak in
R2* histograms and quantitative score assigned to MS lesions, allows the evaluation not only of the volume of cerebral MS lesions, but incorporates the
degree of tissue damage as well.