Descripción
|
|
---|---|
Advanced liver surgery requires a precise preoperative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous levelset algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structures. | |
Internacional
|
Si |
Nombre congreso
|
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) |
Tipo de participación
|
960 |
Lugar del congreso
|
Boston, MA USA |
Revisores
|
Si |
ISBN o ISSN
|
1557-170X |
DOI
|
10.1109/IEMBS.2011.6090925 |
Fecha inicio congreso
|
30/08/2011 |
Fecha fin congreso
|
03/09/2011 |
Desde la página
|
3419 |
Hasta la página
|
3422 |
Título de las actas
|
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) |