|
Descripción
|
|
|---|---|
| Connectivity analysis on diffusion MRI data of the wholebrain suffers from distortions caused by the standard echoplanar imaging acquisition strategies. These images show characteristic geometrical deformations and signal destruction that are an important drawback limiting the success of tractography algorithms. Several retrospective correction techniques are readily available. In this work, we use a digital phantom designed for the evaluation of connectivity pipelines. We subject the phantom to a ?theoretically correct? and plausible deformation that resembles the artifact under investigation. We correct data back, with three standard methodologies (namely fieldmap-based, reversed encoding-based, and registrationbased). Finally, we rank the methods based on their geometrical accuracy, the dropout compensation, and their impact on the resulting connectivity matrices. | |
|
Internacional
|
Si |
|
Nombre congreso
|
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2014) |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Beijing (China) |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-1-4673-1959-1 |
|
DOI
|
10.1109/ISBI.2014.6867976 |
|
Fecha inicio congreso
|
29/04/2014 |
|
Fecha fin congreso
|
02/05/2014 |
|
Desde la página
|
738 |
|
Hasta la página
|
741 |
|
Título de las actas
|
Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro |