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ELECTRONIC POSTER - ismrm

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14:30 4320. Profile-Based Cortical Parcellation to Detection of Cortical Multiple Sclerosis<br />

Lesions<br />

Christine Lucas Tardif 1 , John B. Richardson 2 , Claude Lepage 1 , D Louis Collins 1 , Alan C.<br />

Evans 1 , G Bruce Pike 1<br />

1 McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, QC, Canada; 2 Department of<br />

Neuropathology, Montreal Neurological Institute/Hospital, Montreal, QC, Canada<br />

Cortical grey matter (GM) multiple sclerosis lesions are difficult to segment in MR images due to poor contrast with normal appearing<br />

GM and spatial variation in healthy GM. We propose using an observer-independent profile-based method for cortical parcellation to<br />

detect cortical lesions. Following tissue classification and surface extraction, profiles are extended from the white matter surface to the<br />

cortical surface. The cortex is parcellated according to profile intensity and shape using a kmeans classifier with squared Euclidean<br />

distance. The method is tested on high-resolution MR data from a fixed postmortem MS brain, and validated using myelin basic<br />

protein immunohistochemistry.<br />

15:00 4321. Evidence of Distributed Subpial T2* Signal Changes at 7T in Multiple Sclerosis: An<br />

Histogram Based Approach.<br />

Caterina Mainero 1 , Carlos Lima 1 , Julien Cohen-Adad 1 , Doug Greve 1 , Amy Radding 1 ,<br />

Thomas Benner 1 , R Philip Kinkel 2 , Bruce Fischl 1 , Bruce R. Rosen 1<br />

1 A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United<br />

States; 2 Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States<br />

We investigated whether a histogram-based analysis of 7T T2* signal intensity in the cortex can show distributed subpial cortical<br />

changes in 14 patients with multiple sclerosis (MS), as described histopathologically. We hypothesized that this show significantly<br />

increased T2* signal intensity in patients vs controls. FLASH-T2* spoiled gradient-echo weighted images acquired at 7T. Pial and<br />

white matter surfaces generated by FreeSurfer on a 3T MEMPR were overlaid on the 7T FLASH-T2* images. T2* intensities were<br />

normalized to mean CSF intensity (T2*/CSF ) and then sampled 1mm inside the pial surface. The histogram-based analysis showed<br />

significant, diffuse T2*/CSF signal increases in MS vs matched controls, particularly evident in frontal areas.<br />

Thursday 13:30-15:30 Computer 76<br />

13:30 4322. Optimisation of 3 T and 7 T T 2 * -Weighted MRI for the Detection of Small<br />

Parenchymal Veins in MS Lesions<br />

Jennifer Elizabeth Dixon 1 , Matthew John Brookes 1 , Emma C. Tallantyre 2 , Nikos<br />

Evangelou 2 , Peter G. Morris 1<br />

1 Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, Nottingham, Nottinghamshire,<br />

United Kingdom; 2 Department of Clinical Neurology, Nottingham University Hospital NHS Trust, Nottingham,<br />

Nottinghamshire, United Kingdom<br />

Post-mortem studies of MS lesions show a close spatial relationship to parenchymal veins. In vivo study of this has previously been<br />

limited by the difficulties in demonstrating both lesions and veins on a single MR image. Recently, we have shown that T2*-weighted<br />

MRI at 7T enables simultaneous visualisation of both structures, and found that 82% of white-matter MS lesions contained a<br />

detectable vein. Here, we predict optimal scanning parameters for increasing the sensitivity of vessel detection and reducing the<br />

inherent bias towards detection of veins with particular orientations.<br />

14:00 4323. High Resolution Magnetic Susceptibility Mapping in Patients with Clinically<br />

Isolated Syndrome<br />

Ali Al-Radaideh 1 , Samuel Wharton 1 , Su-Yin Lim 2 , Christopher Tench 2 , Cris<br />

Constantinescu 2 , Richard Bowtell 1 , Penny Gowland 1<br />

1 Sir Peter Mansfield MR Centre, The University of Nottingham, Nottingham, Nottinghamshire, United<br />

Kingdom; 2 Clinical Neurology, The University of Nottingham, Nottingham, Nottinghamshire, United Kingdom<br />

Neurodegeneration in MS might be expected to cause an accumulation of iron in deep grey matter (dGM) structures. The aim of this<br />

study is to measure the susceptibility of dGm structures in patients with Clinically Isolated Syndrome (CIS), an early manifestation of<br />

MS.<br />

14:30 4324. Iron-Sensitive Quantitative Methods for Multiple Sclerosis: Lesion Evolution and<br />

Deep Grey Matter Iron Deposition<br />

Robert Marc Lebel 1 , Amir Eissa 1 , Peter Seres 1 , Derek J. Emery 2 , Gregg Blevins 3 , Alan H.<br />

Wilman 1<br />

1 Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada; 2 Radiology and Diagnostic<br />

Imaging, University of Alberta, Edmonton, Alberta, Canada; 3 Neurology, University of Alberta, Edmonton,<br />

Alberta, Canada<br />

Three iron-sensitive methods are applied at 4.7T for tracking iron-based changes in the brain of patients with relapsing-remitting<br />

multiple sclerosis (MS). The methods are phase susceptibility, R2 and R2* mapping. Each method is applied with special high field<br />

adaptations. They are used to track lesion progression as well as deep grey matter changes. Each measure provides unique contrast<br />

and its own sensitivity and specificity to iron. Together these methods can provide new insight into MS progression.

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