TRADITIONAL POSTER - ismrm

Poster Sessions
2433. A DTI-Based Assessment of the Changes in the White Matter in Opioid Addict Patients: A Parcellation
Based Approach
Nasim Maleki 1 , Jaymin Upadhyay 1 , Jennifer Potter 2 , Roger Weiss, Lino Becerra 1,3 , David Borsook 1
1 PAIN Group, McLean Hospital, Harvard Medical School, Belmont, MA, United States; 2 Division of Alcohol and Drug Abuse, Dept.
of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, United States; 3 Martinos Center, Massachusetts General
Hospital, Charlestown, MA, United States
White matter abnormalities in a cohort of prescription opioid dependent subjects (vs. demographically matched subjects) are assessed by combining the
parcellated structural and DTI data. Our results show that there are significant changes in white matter in the patient group in the form of reduced fractional
anisotropy. The approach used in this study to evaluate white matter integrity has the major advantage of taking individual anatomical differences into
account for DTI analysis.
2434. A Quantitative Tractography Approach for Exploring Associations Between White Matter Pathways
and Cognitive Functions
Eni Halilaj 1 , Stephen Correia 2 , David H. Laidlaw 1 , Stephen Salloway 3
1 Computer Science, Brown University, Providence, RI, United States; 2 Department of Psychiatry and Human Behavior, Warren Alpert
School of Brown University; 3 Neuroscience, Brown University
In this study we use quantitative tractography to explore potential associations between cognitive functions and cerebral white matter pathways. We support
inferences made about relationships between working memory, processing speed, motor function, executive function, visual naming and white matter health
not only though observed correlations, but also through the lack thereof, in functions expected to rely more heavily on the functional integrity of cortical
regions. Quantitative tractography metrics are powerful markers of structural integrity in white matter. Using such metrics, rather than diffusivity scalars,
helps us identify underlying correlations between localized white matter atrophy and categorical cognitive decline.
2435. Improved Delineation of Brain Tumour Margins Using Whole-Brain Track-Density Mapping
Stephen Rose 1,2 , Stuart Crozier, 2,3 , Pierrick Bourgeat 4 , Nicholas Dowson 4 , Olivier Salvado 4 , Parnesh
Raniga 4 , Kerstin Pannek 5 , Alan Coulthard 6 , Michael Fay 7 , Paul Thomas 8 , David Macfarlane 8
1 UQ Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia; 2 Centre for Medical Diagnostic
Technologies in Queensland, University of Queensland, Brisbane, Queensland, Australia; 3 Biomedical Engineering, University of
Queensland, Brisbane, Queensland; 4 The Australian e-Health Research Centre, CSIRO, Brisbane, Queensland, Australia; 5 Centre for
Magnetic Resonance, University of Queensland, Brisbane, Queensland, Australia; 6 Medical Imaging, Royal Brisbane and Women's
Hospital, Brisbane, Queensland, Australia; 7 Radiation Oncology, Royal Brisbane and Women's Hospital, Brisbane, Queensland,
Australia; 8 Nuclear Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
We are investigating the use of HARDI, utilising whole-brain track-density maps to improve definition of brain tumour margins. Our hypothesis is that
infiltrating tumour will reduce WM connectivity enabling improved depiction of tumour boundaries. To assist in the determination of tumour extent, the 3D
visitation maps are anatomically fused to 18F-FDOPA – PET images. We report that infiltrating tumour delineated on 18F-FDOPA maps that is present
outside of the tumour-enhancement boundary defined on CET1 images results in a reduction in WM connectivity or streamline density on corresponding
whole-brain track density maps. This has significant implications for surgical and radiation treatment planning.
2436. A Virtual Reality System for Neurosurgery: Integrated Brain Tumor with Peri-Tumoral
Neuroanatomy
Chun-Yi Lo 1 , Wan-Yuo Guo 2 , Kun-Hsien Chou 3 , Ching-Po Lin 1
1 Institute of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan; 2 Department of
Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; 3 Institute of Biomedical Engineering, National Yang Ming University,
Taipei, Taiwan
A virtual reality environment for integrating neuroanatomy was developed for clarify the relationship among tumor mass and peri-tumoral microstructures
for facilitating neurosurgical trajectory design and optimizing therapeutic outcome. Brain tumor and edema were segmented manually and reconstructed into
3D display. Fiber tracking was carried out via the Fiber Assignment by Continuous Tracking algorithm with fractional anisotropy threshold of 0.2 and
angular limitation of 60 degree. The 3D stereo image was projected on the non-depolarizing screen by two projectors with polarizing filter. Therefore, the
viewings of the user¡¦s right and left eyes would be slightly different and the stereo image would be produced from the user¡¦s viewpoint with 3D glasses.
2437. Diffusion Tractography of the Motor Pathway in High Grade Brain Tumor Patients: A Comparison of
Constrained Spherical Deconvolution (CSD) and DTI Algorithms
Bradford Moffat 1 , Christopher Steward 1 , Patricia Desmond 1 , Simon Salinas 1 , Andrew Morokoff 2 , Chris
Kokkinos 3
1 Radiology, University of Melbourne, Melbourne, VIC, Australia; 2 Surgery, University of Melbourne, Melbourne, VIC, Australia;
3 Radiology, Royal Melbourne Hospital, Melbourne, VIC, Australia
The aim of this study was to investigate whether a probabilistic tractography algorithm based on CSD (SDPROB) was superior for visualisation of the motor
pathway in patients with high grade brain tumors. Track volume intersection (TVI) with independent fMRI identified eloquent cortex from SDPROB
tractography was compared to traditional stream tracking algorithms based on CSD (SDST) and DTI eigenvectors (DTST). SDPROB was found to be
significantly (p