Zuluaga, MA;
Rodionov, R;
Nowell, M;
Achhala, S;
Zombori, G;
Cardoso, MJ;
Miserocchi, A;
... Ourselin, S; + view all
(2014)
SEEG trajectory planning: combining stability, structure and scale in vessel extraction.
In: Golland, P and Hata, N and Barillot, C and Hornegger, J and Howe, R, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II.
(pp. pp. 651-658).
Springer International Publishing: Switzerland.
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Abstract
StereoEEG implantation is performed in patients with epilepsy to determine the site of the seizure onset zone. Intracranial haemorrhage is the most common complication associated to implantation carrying a risk that ranges from 0.6 to 2.7%, with significant associated morbidity. SEEG planning is done pre-operatively to identify avascular trajectories for the electrodes. In current practice neurosurgeons have no assistance in the planning of the electrode trajectories. There is great interest in developing computer assisted planning systems that can optimize the safety profile of electrode trajectories, maximizing the distance to critical brain structures. In this work, we address the problem of blood vessel extraction for SEEG trajectory planning. The proposed method exploits the availability of multi-modal images within a trajectory planning system to formulate a vessel extraction framework that combines the scale and the neighbouring structure of an object. We validated the proposed method in twelve multi-modal patient image sets. The mean Dice similarity coefficient (DSC) was 0.88 ± 0.03, representing a statistically significantly improvement when compared to the semi-automated single rater, single modality segmentation protocol used in current practice (DSC = 0.78 ± 0.02).
| Type: | Proceedings paper |
|---|---|
| Title: | SEEG trajectory planning: combining stability, structure and scale in vessel extraction |
| Event: | 17th International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014) |
| Location: | Germany |
| ISBN-13: | 9783319104690 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-10470-6_81 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-319-10470-6_81 |
| Language: | English |
| Additional information: | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10470-6_81. |
| Keywords: | Cerebral Angiography, Cerebral Arteries, Electrodes, Implanted, Electroencephalography, Humans, Imaging, Three-Dimensional, Pattern Recognition, Automated, Preoperative Care, Prosthesis Implantation, Radiography, Interventional, Reproducibility of Results, Sensitivity and Specificity, Stereotaxic Techniques |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1448815 |
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