TY - GEN
T1 - Interactive visualization of fused fMRI and DTI for planning brain tumor resections
AU - Blaas, Jorik
AU - Botha, Charl P.
AU - Majoie, Charles
AU - Nederveen, Aart
AU - Vos, Frans M.
AU - Post, Frits H.
PY - 2007
Y1 - 2007
N2 - The surgical removal of brain tumors can lead to functional impairment. Therefore it is crucial to minimize the damage to important functional areas during surgery. These areas can be mapped before surgery by using functional MRI. However, functional impairment is not only caused by damage to these areas themselves. It is also caused by damage to the fiber bundles that connect these areas with the rest of the brain. Diffusion Tensor Images (DTI) can add information about these connecting fiber bundles. In this paper we present interactive visualization techniques that combine DTI, fMRI and structural MRI to assist the planning of brain tumor surgery. Using a fusion of these datasets, we can extract the fiber bundles that pass through an offset region around the tumor, as can be seen in Figure 1. These bundles can then be explored by filtering on distance to the tumor, or by selecting a specific functional area. This approach enables the surgeon to combine all this information in a highly interactive environment in order to explore the pre-operative situation.
AB - The surgical removal of brain tumors can lead to functional impairment. Therefore it is crucial to minimize the damage to important functional areas during surgery. These areas can be mapped before surgery by using functional MRI. However, functional impairment is not only caused by damage to these areas themselves. It is also caused by damage to the fiber bundles that connect these areas with the rest of the brain. Diffusion Tensor Images (DTI) can add information about these connecting fiber bundles. In this paper we present interactive visualization techniques that combine DTI, fMRI and structural MRI to assist the planning of brain tumor surgery. Using a fusion of these datasets, we can extract the fiber bundles that pass through an offset region around the tumor, as can be seen in Figure 1. These bundles can then be explored by filtering on distance to the tumor, or by selecting a specific functional area. This approach enables the surgeon to combine all this information in a highly interactive environment in order to explore the pre-operative situation.
UR - http://www.scopus.com/inward/record.url?scp=35148863987&partnerID=8YFLogxK
U2 - https://doi.org/10.1117/12.709318
DO - https://doi.org/10.1117/12.709318
M3 - Conference contribution
SN - 0819466271
SN - 9780819466273
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2007
T2 - Medical Imaging 2007: Visualization and Image-Guided Procedures
Y2 - 18 February 2007 through 20 February 2007
ER -