4336
View Abstract / View Presentation
Detecting Magnetic Resonance Changes in Brain Structure and Function During Stroke Rehabilitation
Jonathan Taylor1, Oun Al-iedani2,3, Saadallah Ramadan3,4, Neil Spratt1, and Sarah Valkenborghs5
1School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia, 2School of Health Sciences, University of Newcastle, Newcastle, Australia, 3Hunter Medical Research Institute, Newcastle, Australia, 4Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia, 5University of Newcastle, Newcastle, Australia

Using Magnetic Resonance (MR) data acquired as part of a feasibility study in stroke rehabilitation, a novel post-processing pipeline was designed and implemented to explore metabolic factors with MR Spectroscopy (MRS).
Figure 3: Whole brain segmentation at baseline clockwise from top left, GM, WM, lesion, and CSF. Lesion segmentation processed in SPM software; others processed by FSL-FAST. Two-dimensional transverse view of a three-dimensional binary mask. Lesion segmentation algorithm tends to categorise large CSF volumes as lesion, visible at first and second ventricles.

Figure 1i: inSPECT GUI displaying list of selectable metabolites (B), the configuration panel (A) Cramer-Rao lower bounds SD% threshold. Output panel (C) contains the button to execute processing of data, the lower edge (D) is the status bar, indicating a single CSV file has been opened.

Figure 1ii: inSPECT GUI with voxel selection tab active (B) with voxels checked for filtering. (A) is selected file information and checkboxes for inputting the concentration filter method. Panel (C) is the Save & Execute button, panel (D) is current status, a Baseline Segmentation file has been loaded.