Accurate anatomical head segmentations: a data set for biomedical simulations

التفاصيل البيبلوغرافية
العنوان: Accurate anatomical head segmentations: a data set for biomedical simulations
المؤلفون: Silvia Farcito, Niels Kuster, Bryn A. Lloyd, Hazael Montanaro, Guilherme B. Saturnino, Jesper Duemose Nielsen, Esra Neufeld, Hartwig R. Siebner, Camilla Gøbel Madsen, Oula Puonti, Axel Thielscher
المصدر: EMBC
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
بيانات النشر: IEEE, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Models, Anatomic, Computer science, business.industry, Electric Conductivity, Pattern recognition, Image segmentation, 030218 nuclear medicine & medical imaging, Data set, 03 medical and health sciences, 0302 clinical medicine, Humans, Head (vessel), Computer Simulation, Artificial intelligence, business, Head, 030217 neurology & neurosurgery, Entire head
الوصف: Detailed computational anatomical models of the entire head are needed for accurate in silico modeling in a variety of transcranial stimulation applications. Models from different subjects help to understand and account for population variability. To this end, we have developed a new library of head models of 20 individuals, segmented from co-aligned multi-modal medical image data. The acquired image modalities allow to accurately model tissues with different material properties, such as electrical conductivity or spatially varying acoustic properties. The usefulness of the models is illustrated for two example applications.
ردمك: 978-1-5386-1311-5
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc26d78a95ac943d0b982831139e1eedTest
https://doi.org/10.1109/embc.2019.8857041Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....bc26d78a95ac943d0b982831139e1eed
قاعدة البيانات: OpenAIRE