Keywords: Hyperpolarized MR (Non-Gas), Cardiovascular
Motivation: Current hyperpolarized data analysis techniques, first validated for interrogating cancer, are now being utilized for HP 13C cardiac MRI which is metabolically diverse.
Goal(s): Our goal was to explore the viability of applying advanced data analysis techniques to previously acquired HP 13C cardiac data to derive novel and potentially impactful information.
Approach: We applied optimally-truncated SVD based PCA to fasted and fed state [1-13C] pyruvate images and k-means clustering on resulting data.
Results: Low-rank (r=3) PCA results captured sufficient data to represent the pyruvate images and identify plausible separable components of interest. Clustering spatially resolving data sufficiently for potential further constrained analyses.
Impact: Hyperpolarized 13C cardiac MRI can be analyzed using PCA to derive novel and potentially impactful voxel-wise analysis. As use of HP 13C MRI expands to new applications, advanced analysis techniques can be utilized to better characterize complex alterations in metabolism.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords