Optimization of white matter tractography for pre-surgical planning and image-guided surgery
| Autor: | Mariana Lazar, Minzhi Gui, Konstantinos Arfanakis |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Cancer Research
White matter tractography Surgical planning Neurosurgical Procedures White matter Data acquisition Preoperative Care Humans Medicine Brain Mapping Brain Neoplasms business.industry Fiber (mathematics) Brain General Medicine Diffusion Magnetic Resonance Imaging Image-guided surgery medicine.anatomical_structure nervous system Oncology Artifacts business Nuclear medicine Diffusion MRI Biomedical engineering Tractography |
| Zdroj: | Europe PubMed Central Scopus-Elsevier |
| ISSN: | 1791-2431 1021-335X |
| DOI: | 10.3892/or.15.4.1061 |
| Popis: | Accurate localization of white matter fiber tracts in relation to brain tumors is a goal of critical importance to the neurosurgical community. White matter fiber tractography by means of diffusion tensor magnetic resonance imaging (DTI) is the only non-invasive method that can provide estimates of brain connectivity. However, conventional tractography methods are based on data acquisition techniques that suffer from image distortions and artifacts. Thus, a large percentage of white matter fiber bundles are distorted, and/or terminated early, while others are completely undetected. This severely limits the potential of fiber tractography in pre-surgical planning and image-guided surgery. In contrast, Turboprop-DTI is a technique that provides images with significantly fewer distortions and artifacts than conventional DTI data acquisition methods. The purpose of this study was to evaluate fiber tracking results obtained from Turboprop-DTI data. It was demonstrated that Turboprop may be a more appropriate DTI data acquisition technique for tracing white matter fibers than conventional DTI methods, especially in applications such as pre-surgical planning and image-guided surgery. |
| Databáze: | OpenAIRE |
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