Christian Behler (@ChristianBehler), Anna Behler (@Anna_Neurosci)
Collaborators
No response
Brainhack Global 2024 Event
Brainhack Aus
Project Description
The brain is hot and its thermoregulation underlies different boundary conditions than the body's thermoregulation. Heat in the brain is produced as by-product of metabolism and gets primarily removed by blood flow. In the presence of tumours or neurodegenerative processes this balance can be disturbed.
MRI can be used to measure brain temperature via spectroscopy or diffusion. The existing analysis pipelines face many problems. That's what this project is going to address. The first aim is to build a model for the calibration of MRS, and test it on real data. Developing code to handle MRS files is also on the to do list. Secondly, we'd like improve the thermometry based on DWI by automated segmentation of the fourth ventricle. It's also planned to explore how machine learning could be used to remove diffusion artefacts.
Newcomer to deep learning pro...each project aim fits a different skill level.
Onboarding documentation
No response
What will participants learn?
Participants would learn about an overlooked topic and methodology. Coding newbie can start easy with computational modelling and how to handle imaging data.
Data to use
No response
Number of collaborators
more
Credit to collaborators
Project contributors will be acknowledged on project readme and will be listed as co-authors if project eventually ends in a publication.
Title
MRI brain thermometry
Leaders
Christian Behler (@ChristianBehler), Anna Behler (@Anna_Neurosci)
Collaborators
No response
Brainhack Global 2024 Event
Brainhack Aus
Project Description
The brain is hot and its thermoregulation underlies different boundary conditions than the body's thermoregulation. Heat in the brain is produced as by-product of metabolism and gets primarily removed by blood flow. In the presence of tumours or neurodegenerative processes this balance can be disturbed. MRI can be used to measure brain temperature via spectroscopy or diffusion. The existing analysis pipelines face many problems. That's what this project is going to address. The first aim is to build a model for the calibration of MRS, and test it on real data. Developing code to handle MRS files is also on the to do list. Secondly, we'd like improve the thermometry based on DWI by automated segmentation of the fourth ventricle. It's also planned to explore how machine learning could be used to remove diffusion artefacts.
Link to project repository/sources
https://github.com/AnnaBhlr/MRI_BrainThermometry
Goals for Brainhack Global
Good first issues
Communication channels
https://mattermost.brainhack.org/brainhack/channels/brainthermometry
Skills
Newcomer to deep learning pro...each project aim fits a different skill level.
Onboarding documentation
No response
What will participants learn?
Participants would learn about an overlooked topic and methodology. Coding newbie can start easy with computational modelling and how to handle imaging data.
Data to use
No response
Number of collaborators
more
Credit to collaborators
Project contributors will be acknowledged on project readme and will be listed as co-authors if project eventually ends in a publication.
Image
Type
coding_methods, data_management, method_development, pipeline_development
Development status
0_concept_no_content
Topic
deep_learning, diffusion, MR_methodologies, statistical_modelling, other
Tools
Brainstorm, other
Programming language
Python
Modalities
DWI, other
Git skills
0_no_git_skills
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhackorg/project-monitors my project is ready!