Vessel-based brain-shift compensation using elastic registration driven by a patient-specific finite element model
Abstract
During brain tumor surgery, planning and guidance are based on pre-operative images which do not account for brain-shift.
However, this shift is a major source of error in neuro-navigation systems and affects the accuracy of the procedure.
The vascular tree is extracted from pre-operative Magnetic Resonance Angiography and from intra-operative Doppler ultrasound images,
which provides sparse information on brain deformations.
The pre-operative images are then updated based on an elastic registration of the blood vessels, driven by a patient-specific biomechanical model.
This biomechanical model is used to extrapolate the deformation to the surrounding soft tissues.
Quantitative results on a single surgical case are provided, with an evaluation of the execution time for each processing step.
Our method is proved to be efficient to compensate for brain deformation while being compatible with a surgical process.
Fichier principal
revised_paper_bis.pdf (1.26 Mo)
Télécharger le fichier
none.png (155.96 Ko)
Télécharger le fichier
none.jpg (58.41 Ko)
Télécharger le fichier
| Origin | Files produced by the author(s) |
|---|
| Format | Figure, Image |
|---|---|
| Origin | Files produced by the author(s) |
| Format | Figure, Image |
|---|---|
| Origin | Files produced by the author(s) |
Loading...