%0 Conference Paper %1 Hoffmann2018 %A Hoffmann, Nico %A Petersohn, Uwe %A Schackert, Gabriele %A Koch, Edmund %A Gumhold, Stefan %A Kirsch, Matthias %B Medical Image Computing and Computer Assisted Intervention -- MICCAI 2018 %C Cham %D 2018 %E Frangi, Alejandro F. %E Schnabel, Julia A. %E Davatzikos, Christos %E Alberola-López, Carlos %E Fichtinger, Gabor %I Springer International Publishing %K %P 341--348 %T Fast Mapping of the Eloquent Cortex by Learning L2 Penalties %X The resection of brain tumors beneath eloquent areas of the human brain requires precise delineation of eloquent areas for maximum removal of tumor mass while minimizing the risk for postoperative functional deficits. Non-invasive mapping of eloquent areas can be carried out by intraoperative thermal imaging since neural activity alters the cortical temperature distribution. These characteristic changes in cortical temperature can be modeled by a response function. A prominent choice for this response function is the haemodynamic response function. However, the signal is typically superimposed by various effects such as motion artifacts, physiological effects, sensor drifts as well as autoregulation which have to be compensated. %@ 978-3-030-00931-1

@inproceedings{Hoffmann2018, abstract = {The resection of brain tumors beneath eloquent areas of the human brain requires precise delineation of eloquent areas for maximum removal of tumor mass while minimizing the risk for postoperative functional deficits. Non-invasive mapping of eloquent areas can be carried out by intraoperative thermal imaging since neural activity alters the cortical temperature distribution. These characteristic changes in cortical temperature can be modeled by a response function. A prominent choice for this response function is the haemodynamic response function. However, the signal is typically superimposed by various effects such as motion artifacts, physiological effects, sensor drifts as well as autoregulation which have to be compensated.}, added-at = {2024-09-10T11:56:37.000+0200}, address = {Cham}, author = {Hoffmann, Nico and Petersohn, Uwe and Schackert, Gabriele and Koch, Edmund and Gumhold, Stefan and Kirsch, Matthias}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/240e0e57aaca72baaf6de9defab615f32/scadsfct}, booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2018}, editor = {Frangi, Alejandro F. and Schnabel, Julia A. and Davatzikos, Christos and Alberola-L{\'o}pez, Carlos and Fichtinger, Gabor}, interhash = {982d5ff2f9e744863d147e26275dcb46}, intrahash = {40e0e57aaca72baaf6de9defab615f32}, isbn = {978-3-030-00931-1}, keywords = {}, pages = {341--348}, publisher = {Springer International Publishing}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {Fast Mapping of the Eloquent Cortex by Learning L2 Penalties}, year = 2018 }