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Poster Sessions<br />

center, Amsterdam, Netherlands; 5 Pathology, VU University medical center, Amsterdam, Netherlands; 6 Epidemiology and<br />

Biostatistics, VU University medical center, Amsterdam, Netherlands<br />

Only few lesions in cortical gray matter (CGM) of multiple sclerosis (MS) patients can be visualized with conventional MRI. Quantitative MRI techniques<br />

are more sensitive to cortical damage, but the histopathological correlates of quantitative MRI changes in the MS CGM are unclear. We aimed to define the<br />

underlying pathology of cortical quantitative MRI changes, and to compare MRI visible and invisible lesions by histopathology. 16 brain slices from 10<br />

chronic MS patients were imaged with qualitative and quantitative MRI at 1.5T. Regions of interests were correlated with histopathology.<br />

Quantitative MRI measurements reflect the extent of cortical demyelination. Conspicuity of cortical GM lesions on conventional MRI is determined by<br />

lesional size.<br />

2073. Quantification of Formalin-Fixed MS Brain Tissue Parameters T1, T2*, PD and Phase at 7T and<br />

Comparison with Histopathology<br />

Cherian Renil Zachariah 1 , David Pitt 2 , Peter Wassenar 1 , Bradley D. Clymer 1 , Amir Abduljalil 1 , Michael V.<br />

Knopp 1 , Petra Schmalbrock 1<br />

1 Radiology, The Ohio State University, Columbus, OH, United States; 2 Neurology, The Ohio State University, Columbus, OH, United<br />

States<br />

Depiction of cortical demyelination in MS is still hampered by low contrast, spatial resolution and specificity.This study applies T2*-gradient echo and<br />

inversion recovery turbo field echo (IR-TFE) sequences 7T to image formalin-fixed tissue specimen and measure T1,T2*,PD and phase differences. We<br />

notice that PD maps and phase maps may be promising for enhancing cortical lesion depiction . Following MRI, specimen were cut and labeled with antimyelin<br />

basic protein antibodies to detect myelin and with anti-CD68 antibodies to detect activated macrophages/microglia. Scanned histology slides were<br />

scored for cortical lesions and compared to MRI<br />

2074. MRI Texture Correlates of Pathological Findings in Post-Mortem Multiple Sclerosis Brain<br />

Yunyan Zhang 1,2 , GR Wayne Moore 1 , Cornelia Laule 1 , Thorarin A. Bjarnason 2 , Piotr Kozlowski 1 , Alex L.<br />

Mackay 1 , Anthony L. Traboulsee 1 , David K. B. Li 1<br />

1 University of British Columbia, Vancouver, BC, Canada; 2 University of Calgary, Calgary, AB, Canada<br />

Ten post-mortem brain samples from 3 MS subjects were imaged at 7T. Regions of interest were marked on histological sections staining for myelin and<br />

axon, then were matched on MR images including lesions (14), normal appearing white matter (NAWM, 12) and regions of reduced myelin and axon<br />

(rLrB). MRI texture analysis based on polar Stockwell Transform (PST) was performed. Texture was highest in lesions, intermediate in rLrB and lowest in<br />

NAWM (p < 0.01) providing evidence that texture abnormality associates with tissue pathology. PST analysis may be a potential tool to quantify tissue<br />

integrity in MS or other neurological disorders.<br />

2075. Evaluating MACC for Improved MS Rater Agreement<br />

David S. Wack 1 , Michael G. Dwyer 1 , Niels Bergsland 1 , Sara Hussein 1 , Robert Zivadinov 1<br />

1 University at Buffalo, Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States<br />

The software method of Minimum Area Contour Change (MACC) is evaluated for use to improve same scan inter-rater agreement for the delineation of T2<br />

hyper-intense MS lesions; and for the application of ROIs to follow up time points. The MACC method improves inter-rater agreement, and performs about<br />

on par with another rater for the purpose of drawing lesion ROIs on a follow-up scan.<br />

2076. Lesion Recognition in Multiple Sclerosis: A Sequence Comparison and Quantification Study at 3T<br />

Tobias Kober 1,2 , Cristina Granziera 3,4 , Delphine Ribes 1,2 , Patrick Browaeys 5 , Myriam Schluep 6 , Katrin<br />

Wohlfarth 7 , Reto Meuli 5 , Gunnar Krueger 2<br />

1 Laboratory for functional and metabolic imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; 2 Advanced<br />

Clinical Imaging Technology, Siemens Suisse SA - CIBM, Lausanne, Switzerland; 3 Department of Neurology, Hôpitaux<br />

Universitaires de Genève, Lausanne, Switzerland; 4 Brain and Mind Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne,<br />

Switzerland; 5 Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; 6 Department of Neurology,<br />

Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; 7 H IM MR PLM AW Neurology, Siemens AG, Erlangen, Germany<br />

Detection and radiological characterisation of multiple sclerosis (MS) lesions is an essential part both of clinical diagnosis and MS research. Ten early-stage<br />

MS patients and ten controls were included in this study aiming at (i) comparing five different high-resolution imaging sequences (FLAIR, MP-RAGE, DIR,<br />

SPACE, MP2RAGE) and (ii) quantifying T1 relaxation times of lesions with respect to their location in the brain. Results suggest that the DIR sequence is<br />

the most sensitive for total lesion count, followed by the MP2RAGE. Confirming previous studies, T1 relaxation times were found to be overall prolonged.<br />

2077. Pre-Filling MS Lesions on T1 and T2-Weighted Images for Improved Tissue Segmentation<br />

Jonathan S. Jackson 1,2 , Declan Chard 2 , Antonia Ceccarelli 1 , Elisa Dell'Oglio 1 , Ashish Arora 1 , Mohit<br />

Neema 1 , Rohit Bakshi 1 , David Miller 2 , Claudia Angela Michela Wheeler-Kingshott 2<br />

1 Laboratory for Neuroimaging Research, Brigham & Women's Hospital, Harvard Medical School, Brookline, MA, United States;<br />

2 Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom<br />

Robust lesion in-painting has been demonstrated on T1 and T2-weighted images. Many automated algorithms rely on accurate histograms for segmentation;<br />

therefore this approach to lesion WM correction based on the global histogram is appropriate and strongly recommended as a pre-processing step for MS<br />

images.

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