Application of IR thermometry to understanding brain function

Todd Parrish, Michael Iorga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Gliomas are a deadly class of brain tumor for which surgery is currently standard treatment. However, important functional areas must be avoided during tumor removal. Currently intraoperative stimulation-based mapping addresses this, however it has low spatial resolution (∼ 1cm) and requires many stimulations. We explore an alternate approach to functional mapping via infrared thermography. Activated brain tissue recruits additional blood supply (neurovascular coupling), which raises local temperature. Intraoperative thermal imaging (ITI) can map several areas simultaneously with relatively high resolution (∼0.1 mm). We present our experiences using ITI on two glioma patients, and compare our findings to the stimulation-based gold standard. Initial data suggests good correspondence between these methods, and opens possibilities for a complementary approach. Ultimately, the goal of ITI is to improve patient outcomes by precisely defining the extent of surgical resection and prevent postoperative neurologic deficits.

Original languageEnglish (US)
Title of host publicationQuantum Sensing and Nano Electronics and Photonics XV
EditorsGiuseppe Leo, Gail J. Brown, Manijeh Razeghi, Jay S. Lewis
ISBN (Electronic)9781510615656
StatePublished - 2018
EventQuantum Sensing and Nano Electronics and Photonics XV 2018 - San Francisco, United States
Duration: Jan 28 2018Feb 2 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherQuantum Sensing and Nano Electronics and Photonics XV 2018
Country/TerritoryUnited States
CitySan Francisco


  • Brain
  • Glioma
  • Infrared
  • Medical Imaging
  • Surgical Planning
  • Thermal Imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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