@inproceedings{92eb2723a2fb4dd1848bd9524996bff9,
title = "Accuracy assessment of CBCT-based volumetric brain shift field",
abstract = "The displacement of the brain parenchyma during open brain surgery, known as {\textquoteleft}brain shift{\textquoteright}, affects the applicability of pre-operative planning and affects the outcome of the surgery. In this article we investigated the accuracy of a novel method to intra-operatively determine the brain shift displacement field throughout the whole brain volume. The brain shift displacement was determined by acquiring contrast enhanced cone-beam CT before and during the surgery. The respective datasets were pre-processed, landmark enhanced, and elastically registered to find the displacement field. The accuracy of this method was evaluated by artificially creating post-operative data with a known ground truth deformation. The artificial post-operative data was obtained by applying the deformation field from one patient on the pre-operative data of another patient, which was repeated for three patients. The mean error that was found with this method ranged from 1 to 2 mm, while the standard deviation was about 1 mm.",
keywords = "Brain shift, Cone-beam CT, Craniotomy, Elastic registration, Open brain surgery",
author = "I.M. Ockeloen and D. Ruijters and M. Breeuwer and D. Babic and O. Brina and V.M. Pereira",
year = "2016",
doi = "10.1007/978-3-319-31808-0_1",
language = "English",
isbn = "9783319318073",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "1--9",
booktitle = "Clinical Image-Based Procedures. Translational Research in Medical Imaging",
address = "Germany",
note = "4th MICCAI Workshop on Clinical Image-Based Procedures (CLIP 2015), October 5, 2015, Munich, Germany, CLIP 2015 ; Conference date: 05-10-2015 Through 05-10-2015",
}