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Published on: December 10, 2014
Effect of using local arterial input functions on cerebral blood flow estimation
Cory Lorenz1, Thomas Benner, Chloe Joan Lopez
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
A new method using local arterial input functions (AIFs) in perfusion-weighted MRI (PWI) improves cerebral blood flow (CBF) estimation in stroke patients by correcting delay and dispersion errors.
Area of Science:
- Neuroimaging
- Medical Physics
- Radiology
Background:
- Perfusion-weighted MRI (PWI) is crucial for assessing cerebral blood flow (CBF) in stroke.
- Standard PWI methods can be affected by delay and dispersion (D/D) errors.
- Accurate CBF estimation is vital for stroke diagnosis and treatment planning.
Purpose of the Study:
- To evaluate a local arterial input function (AIF) method for PWI CBF estimation in stroke patients.
- To determine if local AIFs can correct D/D errors in CBF calculations.
- To compare local AIF-based CBF with global AIF-based CBF.
Main Methods:
- Dynamic susceptibility contrast data from 36 stroke patients were analyzed.
- CBF maps were generated using both global and local AIF techniques.
- Ratios of local-to-global CBF were calculated and analyzed for voxels with normal and abnormal timing parameters.
Main Results:
- CBF estimates using local AIFs were higher on average in voxels affected by D/D.
- High local-to-global CBF ratios were predominantly found in the ipsilateral hemisphere.
- Concentration-time curves in these voxels confirmed the presence of delay or dispersion.
Conclusions:
- The local-AIF technique effectively increases calculated CBF values in tissues with D/D.
- This suggests that the local-AIF method reduces D/D-associated errors in PWI.
- The findings support the use of local AIFs for more accurate stroke imaging.
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