Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives
| Autor: | Klaus H. Maier-Hein, Bram Stieltjes, Peter F. Neher |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Human Connectome Project business.industry Computer science Fiber tractography Context (language use) Machine learning computer.software_genre Imaging phantom 03 medical and health sciences 030104 developmental biology 0302 clinical medicine False positive paradox Diffusion Tractography Artificial intelligence business computer 030217 neurology & neurosurgery Tractography |
| Zdroj: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009304 MICCAI (3) |
| Popis: | Diffusion tractography suffers from a difficult sensitivity-specificity trade-off. We present an approach that leverages knowledge about anatomically well-known tracts (anchor tracts) in a tractogram to quantitatively assess the remaining tracts (candidate tracts) according to their plausibility in conjunction with this context information. We show that our approach has the potential for greatly reducing the number of false positive tracts in fiber tractography while maintaining high sensitivities using phantom experiments (AUC 0.91). To investigate the applicability of the approach in vivo, we analyze 110 subjects of the Human Connectome Project young adult study. We demonstrate how the approach may be used for structured analysis of in vivo tractography and show supporting evidence for tracts previously discussed in the literature, while potentially sparking discussions about the role of others. |
| Databáze: | OpenAIRE |
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