Ontology highlight
ABSTRACT:
SUBMITTER: Fahrenholtz SJ
PROVIDER: S-EPMC6295207 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Fahrenholtz Samuel John SJ Madankan Reza R Danish Shabbar S Hazle John D JD Stafford R Jason RJ Fuentes David D
International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group 20170519 1
<h4>Purpose</h4>Neurosurgical laser ablation is experiencing a renaissance. Computational tools for ablation planning aim to further improve the intervention. Here, global optimisation and inverse problems are demonstrated to train a model that predicts maximum laser ablation extent.<h4>Methods</h4>A closed-form steady state model is trained on and then subsequently compared to N = 20 retrospective clinical MR thermometry datasets. Dice similarity coefficient (DSC) is calculated to provide a mea ...[more]