Using Data-Driven Methods to Improve Brain Blood Flow Measurements in Cerebrovascular Disease with Dynamic Imaging
We present a novel data-driven approach for normalizing CVR maps in patients with bilateral or indeterminate SOD. Using an RFc, our method provides an individualized, brain-wide reference CVR, expanding the utility of CVR estimates beyond the typical constraints of unilateral disease, and with potential application to other, similarly constrained scenarios such as for SPECT or PET hemodynamic studies.
Authors
- Seena Dehkharghani (ORCID: https://orcid.org/0000-0002-3141-1094)
- James Michael Gee (ORCID: https://orcid.org/0000-0002-7491-1769)
- Siddhant Dogra (ORCID: https://orcid.org/0000-0003-2386-7849)
- Koto Ishida (ORCID: https://orcid.org/0000-0003-3856-9684)
- Yihui Zhu (ORCID: https://orcid.org/0000-0002-3390-7173)
- Xiuyuan Wang (ORCID: https://orcid.org/0000-0001-6356-3386)
Institutions
- Cornell University (US)
- New York University (US)
- Stanford University (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-04-22
- DOI
- https://doi.org/10.3174/ajnr.a8813
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00