Name
Abstract | ||
|---|---|---|
In this paper we deal with the problem of quantification of diffusion tensor (DT) data sets. A set of measures and a 2D tract mapping technique are proposed to analyze the fiber structures in brain white matter and to allow for comparisons between different subjects, either patients or controls. Features such as integrity, discontinuity and connectivity of the fiber bundles are proposed and analyzed, taking into account longitudinal and transverse information of the fiber bundle under study. The performance of the proposed characterization framework is shown analyzing the corticospinal tracts of control data sets and pathological cases, comparing the measures between controls and patients and also between the right and left hemispheres. A reproducibility study is also performed to show the robustness of the proposed measures. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04268-3_111 | MICCAI |
Keywords | Field | DocType |
fiber bundle,proposed characterization framework,account longitudinal,corticospinal tract,brain white matter,anatomic fiber bundles,proposed measure,diffusion tensor image analysis,fiber structure,control data set,reproducibility study,diffusion tensor,left hemisphere | Diffusion MRI,Data set,Pattern recognition,Fractional anisotropy,Computer science,Discontinuity (linguistics),Robustness (computer science),Artificial intelligence,Uncinate fasciculus,Tractography,Fiber bundle | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
2 | 0.40 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubén Cárdenes | 1 | 116 | 13.02 |
| Daniel Argibay-Quiñones | 2 | 2 | 0.40 |
| Emma Muñoz-Moreno | 3 | 74 | 7.93 |
| Marcos Martin-Fernandez | 4 | 54 | 5.62 |