Abstract
Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image processing and visualization tools. Analysis of DTI in clinical studies so far use manual definition of regions or interest or image matching followed by voxel-based analysis. This paper presents a novel concept that extracts major fiber bundles by tractography and provides a statistical analysis of diffusion properties along fibers, i.e. geodesic paths within the three-dimensional brain image. Fiber tracing thus serves as a sophisticated, efficient method for defining complex regions of interests along major fiber tracts not accessible otherwise. Fiber bundles extracted from a set of subjects are parametrized by arc-length and mapped to a common coordinate system centered at well-defined anatomical landmarks. The description of the methodology is guided by the example of measuring diffusion properties along the left and right cingulate. We also present preliminary results from an ongoing clinical neonatal study that studies early brain development.
Original language | English (US) |
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Title of host publication | Lecture Notes in Computer Science |
Editors | R.E. Ellis, T.M. Peters |
Pages | 16-23 |
Number of pages | 8 |
Volume | 2879 |
Edition | PART 2 |
State | Published - 2003 |
Event | Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada Duration: Nov 15 2003 → Nov 18 2003 |
Other
Other | Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings |
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Country/Territory | Canada |
City | Montreal, Que. |
Period | 11/15/03 → 11/18/03 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- General Engineering