Detailed information

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Project title:
Quantitative Susceptibility Mapping from Clinical Phase Data
Principal investigator(s):
Rauscher, Alexander
Co-investigator(s):
Birkl, Christoph; Tam, Roger C
Supervisors:
N/A
Institution paid:
University of British Columbia
Research institution:
University of British Columbia
Department:
N/A
Program:
Project Grant
Competition (year/month):
202203
Assigned peer review committee:
Medical Physics & Imaging
Primary institute:
Neurosciences, Mental Health and Addiction
Primary theme:
Biomedical
Term (yrs/mths):
3 yrs 0 mth
CIHR contribution:
Contributors:
Amount:
$275,400
Equipment:
$0
External funding partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
External applicant partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
External in-kind partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
Keywords:
Brain; Machine Learning; Mri; Neuroimaging
Abstract/Summary:
Susceptibility weighted imaging is an magnetic resonance imaging (MRI) scan widely used in routine brain exams. The scan combines magnitude (which corresponds to the brightness of a lighthouse beam) and phase (which corresponds to the beam's direction) information for improved image contrast. On clinical scanners, the phase has to be filtered so it can be used for SWI, and the original phase is deleted. Due to the filtering, these filtered phase images cannot be used as input into quantitative susceptibility mapping (QSM), a more recent method that allows the quantification of tissue damage. Such maps of susceptibility promise to measure brain iron, myelin content and venous blood oxygenation. The goal of this project is to make these phase images accessible to quantitative susceptibility mapping. With our approach, researchers and clinicians will be able to compute QSM on millions of existing and future clinical scans where no original phase data are available.
Version:
20250311.1